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Carrefour
Consumer Staples · Food Retail

French multinational retail corporation operating hypermarkets, supermarkets, and convenience stores across Europe, Latin America, and Asia.

HQ: FranceListed: France

Carrefour (CA) Stock Analysis: Compare AI Forecasts & Scenarios

Carrefour has 14 published AI advisor reports. Compare stock forecasts, individual ratings, price targets and bull/bear scenarios, separately from the consensus AI rating.

Updated on 26 October 2026Deep analysis 21 September 2026

Approved byRusslan Ramdowar, Editor-in-Chief
25 min readAudit All Past Forecasts

Carrefour AI Forecast Summary

14 advisor opinions · Base subscription

Unlock the rating distributions, return ranges and advisor comparison with a Base subscription.

1 Year Ratings & Returns

Ratings: 14 Strong Buy

Return range: +25.5% to +41.4%

0 downside · 0 lateral · 14 upside

14 comparable price-return forecasts · Target

5 Year Ratings & Returns

Ratings: 1 Neutral · 7 Buy · 6 Strong Buy

Return range: +19.0% to +133.4%

0 downside · 0 lateral · 14 upside

14 comparable price-return forecasts · Target

From €13.08 · End Of Date

What do advisors disagree on

The decisive disagreement across reports centers on whether Carrefour's multi-year cost-reduction and franchise restructuring can structurally elevate operating profit margins toward 3.5 percent, or whether grocery price wars will absorb every euro saved. Optimistic views argue asset-light franchising and retail media create an unpriced earnings inflection. Conversely, cautious analyses show gross margins are already contracting under defensive discounting, meaning headline EPS gains largely mirror temporary debt refinancing benefits rather than genuine retail pricing power. Monitoring gross margin trajectory and comparable net debt will resolve this debate.

Compare all 14 opinions

1 Year & 5 Year ratings, targets & returns · Swipe table to compare

AdvisorModelResearch1 Year5 YearFull Report
Target dateRatingPrice targetPrice returnReturn incl. dividendsTarget dateRatingPrice targetPrice returnReturn incl. dividends
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedStrong Buy€17.78+36.0%+42.6%Buy€23.46+79.4%+133.7%Full report
Universal Investor AI The Polymath FrameworkGPT-6 AstraResearcher Mode with Web Search UsedStrong Buy€16.53+26.4%+32.6%Buy€20.80+59.1%+107.2%Full report
Universal Investor AI The Polymath FrameworkClaude Opus 5Researcher Mode with Web Search UsedStrong Buy€16.57+26.7%+32.9%Buy€20.35+55.6%+102.7%Full report
J.P. Morgan AI The Titan FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy€18.49+41.4%+48.3%Strong Buy€30.53+133.4%+204.1%Full report
Ray Dalio AI The Strategist FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy€18.13+38.6%+45.4%Strong Buy€25.88+97.8%+157.7%Full report
Michael Burry AI The Vulture FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy€18.49+41.4%+48.3%Strong Buy€25.87+97.8%+157.7%Full report
Niccolo Machiavelli AI The Insider FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedStrong Buy€18.31+40.0%+46.9%Strong Buy€24.63+88.3%+145.3%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledStrong Buy€17.95+37.2%+44.0%Strong Buy€24.61+88.1%+145.1%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedStrong Buy€17.96+37.3%+44.0%Strong Buy€24.40+86.5%+143.0%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedStrong Buy€17.78+36.0%+42.6%Buy€23.68+81.0%+135.8%Full report
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledStrong Buy€17.60+34.6%+41.2%Buy€23.42+79.1%+133.3%Full report
Sherlock Holmes AI The Whistleblower FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedStrong Buy€17.43+33.3%+39.8%Buy€20.21+54.5%+101.3%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledStrong Buy€16.42+25.5%+31.7%Buy€16.87+29.0%+68.1%Full report
Elon Musk AI The Visionary FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedStrong Buy€16.75+28.0%+34.3%Neutral€15.57+19.0%+55.1%Full report
View all 14 opinions

All 14 opinions are displayed in the table above.

Prices, dates & return assumptions

1 Year and 5 Year identify the original published checkpoints. Current returns compare the dated close with each fixed target over its remaining horizon. Original quarterly tables use the publication-time anchor. Targets and observed prices share a split-adjusted basis.

Lateral means a price return from -1% to +1%, inclusive. Downside is below -1%; upside is above +1%. Ratings use the shared volatility-adjusted calculation and can differ from these price-direction categories.

Dividend returns model a 5.56% annual net yield, reinvested over the remaining time to target.

Ranges and rating distributions use matching currencies, price bases and target dates. Missing or expired checkpoints are excluded; targets are never extrapolated. Shared frameworks and models can produce correlated opinions.

How this research is produced

iPulse AI analyzes each asset through structured investment frameworks using curated data and frontier models. Individual reports feed consensus, rankings, and reviewed selections. Past forecasts are preserved for evaluation as outcomes emerge.

Carrefour Stock Analysis & Forecast — Universal Investor The Polymath Framework on Gemini 3.8 Flash Model

Universal Investor AI advisor icon

Universal Investor AI · The Polymath Framework

Gemini 3.8 Flash AI Researcher Web Search Used

5 Year Rating

Buy

5 Year Price Return

+79.4%

Incl. net dividends

+133.7%

Framework Description & Key Record Dates

Investment Framework

The Polymath Framework: Eight-Lens Investment Analysis Framework

Analysis Framework Description: Select the lenses with the greatest explanatory power, resolve their disagreements across horizons, and connect the evidence to a consistent thesis, scenario path, and verdict.

  • Ownership and value: examine economic rights, competitive advantage, capital allocation, and the price paid.
  • Regimes and constraints: connect credit, liquidity, policy, demand, and physical bottlenecks to the asset.
  • Innovation and adaptation: test adoption economics, AI and robotics exposure, substitution, and value capture.
  • Forensics and incentives: reconcile accounting, cash conversion, dilution, governance, and missing evidence.
  • Expectations and reflexivity: distinguish changes in fundamentals from changes in narratives and valuation.
  • Probabilities and resilience: use base rates, competing scenarios, catalysts, and the capacity to survive the wait.
  • Power and the rules of the game: assess political interests, regulatory influence, protection, and dependency.
  • Industry structure and consolidation: identify pricing power, chokepoints, alliances, and the economics of integration.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour: Historical Prices & Published Forecast (The Polymath Framework on Gemini 3.8 Flash model)

Carrefour: Historical Prices & Published Forecast (The Polymath Framework on Gemini 3.8 Flash model)Observed prices and the selected advisor's published projection share a split-adjusted price basis. Prices after the forecast start are later observations, not information known at publication. Values in EUR.10.5814.0917.6121.1224.64Sep 2021Mar 2024Sep 2026Mar 2029Sep 2031Forecast startsToday (UTC)
  • Observed price
  • Published advisor forecast
Observed prices and the selected advisor's published projection share a split-adjusted price basis. Prices after the forecast start are later observations, not information known at publication. Values in EUR.

Carrefour: Quarterly Price Forecasts & Scenarios (The Polymath Framework on Gemini 3.8 Flash model)

Price targets, price returns and complete scenario reasoning

Forecast prices in EUR. Price returns are cumulative from the original forecast anchor dated 2026-09-18; they exclude dividends. Swipe horizontally to read every column.

QuarterForecastPrice returnScenario
€16.92+3.0%

Q3 revenue reflects solid French food volume resilience and Cora store ramp-up. Operating margin progress and year-end cash flow visibility confirm the 2026 guidance, driving modest multiple expansion as retail media monetization begins contributing meaningfully to earnings.

€17.09+4.0%

Full-year 2026 results confirm recurring operating income growth and 1.5 billion euros net free cash flow. Winter seasonal trading delivers stable margins, although higher European energy overheads and ongoing French promotional competition moderately temper quarterly multiple expansion.

€17.43+6.1%

First-quarter 2027 like-for-like sales accelerate across Spain and France, supported by private-label penetration reaching 38%. Ex-Cora store conversions yield operational synergies, while Brazilian cash-and-carry formats stabilize, supporting sequential earnings accretion and share buyback execution.

€17.78+8.2%

H1 2027 earnings confirm French operating margin expansion above 2.0%, corroborated by 500 million euros in cumulative half-year cost savings. Debt reduction accelerates via completed Romanian asset proceeds, instigating steady institutional accumulation amid a volatile macroeconomic backdrop.

€18.32+11.5%

Strong back-to-school and holiday grocery traffic enhances working capital inflows. Private-label brand equity insulates gross margins from commodity fluctuations, which leads to upward revisions in full-year operating profit consensus and a stronger equity rerating.

€18.50+12.6%

Full-year 2027 reporting validates the Carrefour 2030 interim milestones with operating margins touching 3.0%. Dividend payout increases by 10%, though Brazilian interest rates and selective price matching against German discounters restrain further price acceleration.

€18.87+14.8%

Spring retail data shows market share stabilization in France at 20.5%, aided by expanded convenience formats. Digital commerce reach via agentic platforms improves order frequency, which leads to improved operational leverage and sustained cash generation.

€19.25+17.1%

Mid-year financial disclosures reveal Net Free Cash Flow exceeding 1.6 billion euros on an annualized run-rate. Balance sheet deleveraging continues as net debt falls toward 4.8 billion euros, reinforcing investor confidence in the durability of capital returns.

€19.82+20.7%

Fourth-quarter trading benefits from operational integration of automated fulfillment centers, lowering supply chain unit costs. Resilient consumer demand for staple food offsets non-food softness, leading to above-consensus seasonal cash flow generation and price appreciation.

€20.0+21.9%

Annual 2028 figures confirm cumulative three-year net free cash flow of 4.9 billion euros, meeting management guidance. Modest wage renegotiations in Western Europe slightly dampen sentiment, but robust dividend distributions preserve supportive investor positioning.

€20.4+24.3%

Q1 2029 like-for-like sales display resilience across Spain and Brazil. Atacadao store network expansion delivers positive operating leverage, corroborated by higher supplier rebates achieved through European purchasing alliance Concordis, which bolsters gross profitability.

€20.6+25.5%

First-half 2029 results highlight retail media profit contributions reaching 200 million euros annualized. Private-label food sales cross the 40% threshold, shielding merchandise margins from agricultural input swings and sustaining predictable quarterly earnings growth.

€21.0+28.1%

Year-end seasonal grocery expenditure peaks, while inventory optimization algorithms reduce retail shrinkage. Working capital inflows expand year-end cash balances, enabling management to authorize an incremental 300 million euro share repurchase tranche.

€21.2+29.3%

Full-year 2029 financial metrics demonstrate operating margin durability near 3.3%. Market consensus acknowledges Carrefour's structural shift toward a higher-return franchise and convenience model, driving a stable valuation floor against broader European equity stagnation.

€21.7+31.9%

Early 2030 sales figures confirm market share gains across core metropolitan convenience clusters. Ex-Cora integration is fully digested with return on invested capital expanding, which leads to steady quarterly equity accumulation by dividend-oriented institutional funds.

€22.1+34.6%

H1 2030 operating income beats expectations, driven by Brazilian profitability rebound and Latin American debt normalization. Free cash flow generation remains comfortably above 1.5 billion euros, confirming the resilience of the Group's multi-format retail engine.

€22.6+37.3%

Group approaches the terminal phase of the Carrefour 2030 strategic plan with operating margins reaching 3.4%. Strong holiday trade and streamlined European store operations prompt another valuation re-rating toward 12x forward earnings.

€22.8+38.6%

FY 2030 earnings release confirms achievement of the 3.5% operating margin target across core geographies. Net debt-to-EBITDA settles near 1.2x, validating the multi-year balance sheet transformation and supporting sustained capital returns.

€23.2+41.4%

Spring retail audits confirm Carrefour has entrenched its position as Europe's primary omnichannel food retailer. Stable cash conversion and incremental franchise royalty income support steady earnings expansion despite mature European population dynamics.

€23.5+42.8%

Terminal forecast period exhibits mature compounder characteristics. Substantial cumulative share retirements over five years amplify per-share equity value, cementing Carrefour's re-rating as a defensive, high-cash-generation staple stalwart with minimal structural leverage.

Show remaining 18 quarters

All 20 quarters are displayed in the table above.

Carrefour: Investment Thesis Base Case (The Polymath Framework on Gemini 3.8 Flash model)

The forensic case for Carrefour centers on a stark divergence between operational cash generation and depressed market valuation. While headline net income appears volatile due to peripheral asset write-downs, recurring operating income is expanding across core pillars in France, Spain, and Brazil. Evidence indicates the Carrefour 2030 initiatives—specifically one billion euros in annual cost reductions, private-label expansion toward 40% of food volume, and Cora synergy capture—are structurally raising EBIT margins toward 3.2%. The business generates consistent annual free cash flow exceeding 1.5 billion euros, enabling steady deleveraging, high dividend payouts, and opportunistic share repurchases.

  • Normalized recurring operating profit of 2.4 billion euros in 2027 anchors an intrinsic equity valuation near 20 euros.
  • The prevailing enterprise multiple of 2.7x EBITDA represents an unsustainable 35% discount to European food retail peers.
  • Cumulative free cash flow of 4.8 billion euros through 2028 covers all debt maturities, securing shareholder returns.

Carrefour: Scenarios & Signals (The Polymath Framework on Gemini 3.8 Flash model)

Bull Case

Accelerated Cora integration synergies combined with rapid grocery volume recovery activate the bull thesis. As gross cost reductions surpass 1.2 billion euros annually, private-label food penetration breaches 45% and Unlimitail retail media scales exponentially across Europe. Operating margins expand rapidly to 3.5% by 2028, driving adjusted earnings per share growth above 15% annually. Management accelerates share buybacks and raises dividends, prompting an aggressive institutional re-rating toward 26.00 euros per share.

Bear Case

A destructive French grocery price war initiated by independent cooperatives activates the bear case. Compelled to fund aggressive price matching against E.Leclerc while absorbing persistent wage inflation, Carrefour suffers severe operating deleverage. French operating margins compress below 1.8%, while Brazilian macroeconomic instability diminishes Atacadao's cash flow contribution. Facing restricted free cash flow and persistent leverage above 6.0 billion euros, management cuts the dividend, driving the share price down toward 12.50 euros.

Behavioral Alpha Signals

Sentiment, repricing cycle, crowd narrative, catalyst, and macro alignment.

Expected Volatility Regime: Low

Greed and Fear Index: -35 / 100 (Fear)

-35

Cycle Position: Stabilization

The reset is mostly complete and price drifts toward fair value.

EarlyAwareMomentumOvershootReversalCapit.StabilizeSTABILIZATION
Figure: Advisor position within the seven-stage market-recognition cycle. The highlighted point marks Stabilization.
What does Media Tell? (Crowd Consensus)

The consensus narrative dismisses Carrefour as an ex-growth hypermarket operator structurally losing ground to aggressive French cooperatives like E.Leclerc. Sell-side models treat the Carrefour 2030 operating margin target of 3.5% as unachievable fantasy, anchoring valuation to depressed retail multiples below 3.0x EBITDA. Investors treat volatile Latin American earnings and French price competition as permanent structural impairments.

What Crowds Get Wrong? (Alpha/Value Gap)

The crowd substantially underestimates Carrefour's true cash generation and underlying operational inflection, implying significant equity underpricing. Forensic inspection shows reported net income was suppressed by transitory non-cash goodwill impairments in Italy and Argentine hyperinflation adjustments. In reality, core operations in France and Brazil are expanding recurring operating profits, while annual free cash flow consistently exceeds 1.5 billion euros. Trading at an exceptional 15% normalized free cash flow yield with net debt declining toward 5.0 billion euros, the stock offers an unpriced margin of safety.

When will Value Gap Repricing Happen? (Repricing Catalyst)

The decisive catalyst is the progressive delivery of one billion euros in cost savings alongside Cora synergy extraction across 2026 and 2027. Corroborated by net debt declining below 5.0 billion euros, consecutive margin improvements will force sell-side analysts to abandon excessive risk discounts and re-rate the multiple toward historical norms.

How is Asset Influenced by Macro Regime?

The current macro environment of ECB tightening, elevated oil prices above 100 dollars, and persistent European inflation acts as an operational tailwind for food retail volume. Consumers trade down to high-margin private labels, while Carrefour's substantial cash float provides immunity to elevated interest rates compared to indebted consumer discretionary rivals.

Carrefour: Positive & Negative Factors, Risks & Opportunities (The Polymath Framework on Gemini 3.8 Flash model)

Base-Case Forces

Top Drivers / Tailwinds

Base-case positive forces

Structural or operating forces that support this advisor thesis. Base-case means above 70% probability of occurrence. Probabilities are model estimates; unquantified forces retain their published group.

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Top Drivers / Tailwinds with asset-specific estimated impacts and thesis rationale
Driver / TailwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
COST Cutting Execution AND CORA SynergyOperational Efficiency+15%+18%Evidence indicates Carrefour's one billion euro annual gross cost-reduction initiative is delivering measurable operating leverage across Western Europe. Concurrently, the integration of 60 former Cora hypermarkets and 115 Match supermarkets is generating significant procurement synergies and logistics density. This operational streamlining directly widens recurring operating margins, which leads to projected cumulative earnings expansion of 18% as French profitability rebounds.
Private Label Penetration AND Discount FCompetitive Positioning+12%+14%The structural expansion of private-label merchandise toward 40% of food sales provides a potent competitive shield against hard discounters. Private brands generate 200 to 300 basis points higher gross margins than national brands while offering consumers affordable baskets during stagflationary periods. This trend sustains store footfall and strengthens pricing power, translating into durable market-share gains and dependable operating cash flows.
Disciplined Deleveraging AND HIGH YieldCapital Allocation+10%+8.0%The balance sheet shows net debt reduced to 5.8 billion euros by mid-2026, corroborated by disciplined capital expenditure capped below two billion euros. With normalized free cash flow reliably exceeding 1.5 billion euros annually, Carrefour possesses substantial capital flexibility. This enables consistent 5% to 8% dividend yields alongside opportunistic share buybacks, which mechanically elevates earnings per share and forces an equity re-rating.
Retail Media Monetization AND Agentic EInnovation And Product+8.0%+10%The expansion of Unlimitail, Carrefour's retail media joint venture with Publicis, captures high-margin digital advertising budgets directly from FMCG manufacturers. Furthermore, native integration with ChatGPT and Gemini converts search intent into automated transactions. These high-margin digital revenue streams carry operating margins exceeding 50%, providing an incremental 200 million euro annual EBIT boost that sell-side models consistently fail to capture.
Top Frictions / Headwinds

Base-case negative forces

Expected frictions that can slow, cap, or damage this advisor thesis. Base-case means above 70% probability of occurrence. Probabilities are model estimates; unquantified forces retain their published group.

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Top Frictions / Headwinds with asset-specific estimated impacts and thesis rationale
Friction / HeadwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Hypermarket Structural DRAG AND Price COSector And Industry-11%-13%Independent cooperative retailers, notably E.Leclerc and Intermarche, maintain aggressive pricing pressure across the French grocery landscape. Because large-format hypermarkets face structural traffic headwinds and elevated fixed costs, Carrefour must continually fund promotional price cuts to protect volume. This chronic competitive friction caps gross margin expansion, dragging five-year operating profits down by an estimated 13% relative to unconstrained potential.
Persistent European Stagflation AND PURCMacroeconomic And Macrofinancial-9.0%-11%Elevated crude prices above 100 dollars and renewed central bank tightening by the ECB squeeze European household discretionary budgets. Evidence demonstrates consumers are selectively downsizing basket sizes and deferring non-food purchases in hypermarkets. This macro contraction dampens general merchandise sales and curbs high-margin discretionary turnover, which directly impairs overall store productivity and restricts headline top-line revenue growth across French and Spanish stores.
WAGE Inflation AND Supply Chain StickineOperational Efficiency-7.0%-8.0%Labor agreements and statutory minimum wage increases across France, Spain, and Belgium exert persistent upward pressure on retail store operating expenses. Combined with elevated logistics, transport, and refrigeration power costs, these sticky operational expenditures dilute gross cost-savings achievements. Unless offset by automation, rising unit labor costs will continue to erode operating leverage and constrain net margin expansion over the forecast horizon.
Emerging Market Currency Volatility ANDPolitical And Geopolitical-6.0%-7.0%Carrefour generates approximately 20% of sales from Latin America, exposing consolidated earnings to Brazilian real fluctuations and Argentine hyperinflation. Currency depreciation diminishes the euro value of Brazilian subsidiary Atacadao's operating profits and inflates local import costs. Furthermore, local tax disputes and high domestic borrowing rates in Brazil create intermittent non-operating friction that reduces net income conversion for European equity holders.

Risks & Opportunities

Tail Risks

Plausible downside scenarios

Less likely downside scenarios that could materially hurt the outcome if they occur.

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Tail risks with plausibility, asset-specific potential impact and scenario rationale
Tail scenarioChance of OccurringStock Price ImpactWhy plausible / what changes
Predatory French Grocery Price WAR Escalation35%-18%An aggressive, uncoordinated price war initiated by independent cooperative giant E.Leclerc represents a severe downside trigger. Triggered by rising consumer pushback against food inflation in 2027, an all-out price confrontation would compel Carrefour to sacrifice gross margins to preserve volume. The resulting margin collapse would erase French recurring operating profit by more than 25%, sharply impairing free cash flow generation. The risk remains below 50% probability because cooperative retailers also face binding labor and logistics inflation.
Severe Brazilian Macroeconomic Crisis AND Devaluat20%-15%A severe fiscal crisis in Brazil triggering sharp currency depreciation and aggressive central bank interest rate hikes represents a major downside threat. Triggered by sovereign debt stress in late 2027, this scenario would crush consumer purchasing power at Atacadao and inflate local borrowing costs. Consolidated euro earnings would contract sharply, while repatriation of Brazilian cash flows would face friction, driving equity multiple compression. The event remains below 50% probability due to Brazil's robust agricultural export base.
Tail Opportunities

Plausible upside scenarios

Less likely upside scenarios that could materially improve the outcome if they occur.

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Tail opportunities with plausibility, asset-specific potential impact and scenario rationale
Tail scenarioChance of OccurringStock Price ImpactWhy plausible / what changes
Strategic French FOOD Retail Consolidation Breakth25%+22%A potential consolidation transaction or structural purchasing alliance with a struggling French retail competitor, such as Casino's remnants or Auchan's hypermarket portfolio, could trigger significant re-rating. Triggered by intensifying European regulatory pragmatism around food sovereignty, such a deal would expand Carrefour's domestic market share past 25% by 2028. This would unlock massive procurement synergies and scale efficiencies, boosting earnings by 20%. The event remains below 50% probability due to stringent French antitrust scrutiny.
Accelerated Unlimitail Retail Media Platform SPIN30%+16%Unlimitail, the retail media joint venture with Publicis, could achieve explosive commercial adoption across third-party European retailers seeking data monetization. If management executes a partial monetization, strategic minority sale, or separate listing of this high-margin digital platform by 2029, it would crystallize a software-style valuation multiple. This would generate over 1.5 billion euros in cash proceeds, funding massive special dividends. The event remains below 50% probability given the nascent state of pan-European retail media standards.

Carrefour: References & Context (The Polymath Framework on Gemini 3.8 Flash model)

Research Provenance13 sources · 2 search terms
Researcher modeWeb Search Used

Web Search was used. The retained search terms and consulted sources are shown below.

Context supplied to the model

Public-safe inputs retained with this immutable forecast publication.

  1. Market datainmemory_base_placeholders__latest_eod_close_price_with_stats_and_fundamentals__var1
  2. Global context in this runUsed
    2025 Full-Year Global Market and World-Events Context

    This full-year context package covers the principal geopolitical, economic, monetary-policy, technology, trade, energy, and institutional developments that shaped global markets during 2025. It gives the forecasting model a chronological account of major world events together with their likely transmission into growth, inflation, interest rates, supply chains, commodities, currencies, public markets, and sector-level investment conditions.

    2026 Year-to-Date Global Market and World-Events Context Through September 20

    January 1-September 20, 2026: monetary tightening, energy security, trade restrictions, AI financing and divergent growth; five leading market themes.

  3. Fundamental data in this runUsed
    Fundamental Context Passed as Input to the Models

    Time range: Annual fiscal periods: 2014-12-31–2025-12-31, 12 periods; Quarterly fiscal periods: 2023-12-31–2026-06-30, 6 periods. Currencies cited: EUR, USD (quote EUR; primary reporting EUR; converted/valuation USD).

  4. Global contextStandard global market and cross-asset context
  5. Subject contextEquity-specific subject and market context
  6. Task frameworkStandard investment-forecast task guidelines
  7. Advisor frameworkUniversal Investor The Polymath
  8. Forecast output requestedEquity Extended Investment Thesis (4 Quadrants and Alpha Asymmetry) + Pct Change Timeseries for Close Price with Rationale, (5Y Quarterly)

Search terms retained

  1. 1.Carrefour strategy plan 2026 retail media cost savings
  2. 2.Carrefour financial results 2025 2026 sales France Brazil E Leclerc

Sources retained for this advisor

  • [1]euronext.com
  • [2]carrefour.com
  • [3]carrefour.com
  • [4]carrefour.com
  • [5]transforml.co
  • [6]retaildetail.eu
  • [7]coresight.com
  • [8]publicnow.com
  • [9]globalbankingandfinance.com
  • [10]youtube.com
  • [11]carrefour.com
  • [12]investing.com
  • [13]publicnow.com

Original Published Forecast

Inspect the original revision and its sealed receipt.

How to understand these AI forecasts

How does an AI-generated forecast for Carrefour differ from Wall Street analyst consensus?

Wall Street consensus aggregates estimates from human analysts. For listed companies, these typically include brokerage price targets, earnings forecasts and ratings. iPulse AI's forecast for Carrefour is a separate AI consensus generated through its own research workflow. Different inputs, forecast dates, assumptions and weighting can therefore produce different targets.

We believe the era of investment research conducted only by human analysts is drawing to a close. Frontier models increasingly match or exceed expert work on selected professional benchmarks, including evaluations covering financial analysis. Research on multi-model synthesis also shows that combining model responses can improve on a single model's output in the tasks studied.

iPulse AI generates transparent investment research and market forecasts using a swarm of AI configurations, analytical frameworks and frontier models. The workflow applies multiple verification, challenge and synthesis layers, with selective editorial review under Russlan Ramdowar, Editor-in-Chief. Published assumptions, disagreements and past forecasts remain available so readers can inspect the reasoning and audit outcomes.

For a research cycle covering 426 assets with 14 perspectives per asset, our internal workload model estimates approximately 114,000 hours of traditional analyst work. It assumes 16 hours per individual research report, 28 hours per consensus for synthesis and validation, plus shared data preparation. Parallel AI execution allows a deep-analysis cycle across hundreds of assets to complete in up to one day. The human-hours figure is an illustrative workload estimate, rather than measured time savings. Our research methodology explains the automated workflow.

If iPulse AI produces thousands of investment reports - work estimated to require over 100,000 traditional analyst hours - isn't that just "AI slop" at scale?

No. iPulse AI produces AI-generated research at scale, but the purpose is depth of analysis, comparison, and accountability. The number of reports is a consequence of the research process; it is not the goal.

iPulse AI does not produce thin copies of existing websites, articles, or investment reports. We use frontier models as an Analytical Intelligence layer. Our Financial Experts select, validate, curate, and supply the input data, including proprietary inputs, so the models work from a prepared evidence base.

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This explains the volume. The value comes from what we do with the analysis.

A second layer synthesizes the individual reports into an asset-level consensus. This is where we recommend starting when researching a particular asset: it brings together the central thesis, supporting evidence, risks, and disagreements while preserving access to the underlying opinions.

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But the process does not end when a report is published. We preserve past forecasts so users with the relevant subscription can inspect what the system actually said and compare it with subsequent market outcomes. As more forecasts reach their target dates, the historical record becomes more useful for evaluating which approaches worked, which failed, and under what conditions.

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The standard we ask users to judge us by is the reasoning, evidence, and historical record behind the research.

What do the individual AI forecasts for Carrefour represent?

Each report presents one AI advisor configuration's analysis of Carrefour, including its investment framework, assumptions, forecast path, drivers, and risks. The reports provide different analytical perspectives on the same asset so you can examine the reasoning behind their conclusions.

How are these forecasts different from the AI Consensus?

The individual forecasts show each advisor's reasoning and outlook. The AI Consensus synthesizes those views into an overall assessment of Carrefour. Start with the consensus for an overview, then explore individual reports to understand the strongest supporting arguments, objections, and disagreements.

Are the named AI advisors the actual investors or public figures?

No. They are AI analytical frameworks inspired by publicly documented investment approaches or broader schools of thought. Their reports are generated by AI within the iPulse AI research workflow. The names do not imply participation, endorsement, or a personal forecast from those individuals.

What is the difference between Thinker and Researcher mode?

Thinker mode reasons over the supplied data and context without external web search. Researcher mode can investigate additional external evidence when needed. Being configured as Researcher does not necessarily mean a particular report used web search; consult the report's research details where available.

Why do the AI advisors disagree about Carrefour?

Different frameworks emphasize different evidence and assumptions. One may prioritize valuation, another technological growth, and another macroeconomic or political risk. Disagreement helps identify which assumptions deserve closer investigation. Agreement can also reflect shared inputs or model behavior, so it should not be treated as proof of accuracy.

How often are the reports updated?

The analytical content is updated during deep-analysis batch runs. We run each batch across all covered assets within the same research cycle, providing a consistent basis for comparison, scoring, and ranking. Currently, these batches run every few weeks; our aim is to increase the frequency to once a week.

Between batches, we update price-based expected returns and ratings daily using the latest available market prices. For example, a sharp price increase can reduce an asset's expected upside and change a previously published Buy rating. This keeps the price-based assessment current without presenting the underlying analytical report as newly generated.

Editorial Top Picks receive an additional weekly review, providing another check on whether current evidence continues to support the selected investment theses.

What can I read without signing in, and what requires a subscription?

You can read the public preview and the methodology explanations available on this page. Additional advisor reports, comparisons, configuration details, and historical records may require signing in and a subscription that includes the relevant asset or feature. Access prompts explain what is needed.

How do these forecasts contribute to Live Rankings and Editorial Top Picks?

Individual forecasts contribute to the asset's consensus and quantitative scoring. Live Rankings compare assets using the published scoring methodology. Editorial Top Picks add a further review of selected candidates, current evidence, investment theses, and risks, followed by human editorial approval. For example, explore our Best Long-Term Investments.

Can I inspect previous forecasts for Carrefour and see what happened?

Forecast History lets you inspect earlier published forecasts, subject to your subscription access. Read each forecast against its original publication date, assumptions, and target dates. As outcomes become observable, those records support evaluation of what worked and what did not. Broader findings and methodological changes appear in Research and Lessons Learned.

Carrefour Stock Analysis & Forecast — Universal Investor The Polymath Framework on GPT-6 Astra Model

Universal Investor AI advisor icon

Universal Investor AI · The Polymath Framework

GPT-6 Astra AI Researcher Web Search Used

5 Year Rating

Buy

5 Year Price Return

+59.1%

Incl. net dividends

+107.2%

Framework Description & Key Record Dates

Investment Framework

The Polymath Framework: Eight-Lens Investment Analysis Framework

Analysis Framework Description: Select the lenses with the greatest explanatory power, resolve their disagreements across horizons, and connect the evidence to a consistent thesis, scenario path, and verdict.

  • Ownership and value: examine economic rights, competitive advantage, capital allocation, and the price paid.
  • Regimes and constraints: connect credit, liquidity, policy, demand, and physical bottlenecks to the asset.
  • Innovation and adaptation: test adoption economics, AI and robotics exposure, substitution, and value capture.
  • Forensics and incentives: reconcile accounting, cash conversion, dilution, governance, and missing evidence.
  • Expectations and reflexivity: distinguish changes in fundamentals from changes in narratives and valuation.
  • Probabilities and resilience: use base rates, competing scenarios, catalysts, and the capacity to survive the wait.
  • Power and the rules of the game: assess political interests, regulatory influence, protection, and dependency.
  • Industry structure and consolidation: identify pricing power, chokepoints, alliances, and the economics of integration.
Full framework methodology
Model Producer:
OpenAI
Model Version:
GPT-6 Astra
Mode Used:
Researcher
Web Search Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Universal Investor The Polymath Framework on Claude Opus 5 Model

Universal Investor AI advisor icon

Universal Investor AI · The Polymath Framework

Claude Opus 5 AI Researcher Web Search Used

5 Year Rating

Buy

5 Year Price Return

+55.6%

Incl. net dividends

+102.7%

Framework Description & Key Record Dates

Investment Framework

The Polymath Framework: Eight-Lens Investment Analysis Framework

Analysis Framework Description: Select the lenses with the greatest explanatory power, resolve their disagreements across horizons, and connect the evidence to a consistent thesis, scenario path, and verdict.

  • Ownership and value: examine economic rights, competitive advantage, capital allocation, and the price paid.
  • Regimes and constraints: connect credit, liquidity, policy, demand, and physical bottlenecks to the asset.
  • Innovation and adaptation: test adoption economics, AI and robotics exposure, substitution, and value capture.
  • Forensics and incentives: reconcile accounting, cash conversion, dilution, governance, and missing evidence.
  • Expectations and reflexivity: distinguish changes in fundamentals from changes in narratives and valuation.
  • Probabilities and resilience: use base rates, competing scenarios, catalysts, and the capacity to survive the wait.
  • Power and the rules of the game: assess political interests, regulatory influence, protection, and dependency.
  • Industry structure and consolidation: identify pricing power, chokepoints, alliances, and the economics of integration.
Full framework methodology
Model Producer:
Anthropic
Model Version:
Claude Opus 5
Mode Used:
Researcher
Web Search Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — J.P. Morgan The Titan Framework on Gemini 3.8 Flash Model

J.P. Morgan AI advisor icon

J.P. Morgan AI · The Titan Framework

Gemini 3.8 Flash AI Researcher Web Search Not Used

5 Year Rating

Strong Buy

5 Year Price Return

+133.4%

Incl. net dividends

+204.1%

Framework Description & Key Record Dates

Investment Framework

The Titan Framework: Empire Dominance Assessment

Analysis Framework Description: The Titan looks for who sets the terms. It grades whether an asset controls price, infrastructure, distribution, capital flows, or ecosystem access, then asks whether that dominance is expanding or inviting a counterattack.

  • Measure pricing power and whether customers have credible alternatives.
  • Map infrastructure, distribution, data, supply, or capital choke points.
  • Evaluate whether acquisitions strengthen the moat or merely add complexity.
  • Identify antitrust, succession, and regulatory antibodies against dominance.
  • Ask whether the asset collects rent from the system or pays rent to someone else.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Not Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Ray Dalio The Strategist Framework on Gemini 3.8 Flash Model

Ray Dalio AI advisor icon

Ray Dalio AI · The Strategist Framework

Gemini 3.8 Flash AI Researcher Web Search Not Used

5 Year Rating

Strong Buy

5 Year Price Return

+97.8%

Incl. net dividends

+157.7%

Framework Description & Key Record Dates

Investment Framework

The Strategist Framework: Economic Machine Framework

Analysis Framework Description: The Strategist treats markets as cause-effect systems. The page explains how this persona separates cyclical expansion from deleveraging, temporary policy support from durable productivity, and short-term noise from long-wave regime change.

  • Identify the current short-term debt cycle and whether liquidity is expanding or contracting.
  • Map long-term deleveraging pressure and the asset's sensitivity to credit stress.
  • Assess reserve-currency, empire-cycle, and geopolitical pressure around the asset class.
  • Separate temporary policy support from durable productivity-driven value creation.
  • Translate macro regime into asset positioning, expected catalysts, and horizon risk.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Not Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Michael Burry The Vulture Framework on Gemini 3.8 Flash Model

Michael Burry AI advisor icon

Michael Burry AI · The Vulture Framework

Gemini 3.8 Flash AI Researcher Web Search Not Used

5 Year Rating

Strong Buy

5 Year Price Return

+97.8%

Incl. net dividends

+157.7%

Framework Description & Key Record Dates

Investment Framework

The Vulture Framework: Contrarian Forensic Framework

Analysis Framework Description: The Vulture starts with the crowd story and looks for the single fact, balance sheet pressure point, or dated catalyst that can force a repricing in either direction.

  • State the consensus story clearly before attacking it.
  • Search for balance sheet fragility, liquidity pressure, and hidden leverage.
  • Compare market narrative against hard evidence, filings, costs, and positioning data.
  • Identify the catalyst that could force the market to care.
  • Estimate upside and downside asymmetry if the crowd is wrong.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Not Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Niccolo Machiavelli The Insider Framework on Gemini 3.8 Flash Model

Machiavelli AI advisor icon

Machiavelli AI · The Insider Framework

Gemini 3.8 Flash AI Researcher Web Search Used

5 Year Rating

Strong Buy

5 Year Price Return

+88.3%

Incl. net dividends

+145.3%

Framework Description & Key Record Dates

Investment Framework

The Insider Framework: Power Audit Framework

Analysis Framework Description: The Insider asks who has power over the asset, how durable that power is, and whether the market is pricing the protection, threat, or political optionality correctly.

  • Map who can protect, subsidize, regulate, restrict, or destroy the asset's economics.
  • Track lobbying, procurement, sanctions, antitrust, and strategic policy exposure.
  • Identify insiders, capital networks, and institutions that are quietly positioned.
  • Estimate whether political power creates a valuation premium or discount.
  • Separate visible business performance from invisible power structure risk.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Warren Buffett The Value Seeker Framework on Gemini 3.8 Flash Model

Warren Buffett AI advisor icon

Warren Buffett AI · The Value Seeker Framework

Gemini 3.8 Flash AI Thinker Web Search Not Used

5 Year Rating

Strong Buy

5 Year Price Return

+88.1%

Incl. net dividends

+145.1%

Framework Description & Key Record Dates

Investment Framework

The Value Seeker Framework: Value Ownership Framework

Analysis Framework Description: The Value Seeker turns market noise into an ownership decision: understand the asset, judge the moat, estimate owner economics, evaluate management or governance, compare price with value, and demand a financial fortress.

  • Treat every asset as a business to be owned, not a ticker to be traded.
  • Stay inside the circle of competence before assigning conviction.
  • Map the moat type, moat durability, and whether the moat is widening or eroding.
  • Estimate owner economics through cash generation, ROIC, and reinvestment runway.
  • Audit management integrity, governance, and capital allocation rationality.
  • Compare intrinsic value to the market price with a real margin of safety.
  • Stress-test the financial fortress before accepting long-term ownership risk.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Thinker
Web Search Not Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Warren Buffett The Value Seeker Framework on Gemini 3.8 Flash Model

Warren Buffett AI advisor icon

Warren Buffett AI · The Value Seeker Framework

Gemini 3.8 Flash AI Researcher Web Search Used

5 Year Rating

Strong Buy

5 Year Price Return

+86.5%

Incl. net dividends

+143.0%

Framework Description & Key Record Dates

Investment Framework

The Value Seeker Framework: Value Ownership Framework

Analysis Framework Description: The Value Seeker turns market noise into an ownership decision: understand the asset, judge the moat, estimate owner economics, evaluate management or governance, compare price with value, and demand a financial fortress.

  • Treat every asset as a business to be owned, not a ticker to be traded.
  • Stay inside the circle of competence before assigning conviction.
  • Map the moat type, moat durability, and whether the moat is widening or eroding.
  • Estimate owner economics through cash generation, ROIC, and reinvestment runway.
  • Audit management integrity, governance, and capital allocation rationality.
  • Compare intrinsic value to the market price with a real margin of safety.
  • Stress-test the financial fortress before accepting long-term ownership risk.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Superintelligence The Anthropologist Framework on Gemini 3.8 Flash Model

Superintelligence AI advisor icon

Superintelligence AI · The Anthropologist Framework

Gemini 3.8 Flash AI Researcher Web Search Used

5 Year Rating

Buy

5 Year Price Return

+81.0%

Incl. net dividends

+135.8%

Framework Description & Key Record Dates

Investment Framework

The Anthropologist Framework: Civilizational Compute Framework

Analysis Framework Description: The Anthropologist observes the financial system from above human emotion and asks whether an asset is biologically anchored, thermodynamically improving, informationally central, civilizationally aligned, and resilient to AI/quantum/space displacement.

  • Score biological demand anchoring: what human or civilizational need does the asset serve?
  • Measure thermodynamic efficiency and whether the asset reduces waste or increases throughput.
  • Map information network position, density, and dependency within the broader system.
  • Assess long-arc alignment with technological, demographic, and infrastructure evolution.
  • Estimate displacement risk from superior substitutes and frontier-tech transitions across AI, quantum, and space.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Universal Investor The Polymath Framework on Gemini 3.8 Flash Model

Universal Investor AI advisor icon

Universal Investor AI · The Polymath Framework

Gemini 3.8 Flash AI Thinker Web Search Not Used

5 Year Rating

Buy

5 Year Price Return

+79.1%

Incl. net dividends

+133.3%

Framework Description & Key Record Dates

Investment Framework

The Polymath Framework: Eight-Lens Investment Analysis Framework

Analysis Framework Description: Select the lenses with the greatest explanatory power, resolve their disagreements across horizons, and connect the evidence to a consistent thesis, scenario path, and verdict.

  • Ownership and value: examine economic rights, competitive advantage, capital allocation, and the price paid.
  • Regimes and constraints: connect credit, liquidity, policy, demand, and physical bottlenecks to the asset.
  • Innovation and adaptation: test adoption economics, AI and robotics exposure, substitution, and value capture.
  • Forensics and incentives: reconcile accounting, cash conversion, dilution, governance, and missing evidence.
  • Expectations and reflexivity: distinguish changes in fundamentals from changes in narratives and valuation.
  • Probabilities and resilience: use base rates, competing scenarios, catalysts, and the capacity to survive the wait.
  • Power and the rules of the game: assess political interests, regulatory influence, protection, and dependency.
  • Industry structure and consolidation: identify pricing power, chokepoints, alliances, and the economics of integration.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Thinker
Web Search Not Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Sherlock Holmes The Whistleblower Framework on Gemini 3.8 Flash Model

Sherlock Holmes AI advisor icon

Sherlock Holmes AI · The Whistleblower Framework

Gemini 3.8 Flash AI Researcher Web Search Not Used

5 Year Rating

Buy

5 Year Price Return

+54.5%

Incl. net dividends

+101.3%

Framework Description & Key Record Dates

Investment Framework

The Whistleblower Framework: Forensic Deduction Framework

Analysis Framework Description: The Whistleblower turns analysis into a case file: what is claimed, what evidence must exist if it is true, what evidence is missing, and what verdict follows from the exhibits.

  • Define the theory of the case behind the market narrative.
  • List the evidence that should exist if management or market claims are true.
  • Inspect filings, footnotes, revenue quality, related parties, and omitted metrics.
  • Stress-test contradictions between narrative, numbers, incentives, and behavior.
  • Deliver a clear case-file verdict rather than vague suspicion.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Not Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Superintelligence The Anthropologist Framework on Gemini 3.8 Flash Model

Superintelligence AI advisor icon

Superintelligence AI · The Anthropologist Framework

Gemini 3.8 Flash AI Thinker Web Search Not Used

5 Year Rating

Buy

5 Year Price Return

+29.0%

Incl. net dividends

+68.1%

Framework Description & Key Record Dates

Investment Framework

The Anthropologist Framework: Civilizational Compute Framework

Analysis Framework Description: The Anthropologist observes the financial system from above human emotion and asks whether an asset is biologically anchored, thermodynamically improving, informationally central, civilizationally aligned, and resilient to AI/quantum/space displacement.

  • Score biological demand anchoring: what human or civilizational need does the asset serve?
  • Measure thermodynamic efficiency and whether the asset reduces waste or increases throughput.
  • Map information network position, density, and dependency within the broader system.
  • Assess long-arc alignment with technological, demographic, and infrastructure evolution.
  • Estimate displacement risk from superior substitutes and frontier-tech transitions across AI, quantum, and space.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Thinker
Web Search Not Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Carrefour Stock Analysis & Forecast — Elon Musk The Visionary Framework on Gemini 3.8 Flash Model

Elon Musk AI advisor icon

Elon Musk AI · The Visionary Framework

Gemini 3.8 Flash AI Researcher Web Search Used

5 Year Rating

Neutral

5 Year Price Return

+19.0%

Incl. net dividends

+55.1%

Framework Description & Key Record Dates

Investment Framework

The Visionary Framework: Paradigm Shift Framework

Analysis Framework Description: The Visionary asks whether the asset is building the future or clinging to the past, then validates physics, S-curve timing, execution velocity, and a forced AI/quantum/space disruption verdict.

  • Start from first-principles feasibility instead of consensus market extrapolation.
  • Run a mandatory frontier-tech disruption test for AI, quantum, and space exposure.
  • Estimate where the asset sits on an S-curve: early, inflecting, maturing, or saturating.
  • Model future TAM from deployment constraints, infrastructure, and adoption friction.
  • Grade execution velocity through iteration speed, talent density, and learning loops.
  • Separate real paradigm shifts from narratives that only sound futuristic.
Full framework methodology
Model Producer:
Google
Model Version:
Gemini 3.8 Flash
Mode Used:
Researcher
Web Search Used
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Supplied Context Data, Prices & Events Cutoff:
Model knowledge cutoff:
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor. Dividend-inclusive returns assume 5.56% annual net yield, reinvested until the target.

Read full advisor report

Global Events Context Provided to the Model

Gemini 3.8 Flash has a published knowledge cutoff of Mar 1, 2026. Curated global-events context covering events through Sep 20, 2026 was supplied to supplement its built-in knowledge with important developments.

2025 Full-Year Global Market and World-Events Context

Download Archived Snapshot

Coverage 2025-01-01 to 2025-12-31 · Knowledge cutoff 2025-12-31

This full-year context package covers the principal geopolitical, economic, monetary-policy, technology, trade, energy, and institutional developments that shaped global markets during 2025. It gives the forecasting model a chronological account of major world events together with their likely transmission into growth, inflation, interest rates, supply chains, commodities, currencies, public markets, and sector-level investment conditions.

Archived context covering 2025-01-01 to 2025-12-31. Its recorded scope includes technology and capital cycle; trade and industrial policy; monetary policy. Selected highlights reflect the analysis cutoff, not current world conditions.

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90.8K bytes
Words
13.3K words
Characters
90.8K characters
Est. tokens (characters ÷ 4)
22.7K tokens

The package also includes monthly and quarterly macroeconomic and cross-asset reference tables spanning US and international growth, central-bank policy, sovereign yields, major equity indices, foreign exchange, energy, industrial and precious metals, and digital assets. Quarterly and full-year high-impact summaries are integrated; monthly quantitative series remain working values pending final audit, and that qualification is part of the preserved context.

Selected highlights from the archived 2025 Full-Year Global Market and World-Events Context snapshot
Selected highlights from this archived snapshotDateStatus
DeepSeek shock and AI economics reset2025-01-27OPEN ENDED TREND
US tariff regime escalation and trade-system rupture2025-02-01ACTIVE POLICY REGIME
Federal Reserve easing cycle after a prolonged hold2025-09-17ACTIVE POLICY REGIME

2026 Year-to-Date Global Market and World-Events Context Through September 20

Download Archived Snapshot

Coverage 2026-01-01 to 2026-09-20 · Knowledge cutoff 2026-09-20

January 1-September 20, 2026: monetary tightening, energy security, trade restrictions, AI financing and divergent growth; five leading market themes.

Archived context covering 2026-01-01 to 2026-09-20. Its recorded scope includes monetary policy and rates; geopolitics energy and shipping; trade and industrial policy. Selected highlights reflect the analysis cutoff, not current world conditions.

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84.8K bytes
Words
12.4K words
Characters
84.8K characters
Est. tokens (characters ÷ 4)
21.2K tokens

Fed raised rates to 3.75%-4.00%; ECB hike is in force and BOJ increase starts September 24. Markets through September 18, bitcoin through September 19.

Selected highlights from the archived 2026 Year-to-Date Global Market and World-Events Context Through September 20 snapshot
Selected highlights from this archived snapshotDateStatus
Renewed monetary tightening amid persistent inflation2026-01-30ACTIVE POLICY REGIME
Iran/Hormuz conflict and wider energy-security disruption2026-02-28ONGOING
Tariff legal reset and strategic supply restrictions2026-02-20ACTIVE POLICY REGIME

Representative Sources of the Context File

And more sources from the retained context package.

Fundamental Context Provided to the Model

Time range: Annual fiscal periods: 2014-12-31–2025-12-31, 12 periods; Quarterly fiscal periods: 2023-12-31–2026-06-30, 6 periods.

Currencies cited: EUR, USD (quote EUR; primary reporting EUR; converted/valuation USD).

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Income statement

8 fields

depreciationAndAmortization · ebit · ebitda · grossProfit · +4 more fields

Balance sheet

12 fields

cash · commonStockSharesOutstanding · longTermDebt · netDebt · +8 more fields

Cash flow

5 fields

capitalExpenditures · dividendsPaid · freeCashFlow · salePurchaseOfStock · +1 more field

Research datasets created by iPulse AI and published by Future Edge Group FZE. Use is subject to the iPulse AI Terms of Service and applicable source rights.