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IOT.NYSE
Samsara
Information Technology · Application Software
Connected operations cloud company providing IoT telemetry, fleet management, safety, and workflow software for physical operations.MoreShow less
HQ: United StatesListed: United States

Samsara (IOT) Stock Analysis: Compare AI Forecasts & Scenarios

Updated 2 Nov 2026Deep Analysis 21 Sept 2026

25 min read
Approved byRusslan Ramdowar, Editor-in-Chief

14 advisor opinions Base Subscription Required

Samsara AI Forecast Summary

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1 Year Ratings & Returns ()

Ratings: 8 Sell All 4 Neutral 2 Buy

Returns range: from -19.1% to +8.6%

5 Year Ratings & Returns ()

Ratings: 2 Partial Sell 6 Neutral 5 Buy 1 Strong Buy

Returns range: from +5.3% to +80.8%

Calculated from End of Date $40.98

What do advisors disagree on

The primary disagreement across reports centers on starting valuation resilience versus terminal multiple compression. Growth-focused analyses argue that high gross margins and enterprise land-and-expand stickiness will enable free cash flow compounding to overwhelm high interest rates, sustaining a premium sales multiple. Conversely, value-oriented and forensic perspectives insist that paying thirteen times sales under five-percent discount rates guarantees pedestrian equity returns, especially given that GAAP net income relies on non-operating interest and persistent stock compensation dilution. Upcoming quarterly net new annual recurring revenue additions and free cash flow conversion margins will resolve this debate.

Compare all 14 opinions1 Year & 5 Year ratings, targets & returns · Sorted by 5 Year price return
AdvisorModelResearch1 Year5 YearFull Report
Target dateRatingPrice targetPrice returnTarget dateRatingPrice targetPrice return
J.P. Morgan AI The Titan FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedBuy$44.49+8.6%Strong Buy$74.10+80.8%Full report
Ray Dalio AI The Strategist FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedNeutral$43.59+6.4%Buy$72.67+77.3%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedBuy$44.51+8.6%Buy$61.52+50.1%Full report
Universal Investor AI The Polymath FrameworkClaude Opus 5Researcher Mode with Web Search UsedNeutral$43.07+5.1%Buy$58.79+43.5%Full report
Sherlock Holmes AI The Whistleblower FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedNeutral$42.81+4.5%Buy$58.68+43.2%Full report
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedNeutral$42.35+3.3%Buy$58.54+42.8%Full report
Universal Investor AI The Polymath FrameworkGPT-6 AstraResearcher Mode with Web Search UsedSell All$37.70-8.0%Neutral$58.09+41.8%Full report
Niccolo Machiavelli AI The Insider FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedSell All$39.45-3.7%Neutral$53.48+30.5%Full report
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledSell All$39.88-2.7%Neutral$50.97+24.4%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledSell All$34.92-14.8%Neutral$48.59+18.6%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedSell All$38.31-6.5%Neutral$48.50+18.3%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledSell All$37.16-9.3%Neutral$47.09+14.9%Full report
Elon Musk AI The Visionary FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedSell All$34.58-15.6%Partial Sell$45.59+11.2%Full report
Michael Burry AI The Vulture FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedSell All$33.14-19.1%Partial Sell$43.15+5.3%Full report
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.

Ratings use the shared volatility-adjusted calculation.

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.

Samsara 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 Not Used

5 Year Rating

Buy

5 Year Price Return

+43.5%

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 Not Used
Input Data:
Input records not available
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Model knowledge cutoff:
Supplied Context Data, Prices & Events Cutoff:
Not recorded
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.

Full advisor report Chart, analysis, and sources

Samsara: Historical Prices & Published Forecast

Analyzed by The Polymath Framework using the Opus 5 model

Samsara: Historical Prices & Published ForecastObserved 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 USD.4.2119.5534.8950.2365.57Dec 2021May 2024Nov 2026Apr 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 USD.

Samsara: Quarterly Price Forecasts & Scenarios

Analyzed by The Polymath Framework using the Opus 5 model

Price targets, price returns and complete scenario reasoning

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

QuarterForecastPrice returnScenario
$40.7+3.0%

The Q3 FY2027 print lands inside this window against a soft $514-516 million guide. A modest beat plus confirmed GAAP profitability lifts the price, but a 5% ten-year yield caps the rerating.

$38.7-2.1%

The FY2028 guide arrives with growth stepping down toward 22% and free-cash-flow margin still pressured by device costs. Investors punish the cash-conversion gap while another Fed hike keeps duration assets defensive.

$41.0+3.7%

Q1 FY2028 shows inventory normalization beginning and net new ARR still growing. Evidence that supply-chain pressure was cyclical restores confidence in the margin ramp, driving a recovery from the guidance de-rating.

$43.1+8.9%

Energy disruption easing and softer core inflation open the door to the first rate cut being priced. High-duration software multiples expand; Samsara adds a second quarter of AI attach disclosure.

$44.8+13.3%

Enterprise concentration keeps compounding as million-dollar accounts approach a third of ARR. Non-GAAP operating margin crosses the mid-twenties, converting the growth story into a visible earnings story for generalist buyers.

$43.5+9.9%

A likely Motive IPO establishes a competing public comparable and funds mid-market discounting. FY2029 guidance near 20% growth reminds investors that deceleration, while gradual, is structural and multiple-compressing.

$45.6+15.4%

Free-cash-flow margin recovers above the fiscal 2026 benchmark as tariffed device inventory clears and pricing passes through. Cash proof of operating leverage is the specific catalyst for this quarter's gain.

$47.4+20.0%

Operational AI monetization begins appearing in expansion ARR rather than engagement metrics. Investors reward evidence that the proprietary telemetry dataset converts into priced software rather than free feature bundling.

$48.9+23.6%

Growth settles near 20% with GAAP earnings now genuinely operating-driven rather than interest-driven. The multiple continues drifting toward ten times sales, so price gains trail revenue growth.

$49.9+26.0%

FY2030 guidance implies high-teens growth, the first year Samsara is priced as a maturing compounder. Margin expansion and buyback-free dilution of roughly 2% split the incremental value.

$51.8+31.1%

International expansion into Europe and Mexico offsets North American mid-market pricing pressure. Geographic diversification lengthens the growth runway, supporting the multiple against the natural SaaS decay curve.

$49.8+25.8%

A cyclical freight and construction slowdown compresses customer fleet counts, trimming net new ARR below expectations. Seat-based exposure to physical-industry employment shows itself as the thesis's overlooked cyclicality.

$51.8+30.9%

Net revenue retention holds through the freight cycle because multi-product attach makes Samsara operationally embedded rather than discretionary. Resilience proof recovers the prior quarter's loss and firms the multiple.

$53.3+34.8%

FY2031 guidance pairs mid-to-high-teens growth with a non-GAAP operating margin near thirty percent. Earnings-per-share compounding now drives returns more than revenue multiple, a healthier but slower engine.

$54.4+37.5%

Free cash flow approaching twenty percent of revenue opens genuine capital-allocation choices. Modest buyback capacity begins offsetting stock-compensation dilution, incrementally improving per-share economics.

$56.0+41.6%

AI agent products contribute a disclosed ARR line, extending the attach ladder into workflow automation. Incremental durability evidence partially offsets continued gradual compression toward nine times sales.

$57.1+44.5%

Revenue passes roughly four billion dollars with growth in the mid-teens. The stock trades increasingly on free-cash-flow yield rather than sales multiple, dampening both upside and downside amplitude.

$55.4+40.1%

FY2032 guidance confirms growth settling near fifteen percent, triggering a final leg of multiple normalization as growth-mandate holders rotate toward faster-compounding alternatives elsewhere.

$57.1+44.3%

Consolidation speculation in industrial software supports valuation, as scaled telemetry assets attract strategic interest. Underlying earnings growth of roughly twenty percent now carries most of the return.

$58.8+48.7%

The horizon closes with Samsara a profitable, cash-generative category leader at roughly nine times sales. Returns come from compounding earnings net of dilution rather than any further rerating.

Show remaining 18 quarters

All 20 quarters are displayed in the table above.

Samsara: Investment Thesis Base Case

Analyzed by The Polymath Framework using the Opus 5 model

The central tension is arithmetic against operations. Operationally Samsara is winning: 30% ARR growth at a $2.1 billion base, a fourth straight GAAP-profitable quarter, 96% multi-product attach in large accounts. Financially, the market is paying 12.6x trailing sales at a 5% ten-year yield, and the September round trip from 45 back to 39.50 showed the discount rate overruling a clean beat. Base case: growth decays from 26% toward the high teens, non-GAAP operating margin grinds above 25%, and the sales multiple compresses toward 8-9x. Compounding revenue outruns compressing multiples, but only modestly per share after dilution.

  • Revenue near $4.5-4.7 billion by FY2032 assumes 26% decaying to roughly 15% growth.
  • Nine times forward sales on that base implies enterprise value approaching $40 billion.
  • Roughly 650 million diluted shares then yields a high-fifties price, near 8% annualized.

Samsara: Scenarios & Signals

Analyzed by The Polymath Framework using the Opus 5 model

Bull Case

The bull case activates when two clocks align: AI agents convert engagement into contracted ARR just as inflation breaks and the Fed cuts. Sustained mid-twenties growth past FY2029 reframes Samsara as a durable compounder rather than a decelerating telematics vendor, which halts multiple compression; simultaneously, a falling discount rate expands what investors pay for distant cash flows. Free cash flow recovers above 15% of revenue as the inventory build clears, validating the margin ramp. Both together support a price near ninety.

Bear Case

The bear case begins the quarter net new ARR falls year over year. A newly public Motive, armed with IPO capital, discounts into the mid-market that the lost ITC case left unprotected; growth breaks below 18%, and the market discovers that reported profit was largely interest income rather than operating leverage. Persistent tariff and mineral costs keep cash conversion depressed, removing the offsetting proof. Multiple resets toward 5-6x sales, halving the share price despite rising revenue.

Behavioral Alpha Signals

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

Expected Volatility Regime: High

Greed and Fear Index: -12 / 100 (Fear)

-12

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)

Consensus treats durability as settled and price as the only question. The street raised targets to $48-55 after the Q2 beat , yet the stock round-tripped to 39.50 . The anchoring bias is the February 2025 closing high of 60.96 : bulls call 12.6x sales cheap versus memory, ignoring that a 5% ten-year yield redefines fair value for pure-duration software.

What Crowds Get Wrong? (Alpha/Value Gap)

Mild underpricing, but the edge is narrower than bulls claim. The overlooked evidence is forensic: trailing net income of $90.6 million exceeds trailing operating income of $19.4 million, meaning reported profitability is substantially interest on the cash pile, not operations. The crowd extrapolates a GAAP earnings inflection that rates giveth and could taketh away. Offsetting that, the market underestimates how rare sustained 30% ARR growth at a $2.1 billion base is, and pays only 11-12x forward sales for it.

When will Value Gap Repricing Happen? (Repricing Catalyst)

The FY2028 guidance print in early 2027 is the hinge. A guide above 22% revenue growth with free-cash-flow margin recovering would prove the inventory build was cyclical, not structural. First observable sign of repricing: net new ARR growing year over year alongside sequential gross-margin expansion.

How is Asset Influenced by Macro Regime?

The macro wind is in its face through 2027. Two channels dominate: a 5% ten-year yield compresses the multiple on an asset whose value is almost entirely terminal, while active Section 301 duties and rare-earth friction inflate device costs. Demand is comparatively insulated, since fuel and labor inflation strengthen the payback case.

Samsara: Positive & Negative Factors, Risks & Opportunities

Analyzed by The Polymath Framework using the Opus 5 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.

Scroll to view all columns

Top Drivers / Tailwinds with asset-specific estimated impacts and thesis rationale
Driver / TailwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Thirty Percent ARR Growth AT TWO BillionCompetitive Positioning+72%+160%Ending ARR reached $2.125 billion, up 30% year over year for a third consecutive quarter, with net new ARR of $134.1 million . The SaaS base rate says growth decays five to eight points annually past $1 billion ARR; Samsara has defied that, corroborated by a record 242 additions above $100,000 ARR and $1 million-plus accounts growing over 50% . Multi-product attach at 96% of large customers sustains it into FY2029 before naturally decaying.
THE Operating Leverage Flywheel FinallyOperational Efficiency+34%+125%Non-GAAP operating margin expanded to 21% from 15%, and Q2 FY2027 delivered a fourth straight GAAP-profitable quarter with net income of $16.2 million . The mechanism is disciplined opex: research and development grew 14.97% in FY2026 against 29.6% revenue growth, so each incremental subscription dollar drops further. Guidance for 21% full-year non-GAAP margin and GAAP profitability makes this the most reliable earnings lever through FY2029.
Operational AI AS THE NEXT Attach LayerInnovation And Product+26%+42%Management reports adoption of the newest AI features up more than fourfold in two months, a leading indicator for expansion ARR . The causal chain matters: Samsara's hardware attach generates proprietary video and telemetry that competitors cannot replicate, which makes AI agents a defensible upsell into accounts already buying two or more products. Monetization is unaudited today, so credit accrues gradually across FY2028 to FY2031 rather than immediately.
Labor Scarcity Funds Physical Industry DSector And Industry+17%+24%Management frames customers as "constrained by worker capacity" , and that constraint is the budget source. Fleet, construction and utility operators facing wage inflation and driver shortages treat telematics as a labor-substitution purchase rather than discretionary software, which is why bookings held through the 2026 energy shock. Persistent fuel costs, with Brent at $103.87 in September 2026, strengthen the fuel-and-safety payback case rather than weakening it.
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.

Scroll to view all columns

Top Frictions / Headwinds with asset-specific estimated impacts and thesis rationale
Friction / HeadwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Duration TAX ON A Terminal Value AssetMacroeconomic And Macrofinancial-52%+0.0%Here is the decisive evidence chain: the stock spiked above 45 on a clean beat, then round-tripped to 39.50 by September 18 despite street targets moving to $48-55 . Fundamentals improved; the discount rate moved against them, with the Fed at 3.75%-4.00% and the 10-year near 5.0%. At 12.6x trailing sales and roughly 1.1% free-cash-flow yield, compression toward 8-9x sales is the base-rate outcome.
Legal MOAT LOST MID Market ExposedCompetitive Positioning-16%-21%Samsara won $30.3 million in arbitration over false advertising, but the ITC cleared Motive of infringement, invalidated or cleared eight of nine asserted claims and terminated the investigation . The exclusion lever is gone, so the contested mid-market becomes a pricing contest against a $500 million-ARR rival preparing to go public. Expect gross-margin and net-new-ARR pressure at the low end from FY2028 onward.
Hardware Attach EATS THE CASH FLOWRegulatory-13%-16%Management now guides free-cash-flow margin approximately 100 basis points below fiscal 2026, blaming device purchases, proactive inventory builds and elevated supply-chain costs . Every subscription drags a gateway and dashcam through a tariffed, mineral-constrained channel: Section 301 replacement duties are active and Chinese rare-earth shipment friction persists. "Temporary" is a management characterization, not a verified fact; if it survives into FY2028, the margin-ramp thesis loses its cash proof.
NON GAAP Optics GAAP RealityManagement And Governance-11%-9.0%Q2 non-GAAP EPS of $0.20 against GAAP $0.03 is roughly an 85% haircut, and stock-based compensation does most of that work . Trailing net buyback yield is negative 0.07%, so repurchases merely offset withholding rather than shrinking the 590 million share count. Modelling roughly 2% annual net dilution, per-share value grows visibly slower than enterprise value across the full horizon.

Risks & Opportunities

Top Risks / Downside Scenarios

Lower-probability downside scenarios outside the base-case forecast.

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How to understand these AI forecasts

How does an AI-generated forecast for Samsara 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 Samsara 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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What do the individual AI forecasts for Samsara represent?

Each report presents one AI advisor configuration's analysis of Samsara, 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 Samsara. 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 Samsara?

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.

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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 Samsara 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.

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