AI Consensus Investment Thesis
GS: The Goldman Sachs Group Stock Price, Analysis & Forecast: 1 Year and 5 Year Targets
The Goldman Sachs Group: 1-Year and 5-Year Forecast Outlook and Rating
The Goldman Sachs Group (GS) has an immediate Buy & Keep consensus AI recommendation, based on 14 AI analysts.
The 1-year target is $950 for , with +7.37% expected return (+8.76% including net dividends) and a BUY rating.
The 5-year target is $1,267 for , with +43.19% expected return (+53.49% including net dividends) and a BUY rating.
Latest available market price: USD 885, as of 20 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 1.42%. As of 2026-10-20.
Gross TTM: 2.03% · Two-year annualized gross: 1.75%.
Tax withholding assumption: 30% (US). One-off special payments are excluded.
Original published assumption: 1.8% per year.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
Targets retain their original publication dates. Returns use the dated market close and the time remaining to each fixed target date. Current ratings also require fresh quotes and analysis, with more than 90 days remaining. Past targets have no forward return. Eligibility checked .
The Goldman Sachs Group Flagship Insight
Peak Underwriting Windfalls Meet Balance Sheet Reality as Valuation Normalization Looming
Consensus reflects sharp divergence between euphoric peak-cycle trading expectations and mid-cycle multiple discipline. Primary drivers include global advisory hegemony and aggressive share count cannibalization, counterbalanced by elevated wholesale funding costs and historical valuation multiple compression toward sustainable mid-cycle return on equity levels.
How were the Investment Thesis and Forecasts created?
14 AI advisors, guided by 9 analytical frameworks, contribute to the deep analysis by iPulse AI Engine.
Universal Investor (Polymath)
Superintelligence (Anthropologist)
Sherlock Holmes (Whistleblower)
Warren Buffett (Value Purist)
Machiavelli (Insider)
J.P. Morgan (Titan)
Michael Burry (Vulture)
Ray Dalio (Strategist)
Elon Musk (Visionary)
Ran across these frontier AI models
Google Gemini 3.8 Flash
Anthropic Claude Opus 5
OpenAI GPT-6 Astra
Latest published deep-analysis batch. Audit published forecasts in full transparency
The Goldman Sachs Group: forecast questions
What is The Goldman Sachs Group (GS)'s 1-year price forecast?
The Goldman Sachs Group's 1-year target is $950 for Sept 2027. The current AI rating is BUY. The expected return from the recorded close is +7.37%, or +8.76% modeled return including net dividends. Latest available market price: USD 885, as of 20 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is The Goldman Sachs Group (GS)'s 5-year price forecast?
The Goldman Sachs Group's 5-year target is $1,267 for Sept 2031. The current AI rating is BUY. The expected return from the recorded close is +43.19%, or +53.49% modeled return including net dividends. Latest available market price: USD 885, as of 20 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is the return basis?
Latest available market price: USD 885, as of 20 Oct 2026. These are model projections, not guaranteed future prices.
How can I compare the AI opinions and audit past The Goldman Sachs Group forecasts?
14 AI analysts contribute to this publication. AI Opinions shows individual advisor forecasts and reasoning. Forecast History preserves earlier published batches; their figures describe their original publication, not today's outlook.
How does an AI-generated forecast for The Goldman Sachs Group 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 The Goldman Sachs Group 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.
The Goldman Sachs Group: Investment Thesis Summary
Dotted terms link to the glossary; hover or focus for a preview. Browse technical terms
If you invest $10,000 in The Goldman Sachs Group at the latest market close (20 Oct 2026): $15,349 by Sept 2031 versus $13,751 for S&P 500 benchmark.
Returns use the same dated market close, fixed targets and remaining dividend period as the forecast table.
* Return is calculated incl. 1.4% net dividend yield for The Goldman Sachs Group.
Goldman Sachs presents an exceptional institutional franchise navigating an unsustainable peak-cycle valuation plateau. Trailing annualized profitability reaching twenty-one billion dollars in net income and twenty-three percent return on equity reflects the confluence of historic technology initial public offerings and volatility-fueled trading spreads. However, trading at 2.34 to 2.56 times book value commands an aggressive premium that assumes peak-cycle capital markets velocity can compound uninterrupted within a four percent benchmark yield environment. As transactional volume normalizes toward historical mid-cycle run-rates, non-compensation technology outlays and wholesale liability expenses will prevent permanent margin expansion, leaving share retirements as the primary driver of per-share compounding.
Key insights
- Sustained asset and wealth management expansion toward 750 billion dollars in alternatives provides durable baseload fees that elevate through-cycle returns.
- Continuous float reduction retiring three to four percent of common shares annually creates a potent mechanical floor under per-share earnings.
- Multiple contraction toward historical averages will absorb operational profit growth, making capital distributions rather than multiple expansion the core return engine.
The Goldman Sachs Group: 5 Year Consensus Forecast
20 quarterly price targets, returns and rationale, with advisor range and benchmark
Forward returns are updated using the latest market close price of USD 885, as of 20 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 1.42%. As of 2026-10-20.
Gross TTM: 2.03% · Two-year annualized gross: 1.75%.
Tax withholding assumption: 30% (US). One-off special payments are excluded.
Original published assumption: 1.8% per year.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
The consensus target follows an expert-weighted price path synthesized from 14 AI advisor opinions. See Opinion weights and rationale for the exact allocation and reasoning.
Forecast methodology and reference values
Published targets are anchored on 18 Sept 2026 at USD 942. Original quarter-to-quarter target changes are retained. Forward returns use the remaining time to each fixed target date.
The pessimistic and optimistic advisor base cases are the lowest and highest published advisor base-case targets for each quarter. The advisor at either extreme can change between quarters. Benchmark values are in USD.
Scroll the table horizontally to read every column.
| Quarter | Evidence-Weighted Consensus Price Path | Individual Advisor Range & Reference Forecasts | ||||||
|---|---|---|---|---|---|---|---|---|
| Consensus target (USD) | Forecast quarter-to-quarter price change | Forward price return | Forward return incl. net dividends | Forecast rationale | Pessimistic Advisor Base Case (USD) | Optimistic Advisor Base Case (USD) | S&P 500 benchmark (USD) | |
| $952 | +1.02% | +7.59% | +7.84% | Landmark technology offerings and fourth-quarter corporate financing completions support revenue, but sequential trading moderation and non-compensation expenses exceeding five hundred million dollars contain equity multiple expansion. | $895 | $999 | $750 | |
| $955 | +0.37% | +7.93% | +8.56% | Higher benchmark policy rates and seasonal debt underwriting lulls dampen leveraged buyout fee realization, prompting modest valuation multiple trimming despite steady early-year client macro hedging volumes. | $850 | $1,029 | $736 | |
| $960 | +0.54% | +8.50% | +9.51% | Resilient cross-border advisory closings and expanding prime brokerage financing balances stabilize net margins, allowing disciplined quarterly share buybacks to absorb secondary equity market selling pressure. | $808 | $1,080 | $743 | |
| $950 | -1.04% | +7.37% | +8.76% | Summer capital markets deal consolidation and finalized regulatory capital requirements restrict discretionary trading balance-sheet velocity, compressing forward price-to-book valuation multiples toward normalized historical ranges. | $783 | $1,113 | $755 | |
| $983 | +3.48% | +11.10% | +12.94% | Year-end strategic restructuring completions and strong alternatives management fee realizations drive an operational earnings beat, supported by aggressive treasury share repurchases that firm equity support. | $799 | $1,157 | $776 | |
| $993 | +0.95% | +12.23% | +14.49% | Client macro rates repositioning sustains fixed-income market-making volumes, though private credit competition in corporate syndication and sticky enterprise technology expenses restrict sequential net margin expansion. | $767 | $1,169 | $787 | |
| $1,019 | +2.65% | +15.17% | +17.90% | Expanding assets under supervision and structural growth in alternative private wealth mandates elevate recurring management fees, delivering positive operating leverage and driving moderate share price appreciation. | $775 | $1,192 | $803 | |
| $1,022 | +0.25% | +15.51% | +18.67% | Political election-cycle caution and elevated sovereign refinancing yields temporarily delay strategic corporate acquisitions, prompting routine trading consolidation across primary institutional dealer equity valuations. | $798 | $1,240 | $812 | |
| $1,050 | +2.77% | +18.67% | +22.35% | Post-election policy clarity unlocks pent-up corporate M&A backlogs, while substantial year-end dividend declarations and share retirements mechanically concentrate per-share intrinsic value into the fiscal close. | $814 | $1,302 | $839 | |
| $1,071 | +2.04% | +21.04% | +25.24% | Refinancing activity across corporate debt maturities accelerates debt underwriting revenue, with expanding algorithmic workflow efficiencies helping maintain firmwide operating efficiency ratios below historical averages. | $804 | $1,354 | $851 | |
| $1,096 | +2.27% | +23.87% | +28.62% | Multi-year float reduction drives tangible book value per share higher, while steady secondary equity syndications and alternative credit distributions support consistent, low-volatility earnings compounding. | $836 | $1,367 | $872 | |
| $1,091 | -0.40% | +23.30% | +28.49% | Mid-cycle credit spread adjustments and seasonal underwriting lulls create modest earnings friction, though institutional hedging demand across volatile commodities desks prevents significant valuation drawdowns. | $830 | $1,408 | $886 | |
| $1,128 | +3.34% | +27.48% | +33.31% | Realized performance fees across maturing alternative fund vintages combine with year-end corporate advisory completions to deliver strong quarterly net earnings, lifting investor sentiment into year-end. | $855 | $1,465 | $910 | |
| $1,152 | +2.18% | +30.20% | +36.63% | Scaled automated underwriting architecture and enterprise risk platforms lower operating overhead, translating stable wholesale capital markets deal flow into durable, double-digit return on tangible equity. | $889 | $1,508 | $916 | |
| $1,173 | +1.79% | +32.57% | +39.61% | Global industrial recapitalizations and energy transition financings expand underwriting syndicates, while steady wealth management annuity inflows protect the franchise against episodic trading volume contractions. | $885 | $1,539 | $937 | |
| $1,176 | +0.25% | +32.91% | +40.47% | Regulatory supervisory stress tests confirm solid capital cushions, maintaining steady capital returns via repurchases even as late-cycle wholesale corporate borrowing velocities experience minor moderation. | $859 | $1,585 | $947 | |
| $1,208 | +2.74% | +36.53% | +44.80% | Fee-paying alternative assets approaching strategic scale targets generates record recurring revenue, providing high-margin valuation support that cushions cyclical pauses in speculative corporate finance. | $876 | $1,632 | $970 | |
| $1,230 | +1.80% | +39.01% | +47.95% | First-quarter macro trading flow and prime brokerage financing spreads capture persistent global interest-rate dispersion, sustaining strong return on equity and reinforcing institutional investor confidence. | $902 | $1,665 | $980 | |
| $1,249 | +1.58% | +41.16% | +50.77% | Cumulative retirements permanently shrink common shares outstanding toward long-term targets, compounding per-share owner earnings power across both institutional banking and scalable wealth divisions. | $866 | $1,682 | $1,000 | |
| $1,267 | +1.40% | +43.19% | +53.49% | The multi-year forecast cycle concludes with the franchise operating at sustainable mid-cycle profitability, anchored by recurring fee streams, de-risked balance sheets, and an unassailable capital markets moat. | $858 | $1,715 | $1,012 | |
Show remaining 18 quartersShow first 2 quarters only
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The Goldman Sachs Group Stock Analysis & Scenarios Deep Dive
The Goldman Sachs Group: Alpha Gap & Repricing Catalysts
Market Narrative
What does the market currently expect? Prevailing market consensus views the firm as an invincible financial tollbooth positioned at the nexus of the artificial intelligence financing supercycle. Anchored by record second-quarter earnings and landmark tech listings, sell-side commentary treats peak return on equity as a permanent structural plateau, assuming double-digit compounding will continue without cyclical interruption.
Alpha Gap
What is the biggest difference between market expectations and our AI forecasts? The crowd overestimates earnings durability, driving cyclical share overpricing. The market mistreats episodic underwriting windfalls and volatility trading spreads as permanent baselines while ignoring that four percent policy rates impair private equity buyout velocity. Forensic examination reveals that paying over 2.3 times book value leaves zero margin of safety against inevitable deal volume normalization.
Repricing Catalyst
What could make the market recognize and close that gap? Consecutive quarterly earnings prints across 2027 revealing softer trading revenues and escalating technology expenditures will catalyze market repricing. As advisory backlogs clear without rapid replacement, compression in debt underwriting spreads will force consensus analysts to downgrade forward return on equity estimates toward sustainable mid-cycle levels.
The Goldman Sachs Group: Sentiment and Timing
What do sentiment, volatility, and the market-recognition cycle suggest about the thesis timing?
- Greed and Fear Sentiment
- Greed
- Volatility Regime
- Moderate
- Convergence Cycle Position
- Overshoot
Sentiment divides between cyclical bulls citing peak return on equity and value skeptics warning of valuation overshoot. The core tension centers on whether structural asset management fees can prevent multiple contraction when market-making volumes mean-revert.
Macro Regime Fit
Does the current market environment support the thesis? The prevailing macro regime of restrictive four percent central bank rates and sticky inflation delivers a conflicted setup. While elevated rates stimulate trading volatility and widen financing spreads, they simultaneously depress corporate debt syndication and sponsor buyout exits, creating a net cyclical headwind for investment banking balance sheets.
Advisor Disagreement
What do our AI Advisors disagree about most? The foremost disagreement across reports concerns the structural durability of return on equity. Bullish frameworks argue that expanding alternatives to 750 billion dollars alongside AI-driven workflow efficiencies permanently elevates sustainable return on tangible common equity to eighteen percent. Conversely, value and forensic perspectives demonstrate that recent earnings were inflated by clustered mega-IPOs and trading spread windfalls, arguing mid-cycle profitability centers near twelve to fourteen percent. The critical metric to monitor is whether quarterly investment banking fees can hold above three billion dollars as monetary tightening persists.
The Goldman Sachs Group: Critical Influencing Factors
Near-certain positive forcesTop Drivers & Tailwinds
Near-certain forces that support the investment thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.
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| Driver / Tailwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| Global advisory and underwriting hegemony | Competitive Positioning | +20% | +24% | Goldman Sachs commands undisputed global leadership in announced merger advisory and equity capital markets underwriting. Structuring massive technology listings and corporate balance-sheet restructurings generates premier fee capture and high-margin client flow, sustaining double-digit return on tangible common equity across the forecast horizon. |
| Relentless share count float cannibalization | Capital Allocation | +16% | +14% | Surplus regulatory capital freed from discontinued retail banking operations powers massive share repurchases, deploying ten to sixteen billion dollars annually. Retiring three to four percent of outstanding common float per year mechanically compounds earnings per share, establishing an unshakeable floor under per-share intrinsic value. |
| Alternative asset and wealth expansion | Sector And Industry | +14% | +16% | Pivoting balance-sheet capital into scalable third-party alternatives has expanded supervised assets past four trillion dollars. Compounding recurring management and incentive fees in private credit, real estate, and infrastructure replaces erratic trading lumpiness with high-margin annuity revenues, supporting structural price-to-earnings multiple expansion. |
| Elevated macro dispersion trading harvest | Operational Efficiency | +12% | +15% | Persistent cross-asset volatility from central bank divergence and geopolitical dislocations fuels heavy institutional client hedging. Dominant prime brokerage and automated market-making capture wide bid-ask spreads across currencies, rates, and commodities, transforming systemic macro dispersion into highly profitable, recurring transactional cash flows. |
Near-certain negative forcesTop Frictions & Headwinds
Near-certain forces that could slow, cap, or damage the thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.
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| Friction / Headwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| Valuation multiple mean reversion drag | Competitive Positioning | -16% | -6.0% | Trading between 2.34 and 2.56 times book value leaves no margin for error, commanding a valuation multiple far above historical averages. As episodic capital markets windfalls normalize toward mid-cycle averages, valuation compression will act as persistent gravitational drag, absorbing operational earnings growth. |
| Restrictive monetary policy financing hurdles | Macroeconomic And Macrofinancial | -12% | -14% | Federal Reserve benchmark interest rates near four percent and elevated long-term sovereign bond yields raise wholesale borrowing costs. High debt service hurdles dampen private equity sponsor buyout velocity, compressing syndicated lending volumes and curbing high-margin leveraged debt arrangement fees across institutional syndicates. |
| Basel Endgame regulatory capital friction | Regulatory | -10% | -9.0% | Evolving Category I G-SIB regulatory frameworks enforce strict risk-weighted asset inflation and higher operational risk charges on large universal trading books. Mandatory capital buffers limit balance-sheet leverage, elevate compliance overhead, and restrict surplus liquidity otherwise deployable into accretive share repurchase tranches. |
| Technology overhead and compensation inflation | Operational Efficiency | -8.0% | -11% | Accelerating non-compensation spending on enterprise cloud, AI architecture, and cybersecurity increased expenses by over five hundred million dollars sequentially. Paired with intense Wall Street bidding wars to retain premier advisory and quantitative talent, fixed operating expenses compress operating leverage when market revenues cool. |
The Goldman Sachs Group: What Could Break or Accelerate the Thesis
Event Risk Score: Low 29/100Asset-level relative pressure from clustered consensus frictions and tail risks. This is not the probability or risk score of an individual force.Plausible downside scenariosTail Risks
Tail yet plausible downside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Systemic private credit contagion freeze | 25% | -28% | Prolonged high benchmark yields could trigger cascading debt defaults across opaque non-bank direct lending portfolios by late 2027. Liquidity freezes would force severe mark-to-market writedowns across loan warehouse lines and bridge facilities, halting corporate syndications and slashing investment banking profitability. |
| Major trading counterparty clearing collapse | 20% | -25% | Extreme geopolitical volatility or foreign exchange dislocations could trigger the sudden insolvency of a premier prime brokerage counterparty or hedge fund. Forced collateral liquidations during an acute liquidity seizure would generate multi-billion-dollar trading impairments, triggering regulatory scrutiny and immediate share repurchase suspensions. |
Plausible upside scenariosTail Opportunities
Tail yet plausible upside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Frontier technology mega listing supercycle | 32% | +26% | A rapid reopening of global public equity markets could unleash a historic wave of venture-backed artificial intelligence and sovereign compute listings between 2027 and 2028. If mega-listings execute consecutively, Goldman's top-tier syndication dominance would capture unprecedented underwriting fee windfalls, driving return on equity above twenty-two percent. |
| Comprehensive deregulatory capital buffer relaxation | 28% | +21% | A sweeping federal regulatory recalibration substantially diluting Basel III Endgame rules and relaxing Supplementary Leverage Ratios could liberate ten to fifteen billion dollars in surplus Common Equity Tier 1 capital. This freed balance-sheet capacity would immediately finance aggressive trading inventory expansion and accelerated mega-buybacks. |
Company Financial AnalysisThe Goldman Sachs Group: Earnings and Financials Analysis by AI
Financial figures available as of Sep 20, 2026. Only filings and source records available by this analysis date are included. View latest The Goldman Sachs Group financials here.
Earnings and financials
Goldman Sachs demonstrated explosive financial growth through mid-2026, generating twenty-one billion dollars in trailing net income. Second-quarter net profits jumped seventy-eight percent to 6.63 billion dollars, driven by record equities trading and landmark technology public offerings. Discontinuing retail consumer banking removed multi-billion-dollar credit losses, restoring core wholesale operating leverage. However, these stellar headline results reflect peak capital markets conditions rather than a permanently higher baseline. Sequential quarterly revenues remain volatile, while negative dealer cash flows simply mirror balance-sheet inventory expansion. True underlying earnings power sits closer to mid-cycle averages than recent quarterly records imply.
Revenue, earnings, and cash flow
The table compares up to five fiscal years of revenue, net income, and free cash flow available to this analysis.
| Fiscal year | Revenue | Net income | Free cash flow |
|---|---|---|---|
| 2025 | USD 125.1B | USD 17.2B | USD -47.2B |
| 2024 | USD 126.9B | USD 14.3B | USD -15.3B |
| 2023 | USD 108.4B | USD 8.5B | USD -14.9B |
| 2022 | USD 68.7B | USD 11.3B | USD 5B |
| 2021 | USD 65B | USD 21.6B | USD -3.7B |
Valuation context: historical P/E
The table compares up to five fiscal years of point-in-time valuation evidence available to this analysis.
| Fiscal year | P/E | Earnings basis | Currency basis | Ticker / reporting |
|---|---|---|---|---|
| 2025 | 16.3x | TTM | Native | USD / USD |
| 2024 | 13.2x | TTM | Native | USD / USD |
| 2023 | 15.7x | TTM | Native | USD / USD |
| 2022 | 10.9x | Annual | Native | USD / USD |
| 2021 | 6.2x | Annual | Native | USD / USD |
P/E uses historical market capitalization and earnings known at each period. Cross-currency observations are normalized to USD using point-in-time FX rates.
Profitability and margins
Profitability margins staged a remarkable resurgence, with operating margins widening to 17.5% in fiscal 2025 and trailing net margins approaching 18%. In peak quarters, annualized return on equity reached 23.5%, propelled by surging underwriting fees and active trading desks that outran fixed compensation expenses. While scaling asset management fees provides a higher floor, profitability remains tethered to market cycles. Wall Street compensation accruals consume roughly one-third of revenues, while technology depreciation adds fixed overhead. As extraordinary underwriting fees normalize toward mid-cycle averages, return on equity will naturally settle toward sustainable mid-teens levels.
The table compares up to five fiscal years of operating income and reported profitability margins.
| Fiscal year | Operating income | Operating margin | Net margin |
|---|---|---|---|
| 2025 | USD 21.9B | 17.5% | 13.7% |
| 2024 | USD 18.4B | 14.5% | 11.3% |
| 2023 | USD 10.7B | 9.9% | 7.9% |
| 2022 | USD 13.5B | 19.6% | 16.4% |
| 2021 | USD 27B | 41.6% | 33.3% |
Balance sheet and leverage
The balance sheet is an imposing 1.81 trillion dollar financial fortress supported by 125 billion dollars in common equity, reflecting roughly fourteen times accounting leverage. The firm maintains a strong Common Equity Tier 1 capital ratio of 12.9%, well above its 11.4% regulatory minimum requirement. This capital surplus provides robust protection against severe market stress while supporting generous dividends and buybacks. However, headline capital cushions must support client financing balances and acquisitions simultaneously. Wholesale funding dependence and private credit exposure require ongoing capital discipline, limiting repurchase flexibility if financial market conditions tighten.
The table compares up to five fiscal years of debt, liquidity, net cash or debt, and current-ratio evidence.
| Fiscal year | Total debt | Cash + short-term investments | Reported net cash / (debt) | Debt less (cash + short-term investments), calculated | Current ratio |
|---|---|---|---|---|---|
| 2025 | USD 609.5B | USD 624.5B | USD 445.3B net debt | USD -15B | N/M |
| 2024 | USD 616.9B | USD 921.8B | USD 434.8B net debt | USD -304.9B | N/M |
| 2023 | USD 583.1B | USD 924.9B | USD 341.6B net debt | USD -341.8B | N/M |
| 2022 | USD 434.5B | USD 722B | USD 192.7B net debt | USD -287.4B | N/M |
| 2021 | USD 487.8B | USD 778.7B | USD 226.7B net debt | USD -291B | N/M |
Reported net debt retains the source definition, which can deduct cash alone. Cash plus short-term investments is broader liquidity; the separately calculated column subtracts that full amount from total debt for the same fiscal period and currency. Reported net debt below zero is displayed as net cash. Current ratio is current assets divided by current liabilities and is marked not meaningful for financial institutions.
Capex and investment intensity
Unlike industrial manufacturers, physical capital expenditures consume just 1.65% of revenue, focusing strictly on data centers and trading systems. The firm's true capital deployment occurs on its balance sheet, where management has committed resources to third-party alternative assets aiming for 750 billion dollars by 2030. Nevertheless, operating technology spending is expanding rapidly, with non-compensation expenses jumping by over five hundred million dollars sequentially for artificial intelligence and cloud modernization. This ongoing investment protects market-making dominance against quantitative competitors, though it creates sticky overhead that cannot easily be cut during market downturns.
The table compares up to five fiscal years of capital expenditure and research-and-development investment.
| Fiscal year | Capital expenditure | R&D spend |
|---|---|---|
| 2025 | USD 2.1B | -- |
| 2024 | USD 2.1B | -- |
| 2023 | USD 2.3B | -- |
| 2022 | USD 3.7B | -- |
| 2021 | USD 4.7B | -- |
Behind the synthesisThe Goldman Sachs Group: How Each Individual AI Forecaster Opinion Shapes the Global Consensus
This publication’s recorded synthesis allocated voting influence across 14 advisor opinions. The weights and rationales below are retained from that synthesis.
The research consensus reveals an independently verified core pattern: the strategic retreat from consumer lending has successfully restored high operating leverage across wholesale banking and scaled third-party asset management above four trillion dollars. However, reports diverge sharply on valuation sustainability. Highly rated inputs demonstrate through SEC filings that paying over 2.3 times book value implies enduring twenty percent return on equity, an assumption contradicted by historical cyclicality, wholesale funding costs near four percent, and sequential non-compensation expense growth exceeding five hundred million dollars. Conversely, extreme contrarian calls for multiple deflation to book parity overlook that alternatives management fees and an annual four-percent share count reduction establish a durable per-share compounding floor. The allocation weights prioritize models that reconcile primary regulatory capital requirements and dealer balance-sheet mechanics over those assuming frictionless multiple expansion or insolvency.
All 14 opinions
Universal Investor AI
The Polymath
OpenAI GPT-6 Astra · 2026-09-03 releaseWeight: 10.3%
Distinguished by rigorous primary-source verification, identifying gross versus net revenue accounting and common equity book value realities. It integrates regulatory capital consumption into distribution limits, establishing an exceptionally sound fundamental analytical framework.
Universal Investor AI
The Polymath
Anthropic Claude Opus 5 · 2026-07-24 releaseWeight: 10.3%
Provides exceptional empirical grounding, cross-referencing executive disclosures on trading deceleration and non-compensation cost increases. The report meticulously resolves the core tension between peak return on equity and sustainable mid-cycle compounding.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.5%
Provides disciplined owner-earnings analysis contrasting peak cyclical deal revenues with mid-cycle normalization. The framework accurately identifies multiple contraction risks at 2.34 times book value while credibly assessing share buyback compounding power across five years.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.5%
Offers balanced multi-asset synthesis capturing the interplay between four percent policy yields and wholesale balance-sheet friction. The model soundly recognizes that steady capital return and alternative fee expansion cannot completely neutralize mid-cycle valuation multiple compression.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.5%
Synthesizes retail banking retrenchment benefits and four-trillion-dollar wealth management scale effectively. The analysis correctly balances elevated wholesale funding costs with countercyclical trading volatility, delivering consistent and empirically grounded forecasting paths.
Ray Dalio AI
The Strategist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.5%
Accurately maps macro-regime transmission through prime brokerage financing spreads and asset management fee durability. It thoughtfully models operating cost friction against long-term capital compounding, maintaining strong internal causal consistency.
Sherlock Holmes AI
The Whistleblower
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.5%
Presents incisive analysis of retail banking divestitures and operating margin restructuring. It accurately identifies medium-term fee deceleration catalysts while maintaining realistic projections for capital distributions and risk-weighted asset constraints.
Elon Musk AI
The Visionary
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.5%
Presents rigorous critique of escalating non-compensation technology expenditure and wholesale funding liabilities. Its valuation skepticism is sound, though its terminal multiple contraction assumptions discount the durable baseload provided by expanding supervised wealth assets.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.5%
Constructs strong structural arguments regarding the transformation into intellectual capital intermediation and automated workflow operating leverage. Nonetheless, it underweights duration drag and private credit disintermediation frictions confronting traditional debt capital syndication.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.5%
Delivers coherent valuation discipline, emphasizing that paying premium book multiples at peak underwriting margins caps total equity appreciation. It robustly assesses the mechanical benefits of float retirement while resisting speculative multiple expansion.
Niccolo Machiavelli AI
The Insider
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.6%
Demonstrates keen strategic insight into regulatory capital relief and institutional advisory hegemony. However, it exhibits excessive optimism regarding sustained twenty percent return on equity in a restrictive monetary regime, warranting a moderated weighting.
Michael Burry AI
The Vulture
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.6%
Contributes valuable forensic scrutiny of negative dealer cash flows, tech expense creep, and private equity realization bottlenecks. However, projecting prolonged multiple deflation toward book parity ignores significant recurring revenue progress in alternative management.
J.P. Morgan AI
The Titan
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.6%
Provides thorough institutional analysis of league-table hegemony and compounding alternative assets. The report heavily discounts wholesale funding liabilities and yield-curve pressures, projecting aggressive top-line compounding that exceeds historical capital market cyclicality.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.6%
Articulates credible contrarian warnings on debt rollover math and wholesale leverage vulnerabilities. The scenario path overemphasizes downside risk by treating normal investment banking lulls as structural solvency shocks, justifying a slightly reduced weighting.
References & Context
Research Provenance
Analysis generated by iPulse AI Engine v7 using recorded market data, operating under the editorial standards and supervision of Russlan Ramdowar, Editor-in-Chief.
External references below are sources recorded by the researcher agents for this The Goldman Sachs Group forecast batch.
Primary analysis inputs
- iPulse AI Multi-Agent Forecasts — independent analyst personas, model outputs, and consensus synthesis.
- iPulse AI Global Events Context — macroeconomic, geopolitical, regulatory, and industry-event context.
- Structured market history — prices, distributions, volatility, identifiers, and listing metadata.
- Company earnings and financial statements — revenue, profitability, balance-sheet, cash-flow, and investment trends.
- Researcher web evidence — public sources consulted to challenge and contextualize the forecast thesis.
Independent AI Advisor panel
- AI Advisors
- 14
- AI Researchers
- 11
- AI Thinkers
- 3
Sources retained from AI Researcher searches
Asset-specific · Researcher web30 available sources from this batch (41 recorded). The first 15 are shown below; expand to read the rest.
- Federal Reserve Board - Agencies issue final rule to modify certain regulatory capital standards federalreserve.gov
- Federal Reserve Board - Federal Reserve issues FOMC statement federalreserve.gov
- GOLDMAN SACHS GROUP INC - Form 10-Q - FY2026 sec.gov
- gs-20251231 sec.gov
- gs-20260630 sec.gov
- www.sec.gov sec.gov
- www.sec.gov sec.gov
- www.sec.gov sec.gov
- Goldman Sachs stock falls 4.0 percent as rates take center stage ad-hoc-news.de
- Goldman Sachs stock falls after CEO flags higher costs and softer trading ad-hoc-news.de
- Goldman Sachs stock gains on a gold call and strong EPS ad-hoc-news.de
- Goldman Sachs stock slips as Dow weakness meets higher rate backdrop ad-hoc-news.de
- Goldman Sachs stock falls after CEO warns of softer trading By Investing.com ca.investing.com
- Duane Morris LLP - Loosening the Reins – A Closer Look at the Federal Reserve's Proposed Capital Rule Changes duanemorris.com
- Goldman Q2 Earnings Beat on Solid Trading & IB Revenues, Shares Rise finance.yahoo.com
Show 15 more sources
- GS Expects Record Global M&A in 2026: Will This Boost Its IB Business? finance.yahoo.com
- 2025 Annual Report | Goldman Sachs goldmansachs.com
- 2025 Annual Report | Goldman Sachs goldmansachs.com
- 2H 2026 Global M&A Outlook: Embracing the Volatility Paradox | Goldman Sachs goldmansachs.com
- Chairman and CEO David Solomon Joins CNBC to Discuss Second-Quarter Earnings, the Deal-Making Environment, and AI Investment | Goldman Sachs goldmansachs.com
- Goldman Sachs Announces Agreement to Acquire NEOS Investments | Goldman Sachs goldmansachs.com
- Goldman Sachs Reports 2026 Second Quarter Earnings Per Common Share of $20.98 and Annualized Return on Common Equity of 23.5% | Goldman Sachs goldmansachs.com
- Second Quarter 2026 Earnings Results Media Relations: Tony Fratto 212-902-5400 goldmansachs.com
- The Goldman Sachs Group, Inc. (GS) Stock Price & News - Google Finance google.com
- The Goldman Sachs Group Inc (GS) Shares Fall 4.0% -- What GF Score of 75 Tells Investors gurufocus.com
- Big U.S. bank shares fall after Bank of America outlook By Investing.com investing.com
- Goldman Sachs Q2 2026 slides: record results across all major businesses By Investing.com ng.investing.com
- Global M&A industry trends: 2026 mid-year outlook | PwC pwc.com
- Goldman Sachs: GS Stock Price Quote & News | Robinhood robinhood.com
- The Goldman Sachs Group (GS) Stock Price & Overview stockanalysis.com
11 additional sources are recorded in this batch; their citation details are not available in this publication.
Context retained with this Consensus
The same public-safe market, global-event, and fundamental context supplied to the AI Advisor panel.
Global context snapshot
2025 Full-Year Global Market and World-Events Context
Download Archived SnapshotCoverage 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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- File size
- 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 this archived snapshot | Date | Status |
|---|---|---|
| DeepSeek shock and AI economics reset | 2025-01-27 | OPEN ENDED TREND |
| US tariff regime escalation and trade-system rupture | 2025-02-01 | ACTIVE POLICY REGIME |
| Federal Reserve easing cycle after a prolonged hold | 2025-09-17 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
2026 Year-to-Date Global Market and World-Events Context Through September 20
Download Archived SnapshotCoverage 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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- File size
- 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 this archived snapshot | Date | Status |
|---|---|---|
| Renewed monetary tightening amid persistent inflation | 2026-01-30 | ACTIVE POLICY REGIME |
| Iran/Hormuz conflict and wider energy-security disruption | 2026-02-28 | ONGOING |
| Tariff legal reset and strategic supply restrictions | 2026-02-20 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
Fundamental Context Passed as Input to the Models
Time range: Annual fiscal periods: 2014-12-31–2025-12-31, 12 periods; Quarterly fiscal periods: 2023-09-30–2026-06-30, 12 periods.
Currencies cited: USD (quote USD; primary reporting USD; converted/valuation USD).
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Income statement
9 fieldsdepreciationAndAmortization · ebit · ebitda · grossProfit · +5 more fields
Balance sheet
12 fieldscash · commonStockSharesOutstanding · longTermDebt · netDebt · +8 more fields
Cash flow
5 fieldscapitalExpenditures · dividendsPaid · freeCashFlow · salePurchaseOfStock · +1 more field
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