The Goldman Sachs Group, Inc. research snapshot
GS AI stock analysis currently reads The Goldman Sachs Group as a premier investment banking, trading, asset management, and wealth management franchise with strong Q1 2026 momentum and a more focused strategy after the consumer platform reset. At the July 8, 2026 data cutoff, GS traded near $1,043 with market capitalization near $307.68 billion. The business quality score is solid, but the GS AI stock forecast uses scenarios rather than a single price prediction because capital markets revenue, credit costs, regulation, and valuation multiples can move quickly. This page is informational research and not investment advice.
Current price
$1,043
Market cap
$307.68 billion
AI score
74 / 100
Rating
High-quality capital markets franchise, with returns tied to deal cycles, trading conditions, and capital discipline
Trend status
Above the 50-day and 200-day moving averages, with neutral RSI and a wide valuation range
Data cutoff (updated weekly)
July 8, 2026
Informational use only. This page is not investment advice.
| Dimension | Conclusion | Confidence |
|---|---|---|
| Business quality | Goldman combines investment banking, equities, FICC, asset and wealth management, financing, and global institutional relationships that are difficult to replicate. | High |
| Moat | Moat comes from brand trust, talent density, institutional relationships, trading infrastructure, balance sheet access, regulatory permissions, and cross-border execution. | High |
| Management | David Solomon has refocused the firm around Global Banking & Markets and Asset & Wealth Management while reducing the drag from Platform Solutions. | Medium-high |
| Financial trend | FY2025 net revenues were $58.28 billion and net earnings were $17.18 billion. Q1 2026 net revenues rose 14% year over year to $17.23 billion and net earnings reached $5.63 billion. | High |
| Valuation | At $1,043, financial_rigor.py calculates about 19.1x EPS, 2.89x book value, 15.2% ROE, and a 1.73% dividend yield using current inputs. | High |
| Technical trend | Barchart showed GS above its 50-day moving average near $1,003 and 200-day moving average near $892, with 14-day RSI near 51.8. | Medium-high |
| Risk level | Main risks are capital markets cyclicality, trading revenue normalization, credit losses, regulatory capital requirements, litigation, compensation inflation, and leverage to global risk appetite. | Medium-high |
| AI confidence | High for disclosed historical facts and math. Medium for the forecast because GS earnings can change fast with market volatility, underwriting windows, and credit conditions. | High data confidence |
| Investment certainty | Medium certainty. Goldman has an elite franchise, but the current stock price needs durable ROE and continued capital markets strength to justify upside. | Medium |
GS AI stock forecast
The GS AI stock forecast uses scenario math around the $1,043 quote. A three-year EPS framework using TTM EPS of $54.72 produced a bullish value near $1,691, a base value near $1,207, and a bearish value near $563 before dividends. The spread is wide because investment banking, trading, credit, and valuation multiples are all cyclical.
$1,550 to $1,700
More likely if advisory and underwriting backlogs convert, equities remains strong, FICC stabilizes, Asset & Wealth Management assets grow, credit costs stay contained, and the market rewards GS with a low-20s earnings multiple.
$1,150 to $1,250
More likely if EPS grows at a mid-single-digit to high-single-digit rate, ROE stays in the mid-teens, buybacks offset dilution, and the market applies a high-teens earnings multiple.
$540 to $600
More likely if capital markets weaken, trading revenue normalizes below recent levels, credit provisions rise, regulators demand more capital, or investors price GS closer to book value during a risk-off period.
GS AI technical analysis
GS AI technical analysis is constructive but no longer an early setup as of the July 8, 2026 data cutoff. Barchart showed GS above its 50-day and 200-day moving averages, with 14-day RSI near 51.76, 20-day average volume near 2.33 million shares, and 14-day ATR near $31.18.
| Level | Value | Why it matters |
|---|---|---|
| Current price | $1,043 | CompaniesMarketCap share price used for this static page and market cap verification. |
| Near support | $1,003 to $1,035 | The 50-day moving average near $1,003 and the recent low near $1,035 are the first areas to monitor. |
| Secondary support | $892 to $940 | The 200-day moving average near $892 and the 100-day average near $937 define the deeper trend support zone. |
| Near resistance | $1,055 to $1,125 | The recent quote area and Google Finance 52-week high near $1,125 define the first resistance band. |
| 50-day SMA | $1,003.09 | Barchart reported GS trading above the 50-day moving average. |
| 200-day SMA | $892.18 | Barchart reported GS trading well above the 200-day moving average. |
| Momentum | 14-day RSI 51.76 | Momentum is neutral, not overbought by the common 70 RSI threshold. |
| Volume | About 2.33 million shares | The 20-day average volume provides a liquidity baseline for judging breakouts and pullbacks. |
| Volatility | 14-day ATR $31.18 | Normal daily movement can be large in dollar terms, so position sizing should use volatility rather than share price alone. |
| Invalidation | Close below $1,003, then $940 | A close below the 50-day average would weaken the near-term setup. A break toward the 100-day area would signal broader trend damage. |
GS AI trading strategy
The GS AI trading strategy is a rules-based framework for a global investment bank and asset manager. It is not personalized advice and should be paired with live chart data, earnings dates, capital return updates, credit trends, underwriting activity, and clear invalidation levels.
Watch for GS to hold above the 50-day moving average near $1,003 and then clear the $1,055 to $1,125 resistance band on above-average volume and improving capital markets news.
A close back below the 50-day moving average, or a breakout that fails while bank stocks weaken, should invalidate the near-term trend setup.
If GS pulls back toward $1,003 or the $940 area without a deterioration in ROE, credit costs, investment banking backlog, or capital ratios, compare the price move with the earnings thesis.
Do not use brand quality as a substitute for stop discipline because bank stocks can rerate quickly when confidence or liquidity changes.
Track advisory fees, underwriting, equities revenue, FICC revenue, assets under supervision, book value per share, capital returns, credit provisions, compensation ratio, litigation items, and regulatory capital.
Reduce confidence if FICC weakness broadens, advisory backlog fails to convert, credit provisions rise faster than revenue, or valuation remains high while ROE normalizes.
Investment research summary
Goldman Sachs helps corporations, governments, institutions, and wealthy clients raise capital, manage risk, trade markets, finance positions, invest assets, and complete strategic transactions.
The moat is built from global client relationships, trusted execution in complex transactions, trading systems, risk management culture, regulatory licenses, balance sheet scale, and a brand that attracts talent and clients.
The thesis fails if capital markets volumes contract, trading gains reverse, risk controls miss a large exposure, credit losses rise, compensation absorbs too much upside, or regulators force lower leverage and returns.
David Solomon has pushed Goldman toward a cleaner institutional and wealth strategy after the consumer banking reset. The current test is whether capital allocation, buybacks, and risk controls can keep ROE durable through cycles.
Goldman benefits from long-running demand for global capital formation, risk transfer, private wealth management, alternatives, and market liquidity, but the industry remains cyclical and highly regulated.
At about 19.1x EPS and 2.89x book value, GS is not priced as a distressed bank. Margin of safety improves if the stock pulls back while book value, ROE, and capital returns remain healthy.
Source-backed data
Every metric below includes a source and last verification date.
| Metric | Value | Source | Last verified |
|---|---|---|---|
| GS price | $1,043 share price used for market cap verification | CompaniesMarketCap | July 8, 2026 |
| Market capitalization | $307.68 billion, verified as $1,043 x 295.01 million shares | CompaniesMarketCap and financial_rigor.py | July 8, 2026 |
| Shares outstanding | 295.01 million shares from Google Finance and 295,007,421 shares in the Q1 2026 Form 10-Q | Google Finance and Goldman Sachs Q1 2026 Form 10-Q | July 8, 2026 |
| FY2025 net revenues | $58.28 billion, cross-checked with Macrotrends and StockAnalysis | Goldman Sachs 2025 earnings release | July 8, 2026 |
| FY2025 net earnings | $17.18 billion, cross-checked with Macrotrends | Goldman Sachs 2025 earnings release | July 8, 2026 |
| Q1 2026 results | $17.23 billion net revenues, $5.63 billion net earnings, $17.55 diluted EPS, and 19.8% annualized ROE | Goldman Sachs Q1 2026 earnings release | July 8, 2026 |
| Q1 2026 segment mix | $12.74 billion Global Banking & Markets, $4.08 billion Asset & Wealth Management, and $411 million Platform Solutions net revenues | Goldman Sachs Q1 2026 SEC earnings exhibit | July 8, 2026 |
| Cash and cash equivalents | $179.0 billion in Q1 2026 release, cross-checked against Trading Economics at $179.53 billion | Goldman Sachs Q1 2026 earnings release | July 8, 2026 |
| Book value per share | $361.19 at Q1 2026 | Goldman Sachs Q1 2026 earnings release | July 8, 2026 |
| Valuation math | 19.06x EPS, 2.89x book value, 15.15% ROE proxy, and 1.73% dividend yield | financial_rigor.py valuation verification | July 8, 2026 |
| Technical indicators | 50-day SMA $1,003.09, 200-day SMA $892.18, 14-day RSI 51.76, 14-day ATR $31.18 | Barchart technical analysis | July 8, 2026 |
| Three-scenario model | Bullish $1,691, base $1,207, bearish $563 based on financial_rigor.py EPS growth and PE assumptions | financial_rigor.py three-scenario model | July 8, 2026 |
This GS AI stock analysis is an informational tool based on public filings, market data, technical indicators, and scenario math available at the stated data cutoff. It is not investment advice, a recommendation, or a guarantee of future returns. Forecast ranges can be wrong, and Goldman Sachs stock can move sharply after earnings, regulatory updates, credit events, market volatility, or changes in investor risk appetite.
