Goldman Sachs (GS) EPS (Diluted) (2009 - 2026)
Goldman Sachs (GS) reported EPS (Diluted) of $16.80 for Q3 2026, up 37.1% from $12.25 a year earlier but down 20.0% from the prior quarter.
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Analysis
Goldman Sachs (GS) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Goldman Sachs' EPS (Diluted) came in at $69.89, up 39.0% year-over-year; for FY2025, it came in at $51.32, up 26.6% from FY2024.
- EPS (Diluted) has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $40.54 in FY2024 (+77.3%), $22.87 in FY2023 (-23.9%), $30.06 in FY2022 (-49.4%) and $59.45 in FY2021 (+140.3%).
- Five-year quarterly EPS (Diluted) spans a low of $3.08 in Q2 2023 and a high of $20.99 in Q2 2026.
- Year over year, EPS (Diluted) has now increased in each of the last 12 quarters, with growth averaging 47.9% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was Q2 2024 (growth of 179.3%); the low point was Q4 2022 (a decline of 69.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $20.99 (Q2 2026), $17.54 (Q1 2026) and $13.80 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 1.50 |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 2.02 |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 3.06 |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 17.01 |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 0.14 |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.87 |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 5.51 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.01 |
| Jun 30, 2026 | 20.99 |
| Mar 31, 2026 | 17.54 |
| Dec 31, 2025 | 13.80 |
| Sep 30, 2025 | 12.25 |
| Jun 30, 2025 | 10.91 |
| Mar 31, 2025 | 14.12 |
| Dec 31, 2024 | 11.76 |
| Sep 30, 2024 | 8.40 |
| Jun 30, 2024 | 8.62 |
| Mar 31, 2024 | 11.58 |
| Dec 31, 2023 | 5.40 |
| Sep 30, 2023 | 5.47 |
| Jun 30, 2023 | 3.08 |
| Mar 31, 2023 | 8.79 |
| Dec 31, 2022 | 3.31 |
| Sep 30, 2022 | 8.25 |
| Jun 30, 2022 | 7.73 |
| Mar 31, 2022 | 10.76 |
| Dec 31, 2021 | 10.71 |
API Access
Goldman Sachs EPS (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-diluted&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "GS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();