Goldman Sachs (GS) EPS (Diluted) (2009 - 2026)
Goldman Sachs (GS) reported EPS (Diluted) of $20.99 for Q2 2026, up 92.3% from $10.91 a year earlier and up 19.6% from the prior quarter.
Goldman Sachs (GS) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Goldman Sachs' EPS (Diluted) came in at $65.75, up 41.8% 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%).
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- Year over year, EPS (Diluted) has now increased in each of the last 11 quarters, with growth averaging 50.0% 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 Q2 2026 came in at $17.54 (Q1 2026), $13.80 (Q4 2025) and $12.25 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 7.70 |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 0.00 |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 1.20 |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 3.46 |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 3.06 |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 20.99 |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 2.00 |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 4.58 |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 14.93 |
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_KEY
import 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();