Goldman Sachs (GS) Retained Earnings (2009 - 2026)
Goldman Sachs' Retained Earnings came in at $174.35 billion for Q2 2026, up 9.3% from $159.54 billion a year earlier and up 3.0% from the prior quarter.
Powered by 
Analysis
Goldman Sachs (GS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Goldman Sachs' Retained Earnings was $165.29 billion, up 7.7% from FY2024.
- Retained Earnings has increased in each of the last 12 years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $153.41 billion in FY2024 (+6.8%), $143.69 billion in FY2023 (+3.1%), $139.37 billion in FY2022 (+5.7%) and $131.81 billion in FY2021 (+16.7%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q2 2009.
- Year-over-year, Retained Earnings has increased for 25 consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 2.6% (Q3 2023) to 18.0% (Q3 2021).
- Business Quant data shows GS's Retained Earnings at $169.32 billion (Q1 2026), $165.29 billion (Q4 2025) and $162.14 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 898.32 Bn | 898.32 Bn | - | 445.02 Bn |
| 2 | Bank Of America | 385.74 Bn | -1,990.33 Bn | - | 274.52 Bn |
| 3 | Hsbc Holdings | 330.24 Bn | -1,498.92 Bn | - | 167.59 Bn |
| 4 | Morgan Stanley | 290.86 Bn | -218.23 Bn | - | 122.77 Bn |
| 5 | Royal Bank Of Canada | 274.61 Bn | -555.43 Bn | - | 73.85 Bn |
| 6 | Goldman Sachs | 268.62 Bn | -3,288.50 Bn | - | 174.35 Bn |
| 7 | Mitsubishi Ufj Financial | 255.58 Bn | -39.36 Bn | 10.89 Bn | 101.18 Bn |
| 8 | Wells Fargo & Company | 248.76 Bn | 248.76 Bn | - | 237.23 Bn |
| 9 | American Express | 209.08 Bn | 906.64 Mn | - | 26.38 Bn |
| 10 | Toronto Dominion Bank | 203.06 Bn | -472.81 Bn | - | 56.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.35 Bn |
| Mar 31, 2026 | 169.32 Bn |
| Dec 31, 2025 | 165.29 Bn |
| Sep 30, 2025 | 162.14 Bn |
| Jun 30, 2025 | 159.54 Bn |
| Mar 31, 2025 | 157.02 Bn |
| Dec 31, 2024 | 153.41 Bn |
| Sep 30, 2024 | 150.45 Bn |
| Jun 30, 2024 | 148.65 Bn |
| Mar 31, 2024 | 146.69 Bn |
| Dec 31, 2023 | 143.69 Bn |
| Sep 30, 2023 | 142.74 Bn |
| Jun 30, 2023 | 141.80 Bn |
| Mar 31, 2023 | 141.59 Bn |
| Dec 31, 2022 | 139.37 Bn |
| Sep 30, 2022 | 139.07 Bn |
| Jun 30, 2022 | 137.00 Bn |
| Mar 31, 2022 | 134.93 Bn |
| Dec 31, 2021 | 131.81 Bn |
| Sep 30, 2021 | 128.63 Bn |
API Access
Goldman Sachs Retained Earnings 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=retained-earnings&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();