Morgan Stanley (MS) Retained Earnings (2010 - 2026)
Morgan Stanley's Retained Earnings was $122.77 billion in Q2 2026, up 12.1% from $109.57 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Morgan Stanley (MS) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Morgan Stanley came in at $115.09 billion, up 9.6% from FY2024.
- Retained Earnings has now increased for 13 consecutive years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $104.99 billion in FY2024 (+7.1%), $98 billion in FY2023 (+3.3%), $94.86 billion in FY2022 (+6.1%) and $89.43 billion in FY2021 (+13.6%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for 54 straight quarters, with growth averaging 8.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 3.3% (Q4 2023) to 14.5% (Q3 2021).
- Per Business Quant data, MS's Retained Earnings in the three quarters before Q2 2026 was $118.91 billion (Q1 2026), $115.09 billion (Q4 2025) and $112.43 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 237.23 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 26.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.77 Bn |
| Mar 31, 2026 | 118.91 Bn |
| Dec 31, 2025 | 115.09 Bn |
| Sep 30, 2025 | 112.43 Bn |
| Jun 30, 2025 | 109.57 Bn |
| Mar 31, 2025 | 107.65 Bn |
| Dec 31, 2024 | 104.99 Bn |
| Sep 30, 2024 | 102.91 Bn |
| Jun 30, 2024 | 101.37 Bn |
| Mar 31, 2024 | 99.81 Bn |
| Dec 31, 2023 | 98.00 Bn |
| Sep 30, 2023 | 98.01 Bn |
| Jun 30, 2023 | 97.15 Bn |
| Mar 31, 2023 | 96.39 Bn |
| Dec 31, 2022 | 94.86 Bn |
| Sep 30, 2022 | 94.06 Bn |
| Jun 30, 2022 | 92.89 Bn |
| Mar 31, 2022 | 91.72 Bn |
| Dec 31, 2021 | 89.43 Bn |
| Sep 30, 2021 | 87.10 Bn |
API Access
Morgan Stanley 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=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "MS", "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=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();