Wells Fargo & Company (WFC) Retained Earnings (2009 - 2026)
Wells Fargo & Company (WFC) reported Retained Earnings of $241.4 billion for Q3 2026, up 7.2% from $225.19 billion a year earlier and up 1.8% from the prior quarter.
Wells Fargo & Company (WFC) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Wells Fargo & Company posted Retained Earnings of $228.87 billion, up 6.9% from FY2024.
- Retained Earnings has increased for five consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Retained Earnings came in at $214.2 billion in FY2024 (+6.5%), $201.14 billion in FY2023 (+7.0%), $187.97 billion in FY2022 (+4.2%) and $180.32 billion in FY2021 (+11.3%).
- The Q3 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q2 2009.
- Year over year, Retained Earnings has now increased in each of the last 23 quarters, with growth averaging 6.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 4.2% in Q4 2022 to 11.3% in Q4 2021.
- Per Business Quant data, the three quarters before Q3 2026 came in at $237.23 billion (Q2 2026), $232.46 billion (Q1 2026) and $228.87 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 101.18 Bn |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 27.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 241.40 Bn |
| Jun 30, 2026 | 237.23 Bn |
| Mar 31, 2026 | 232.46 Bn |
| Dec 31, 2025 | 228.87 Bn |
| Sep 30, 2025 | 225.19 Bn |
| Jun 30, 2025 | 221.31 Bn |
| Mar 31, 2025 | 217.41 Bn |
| Dec 31, 2024 | 214.20 Bn |
| Sep 30, 2024 | 210.75 Bn |
| Jun 30, 2024 | 207.28 Bn |
| Mar 31, 2024 | 203.87 Bn |
| Dec 31, 2023 | 201.14 Bn |
| Sep 30, 2023 | 199.29 Bn |
| Jun 30, 2023 | 195.16 Bn |
| Mar 31, 2023 | 191.69 Bn |
| Dec 31, 2022 | 187.97 Bn |
| Sep 30, 2022 | 186.55 Bn |
| Jun 30, 2022 | 184.48 Bn |
| Mar 31, 2022 | 182.62 Bn |
| Dec 31, 2021 | 180.32 Bn |
Wells Fargo & Company 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=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "WFC", "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=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();