Bank Of America (BAC) Retained Earnings (2009 - 2026)
Bank Of America (BAC) posted Retained Earnings of $274.52 billion for Q2 2026, up 8.9% from $252.18 billion a year earlier and up 2.5% from the prior quarter.
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Analysis
Bank Of America (BAC) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America's Retained Earnings came in at $261.69 billion, up 8.7% from FY2024.
- Annual Retained Earnings has increased for 14 consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In prior years, Bank Of America's Retained Earnings was $240.75 billion in FY2024 (+7.2%), $224.67 billion in FY2023 (+8.5%), $207 billion in FY2022 (+10.1%) and $188.06 billion in FY2021 (+14.6%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 57 quarters, with growth averaging 8.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 6.3% in Q3 2024 to 14.6% in Q4 2021.
- According to Business Quant data, Retained Earnings for the three prior quarters was $267.77 billion (Q1 2026), $261.69 billion (Q4 2025) and $258.14 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 | 274.52 Bn |
| Mar 31, 2026 | 267.77 Bn |
| Dec 31, 2025 | 261.69 Bn |
| Sep 30, 2025 | 258.14 Bn |
| Jun 30, 2025 | 252.18 Bn |
| Mar 31, 2025 | 247.32 Bn |
| Dec 31, 2024 | 240.75 Bn |
| Sep 30, 2024 | 237.95 Bn |
| Jun 30, 2024 | 233.60 Bn |
| Mar 31, 2024 | 228.90 Bn |
| Dec 31, 2023 | 224.67 Bn |
| Sep 30, 2023 | 223.75 Bn |
| Jun 30, 2023 | 218.40 Bn |
| Mar 31, 2023 | 213.06 Bn |
| Dec 31, 2022 | 207.00 Bn |
| Sep 30, 2022 | 201.96 Bn |
| Jun 30, 2022 | 197.16 Bn |
| Mar 31, 2022 | 192.93 Bn |
| Dec 31, 2021 | 188.06 Bn |
| Sep 30, 2021 | 183.01 Bn |
API Access
Bank Of America 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=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "BAC", "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=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();