Bank Of America (BAC) Income from Continuing Operations (2009 - 2026)
Bank Of America (BAC) recorded Income from Continuing Operations of $9.07 billion in Q2 2026, up 26.6% from $7.17 billion a year earlier and up 5.7% from the prior quarter.
Bank Of America (BAC) Income from Continuing Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Bank Of America's Income from Continuing Operations came in at $33.66 billion as of Jun 30, 2026, up 20.5% year-over-year; for FY2025, it was $30.51 billion, up 13.1% from FY2024.
- Annual Income from Continuing Operations has a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, Income from Continuing Operations came in at $26.97 billion in FY2024 (+2.5%), $26.31 billion in FY2023 (-4.4%), $27.53 billion in FY2022 (-13.9%) and $31.98 billion in FY2021 (+78.7%).
- The Q2 2026 figure is the highest quarterly Income from Continuing Operations since Q2 2021.
- On a year-over-year basis, Income from Continuing Operations has increased for seven consecutive quarters, with growth averaging 25.8% over the last eight quarters.
- Peak year-over-year performance for Income from Continuing Operations in the last five years was growth of 121.7% in Q4 2024, against a decline of 58.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.58 billion (Q1 2026), $7.53 billion (Q4 2025) and $8.47 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 3.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.07 Bn |
| Mar 31, 2026 | 8.58 Bn |
| Dec 31, 2025 | 7.53 Bn |
| Sep 30, 2025 | 8.47 Bn |
| Jun 30, 2025 | 7.17 Bn |
| Mar 31, 2025 | 7.36 Bn |
| Dec 31, 2024 | 6.51 Bn |
| Sep 30, 2024 | 6.90 Bn |
| Jun 30, 2024 | 6.90 Bn |
| Mar 31, 2024 | 6.67 Bn |
| Dec 31, 2023 | 2.93 Bn |
| Sep 30, 2023 | 7.80 Bn |
| Jun 30, 2023 | 7.41 Bn |
| Mar 31, 2023 | 8.16 Bn |
| Dec 31, 2022 | 7.13 Bn |
| Sep 30, 2022 | 7.08 Bn |
| Jun 30, 2022 | 6.25 Bn |
| Mar 31, 2022 | 7.07 Bn |
| Dec 31, 2021 | 7.01 Bn |
| Sep 30, 2021 | 7.69 Bn |
Bank Of America Income from Continuing Operations 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=income-from-continuing-operations&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();