Bank Of America (BAC) EBITDA (2009 - 2026)
Bank Of America's EBITDA came in at $30.01 billion for Q2 2026, up 1.9% from $29.44 billion a year earlier and up 4.9% from the prior quarter.
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Analysis
Bank Of America (BAC) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank Of America reported EBITDA of $120.35 billion, down 2.4% year-over-year; for FY2025, it was $118.48 billion, down 5.9% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $125.96 billion in FY2024 (+16.7%), $107.92 billion in FY2023 (+103.4%), $53.05 billion in FY2022 (+30.6%) and $40.61 billion in FY2021 (+39.7%).
- The five-year range for quarterly EBITDA is $9.46 billion (Q4 2021) to $33.25 billion (Q4 2024).
- Year-over-year, EBITDA increased in three of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2023 (growth of 169.7%), and the weakest in Q1 2022 (a decline of 10.4%).
- Business Quant data shows BAC's EBITDA at $28.62 billion (Q1 2026), $31.54 billion (Q4 2025) and $30.17 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | 11.41 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.01 Bn |
| Mar 31, 2026 | 28.62 Bn |
| Dec 31, 2025 | 31.54 Bn |
| Sep 30, 2025 | 30.17 Bn |
| Jun 30, 2025 | 29.44 Bn |
| Mar 31, 2025 | 29.19 Bn |
| Dec 31, 2024 | 33.25 Bn |
| Sep 30, 2024 | 31.40 Bn |
| Jun 30, 2024 | 31.26 Bn |
| Mar 31, 2024 | 30.05 Bn |
| Dec 31, 2023 | 29.52 Bn |
| Sep 30, 2023 | 27.86 Bn |
| Jun 30, 2023 | 26.74 Bn |
| Mar 31, 2023 | 23.80 Bn |
| Dec 31, 2022 | 18.79 Bn |
| Sep 30, 2022 | 14.65 Bn |
| Jun 30, 2022 | 9.91 Bn |
| Mar 31, 2022 | 9.70 Bn |
| Dec 31, 2021 | 9.46 Bn |
| Sep 30, 2021 | 10.67 Bn |
API Access
Bank Of America EBITDA 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=ebitda&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();