Bank Of America (BAC) EBITDA Margin (2009 - 2026)
Bank Of America's EBITDA Margin came in at 91.48% for Q3 2026, down 15.70 percentage points from 107.18% a year earlier and down 3.62 percentage points from the prior quarter.
Bank Of America (BAC) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Bank Of America reported EBITDA Margin of 95.52%, down 12.34 percentage points year-over-year; for FY2025, it was 104.76%, down 14.23 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +70.78 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 118.99% in FY2024 (+13.98 pp), 105.01% in FY2023 (+49.14 pp), 55.87% in FY2022 (+10.30 pp) and 45.57% in FY2021 (+11.59 pp).
- The Q3 2026 figure represents the lowest quarterly EBITDA Margin since Q1 2023.
- Year-over-year, EBITDA Margin has declined for seven consecutive quarters, with an average year-over-year change of -11.74 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2023 (a gain of 62.43 percentage points), and the weakest in Q3 2025 (a drop of 16.70 percentage points).
- Business Quant data shows BAC's EBITDA Margin at 95.10% (Q2 2026), 94.55% (Q1 2026) and 101.27% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 139.87% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 142.21% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 92.97% |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 34.61% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.48% |
| Jun 30, 2026 | 95.10% |
| Mar 31, 2026 | 94.55% |
| Dec 31, 2025 | 101.27% |
| Sep 30, 2025 | 107.18% |
| Jun 30, 2025 | 107.28% |
| Mar 31, 2025 | 103.32% |
| Dec 31, 2024 | 113.43% |
| Sep 30, 2024 | 123.88% |
| Jun 30, 2024 | 123.16% |
| Mar 31, 2024 | 116.40% |
| Dec 31, 2023 | 111.39% |
| Sep 30, 2023 | 111.05% |
| Jun 30, 2023 | 106.24% |
| Mar 31, 2023 | 90.76% |
| Dec 31, 2022 | 77.46% |
| Sep 30, 2022 | 61.31% |
| Jun 30, 2022 | 46.27% |
| Mar 31, 2022 | 45.63% |
| Dec 31, 2021 | 48.78% |
Bank Of America EBITDA Margin 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-margin&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();