Bank Of America (BAC) EV to EBIT (2009 - 2026)
Bank Of America's (BAC) EV to EBIT was -1.60 for Q2 2026, compared with -2.24 a year earlier.
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Analysis
Bank Of America (BAC) EV to EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bank Of America's EV to EBIT came in at -16.75; for FY2025, it was -1.74.
- By year, EV to EBIT came in at -2.18 in FY2024, -3.26 in FY2023, -5.12 in FY2022 and -6.09 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EV to EBIT since Q4 2019.
- Per Business Quant data, the three quarters before Q2 2026 came in at -2.21 (Q1 2026), -1.71 (Q4 2025) and -1.70 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 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 | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.60 |
| Mar 31, 2026 | -2.21 |
| Dec 31, 2025 | -1.71 |
| Sep 30, 2025 | -1.70 |
| Jun 30, 2025 | -2.24 |
| Mar 31, 2025 | -2.42 |
| Dec 31, 2024 | -2.18 |
| Sep 30, 2024 | -2.77 |
| Jun 30, 2024 | -2.73 |
| Mar 31, 2024 | -2.98 |
| Dec 31, 2023 | -3.26 |
| Sep 30, 2023 | -4.64 |
| Jun 30, 2023 | -5.57 |
| Mar 31, 2023 | -7.11 |
| Dec 31, 2022 | -5.12 |
| Sep 30, 2022 | -6.14 |
| Jun 30, 2022 | -6.40 |
| Mar 31, 2022 | -6.79 |
| Dec 31, 2021 | -6.09 |
| Sep 30, 2021 | -5.89 |
API Access
Bank Of America EV to EBIT 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=ev-to-ebit&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();