Bank Of America (BAC) EV to FCF (2010 - 2026)
Bank Of America's (BAC) EV to FCF came in at -1.99 for Q2 2026.
Analysis
Bank Of America (BAC) EV to FCF (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to FCF at Bank Of America was -20.86; for FY2025, it was -16.02.
- In prior years, Bank Of America's EV to FCF was -7.66 in FY2023.
- The Q2 2026 figure stands as the highest quarterly EV to FCF since Q4 2019.
- According to Business Quant data, EV to FCF for the three prior quarters was -4.58 (Q1 2026), -16.02 (Q4 2025) and -3.32 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.99 |
| Mar 31, 2026 | -4.58 |
| Dec 31, 2025 | -16.02 |
| Sep 30, 2025 | -3.32 |
| Mar 31, 2025 | -65.43 |
| Jun 30, 2024 | -6.76 |
| Mar 31, 2024 | -8.18 |
| Dec 31, 2023 | -7.66 |
| Sep 30, 2023 | -10.20 |
| Jun 30, 2023 | -10.23 |
| Mar 31, 2023 | -16.66 |
| Sep 30, 2022 | -34.96 |
| Jun 30, 2022 | -60.98 |
| Sep 30, 2021 | -79.48 |
| Dec 31, 2020 | -8.35 |
| Sep 30, 2020 | -8.18 |
| Jun 30, 2020 | -4.46 |
| Mar 31, 2020 | -3.95 |
| Dec 31, 2019 | -1.30 |
| Jun 30, 2019 | -10.84 |
API Access
Bank Of America EV to FCF 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-fcf&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();