Bank Of America (BAC) EV to CFO (2010 - 2026)
Bank Of America's (BAC) EV to CFO stood at -1.99 in Q2 2026.
Analysis
Bank Of America (BAC) EV to CFO (2010 - 2026) Analysis & Trends
On a TTM basis, Bank Of America's EV to CFO came in at -20.86 as of Jun 30, 2026; for FY2025, it was -16.02.
- Across earlier years, EV to CFO came in at -7.66 in FY2023.
- The Q2 2026 figure is the highest quarterly EV to CFO since Q4 2019.
- Per Business Quant, the preceding three quarters came in at -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 | 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 | -1.99 |
| 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 CFO 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-cfo&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();