Flagstar Bank, National Association (FLG) EV to CFO (2018 - 2026)
Flagstar Bank, National Association's (FLG) EV to CFO came in at 38.46 for Q2 2026, up 103.9% from the prior quarter.
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Analysis
Flagstar Bank, National Association (FLG) EV to CFO (2018 - 2026) Analysis & Trends
For FY2024, Flagstar Bank, National Association's EV to CFO stood at -264.66.
- In prior years, Flagstar Bank, National Association's EV to CFO was -15.54 in FY2023, -6.77 in FY2022, 19.52 in FY2021 (+33.2%) and 14.65 in FY2020 (+53.3%).
- The Q2 2026 figure stands as the highest quarterly EV to CFO in data going back to Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Flagstar Bank, National Association | 4.94 Bn | 4.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.46 |
| Mar 31, 2026 | 18.86 |
| Sep 30, 2025 | -29.78 |
| Dec 31, 2024 | -264.66 |
| Sep 30, 2024 | 19.27 |
| Jun 30, 2024 | 1.45 |
| Dec 31, 2023 | -15.54 |
| Mar 31, 2023 | -6.02 |
| Dec 31, 2022 | -6.77 |
| Sep 30, 2022 | 4.68 |
| Jun 30, 2022 | 6.29 |
| Mar 31, 2022 | 14.22 |
| Dec 31, 2021 | 19.52 |
| Sep 30, 2021 | 35.62 |
| Jun 30, 2021 | 25.50 |
| Mar 31, 2021 | 17.93 |
| Dec 31, 2020 | 14.65 |
| Sep 30, 2020 | 9.31 |
| Jun 30, 2020 | 11.89 |
| Mar 31, 2020 | 6.31 |
API Access
Flagstar Bank, National Association 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=FLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "FLG", "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=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();