Federal National Mortgage Association Fannie Mae (FNMA) EV to FCF (2011 - 2026)
Federal National Mortgage Association Fannie Mae's (FNMA) EV to FCF stood at 0.92 in Q2 2026, down 19.8% from the prior quarter.
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Analysis
Federal National Mortgage Association Fannie Mae (FNMA) EV to FCF (2011 - 2026) Analysis & Trends
For FY2025, Federal National Mortgage Association Fannie Mae's EV to FCF came in at 2.62.
- Across earlier years, EV to FCF came in at -2.49 in FY2023, -1.28 in FY2022 and -2.67 in FY2021.
- The Q2 2026 figure is the lowest quarterly EV to FCF since Q3 2024.
- Per Business Quant, the preceding three quarters came in at 1.15 (Q1 2026), 2.62 (Q4 2025) and 12.59 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 41.18 Bn | 9.90 Bn | 4.68 Bn |
| 2 | Rocket Companies | 30.87 Bn | 16.55 Bn | - |
| 3 | Affirm Holdings | 26.11 Bn | 19.80 Bn | - |
| 4 | Royalty Pharma | 25.20 Bn | 22.16 Bn | - |
| 5 | Synchrony Financial | 24.32 Bn | -43.65 Bn | - |
| 6 | Federal National Mortgage Association Fannie Mae | 20.83 Bn | 20.83 Bn | - |
| 7 | Royal Gold | 19.70 Bn | 18.88 Bn | 390.45 Mn |
| 8 | Ares Capital | 13.30 Bn | 10.74 Bn | - |
| 9 | Annaly Capital Management | 13.26 Bn | 4.30 Bn | - |
| 10 | Federal Home Loan Mortgage | 10.54 Bn | -8.20 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.92 |
| Mar 31, 2026 | 1.15 |
| Dec 31, 2025 | 2.62 |
| Sep 30, 2025 | 12.59 |
| Sep 30, 2024 | -8.01 |
| Jun 30, 2024 | -2.35 |
| Mar 31, 2024 | -0.22 |
| Dec 31, 2023 | -2.49 |
| Sep 30, 2023 | -2.22 |
| Jun 30, 2023 | -1.92 |
| Mar 31, 2023 | -1.30 |
| Dec 31, 2022 | -1.28 |
| Sep 30, 2022 | -2.09 |
| Jun 30, 2022 | -3.32 |
| Mar 31, 2022 | -4.53 |
| Dec 31, 2021 | -2.67 |
| Sep 30, 2021 | -3.88 |
| Jun 30, 2021 | -20.98 |
| Sep 30, 2019 | -6.22 |
| Jun 30, 2019 | -9.52 |
API Access
Federal National Mortgage Association Fannie Mae 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=FNMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "FNMA", "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=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();