Federal National Mortgage Association Fannie Mae (FNMA) EBITDA Margin (2009 - 2010)
Federal National Mortgage Association Fannie Mae (FNMA) recorded EBITDA Margin of 502.77% in FY2025, up 43.27 percentage points from 459.50% in FY2024.
Federal National Mortgage Association Fannie Mae (FNMA) EBITDA Margin (2009 - 2010) Analysis & Trends
Starting with FY2009, Federal National Mortgage Association Fannie Mae's EBITDA Margin history includes 17 years.
- Annual EBITDA Margin has increased for four straight years, with a five-year change of +130.34 percentage points (FY2020 to FY2025).
- The FY2025 figure is the highest annual EBITDA Margin since FY2019.
- Per Business Quant data, FNMA's EBITDA Margin was 459.50% in FY2024 (+26.21 pp), 433.28% in FY2023 (+103.30 pp), 329.98% in FY2022 (+52.52 pp) and 277.46% in FY2021 (-94.97 pp).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 44.58% |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 82.99% |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 22.34% |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 47.01% |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 49.93% |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | - |
| 10 | Federal Home Loan Mortgage | 12.55 Bn | -328.43 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2010 | 600.08% |
| Sep 30, 2010 | 625.78% |
| Jun 30, 2010 | 759.25% |
| Mar 31, 2010 | 839.08% |
| Dec 31, 2009 | -125.73% |
| Sep 30, 2009 | -319.94% |
| Jun 30, 2009 | -98.16% |
| Mar 31, 2009 | -294.61% |
Federal National Mortgage Association Fannie Mae EBITDA Margin 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=ebitda-margin&ticker=FNMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();