Federal National Mortgage Association Fannie Mae (FNMFO) Price to Earnings (2012 - 2026)
Federal National Mortgage Association Fannie Mae's Price to Earnings was 19.51 in Q3 2026, down 99.7% from 5891.45 a year earlier and down 88.4% from the prior quarter.
Federal National Mortgage Association Fannie Mae (FNMFO) Price to Earnings (2012 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Federal National Mortgage Association Fannie Mae came in at 6994.77, up 9.0% from FY2024.
- Price to Earnings has now increased for three consecutive years.
- In earlier years, Price to Earnings was 6414.59 in FY2024 (+206.5%), 2092.56 in FY2023 (+205.7%), 684.48 in FY2022 and 61.68 in FY2021 (-93.4%).
- The Q3 2026 figure marks the lowest quarterly Price to Earnings since Q4 2018.
- Compared with a year earlier, Price to Earnings was higher in two of the last four quarters, with growth averaging 9.5%.
- The best year-over-year quarter for Price to Earnings over five years was Q3 2023 (growth of 277.6%); the worst was Q3 2026 (a decline of 99.7%).
- Per Business Quant data, FNMFO's Price to Earnings in the three quarters before Q3 2026 was 168.26 (Q2 2026), 626.39 (Q1 2026) and 6994.77 (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.51 |
| Jun 30, 2026 | 168.26 |
| Mar 31, 2026 | 626.39 |
| Dec 31, 2025 | 6,994.77 |
| Sep 30, 2025 | 5,891.45 |
| Mar 31, 2025 | 2,852.26 |
| Dec 31, 2024 | 6,414.59 |
| Jun 30, 2024 | 1,198.54 |
| Dec 31, 2023 | 2,092.56 |
| Sep 30, 2023 | 606.26 |
| Dec 31, 2022 | 684.48 |
| Sep 30, 2022 | 160.57 |
| Jun 30, 2022 | 84.09 |
| Mar 31, 2022 | 79.91 |
| Dec 31, 2021 | 61.68 |
| Sep 30, 2021 | 64.00 |
| Jun 30, 2021 | 120.43 |
| Mar 31, 2021 | 213.06 |
| Dec 31, 2020 | 934.81 |
| Sep 30, 2020 | 107.74 |
Federal National Mortgage Association Fannie Mae Price to Earnings 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=price-to-earnings&ticker=FNMFO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "FNMFO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=FNMFO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();