Federal National Mortgage Association Fannie Mae (FNMFN) Price to Earnings (2012 - 2026)
Federal National Mortgage Association Fannie Mae's Price to Earnings came in at 168.26 for Q2 2026, down 73.1% from the prior quarter.
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Analysis
Federal National Mortgage Association Fannie Mae (FNMFN) Price to Earnings (2012 - 2026) Analysis & Trends
For FY2025, Federal National Mortgage Association Fannie Mae's Price to Earnings was 6994.77, up 9.0% from FY2024.
- Price to Earnings has increased in each of the last three years.
- Going back by year, 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 Q2 2026 figure represents the lowest quarterly Price to Earnings since Q3 2022.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2023 (growth of 277.6%), and the weakest in Q4 2021 (a decline of 93.4%).
- Business Quant data shows FNMFN's Price to Earnings at 626.39 (Q1 2026), 6994.77 (Q4 2025) and 5891.45 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2020 | 153.39 |
API Access
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=FNMFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "FNMFN", "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=FNMFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();