Federal National Mortgage Association Fannie Mae (FNMFN) Price to Book (2012 - 2026)
Federal National Mortgage Association Fannie Mae's (FNMFN) Price to Book came in at 0.33 for Q2 2026, down 40.5% from 0.55 a year earlier and down 13.3% from the prior quarter.
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Analysis
Federal National Mortgage Association Fannie Mae (FNMFN) Price to Book (2012 - 2026) Analysis & Trends
For FY2025, Federal National Mortgage Association Fannie Mae's Price to Book stood at 0.58, up 184.1% from FY2024.
- Annual Price to Book has increased for three consecutive years.
- In prior years, Federal National Mortgage Association Fannie Mae's Price to Book was 0.20 in FY2024 (+151.6%), 0.08 in FY2023 (+137.2%), 0.03 in FY2022 (-66.5%) and 0.10 in FY2021 (-81.7%).
- The Q2 2026 figure stands as the lowest quarterly Price to Book since Q4 2024.
- On a year-over-year basis, Price to Book increased in seven of the last eight quarters, with growth averaging 228.8%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q3 2025, with growth of 776.4%; the weakest was Q2 2022, with a decline of 81.8%.
- According to Business Quant data, Price to Book for the three prior quarters was 0.38 (Q1 2026), 0.58 (Q4 2025) and 0.67 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.33 |
| Mar 31, 2026 | 0.38 |
| Dec 31, 2025 | 0.58 |
| Sep 30, 2025 | 0.67 |
| Jun 30, 2025 | 0.55 |
| Mar 31, 2025 | 0.38 |
| Dec 31, 2024 | 0.20 |
| Sep 30, 2024 | 0.08 |
| Jun 30, 2024 | 0.10 |
| Mar 31, 2024 | 0.11 |
| Dec 31, 2023 | 0.08 |
| Sep 30, 2023 | 0.05 |
| Jun 30, 2023 | 0.04 |
| Mar 31, 2023 | 0.04 |
| Dec 31, 2022 | 0.03 |
| Sep 30, 2022 | 0.05 |
| Jun 30, 2022 | 0.04 |
| Mar 31, 2022 | 0.09 |
| Dec 31, 2021 | 0.10 |
| Sep 30, 2021 | 0.12 |
API Access
Federal National Mortgage Association Fannie Mae Price to Book 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-book&ticker=FNMFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=FNMFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();