Federal National Mortgage Association Fannie Mae (FNMAJ) Price to Sales (2009 - 2026)
Federal National Mortgage Association Fannie Mae's Price to Sales was 0.81 in Q3 2026, down 65.4% from 2.34 a year earlier and down 37.9% from the prior quarter.
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Analysis
Federal National Mortgage Association Fannie Mae (FNMAJ) Price to Sales (2009 - 2026) Analysis & Trends
For FY2025, Price to Sales at Federal National Mortgage Association Fannie Mae came in at 2.16, up 245.5% from FY2024.
- Price to Sales has now increased for three consecutive years.
- In earlier years, Price to Sales was 0.62 in FY2024 (+199.5%), 0.21 in FY2023 (+212.2%), 0.07 in FY2022 (-56.3%) and 0.15 in FY2021 (-74.1%).
- The Q3 2026 figure marks the lowest quarterly Price to Sales since Q4 2024.
- Compared with a year earlier, Price to Sales was higher in six of the last eight quarters, with growth averaging 272.9%.
- The best year-over-year quarter for Price to Sales over five years was Q3 2025 (growth of 922.5%); the worst was Q4 2021 (a decline of 74.1%).
- Per Business Quant data, FNMAJ's Price to Sales in the three quarters before Q3 2026 was 1.31 (Q2 2026), 1.46 (Q1 2026) and 2.16 (Q4 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.81 |
| Jun 30, 2026 | 1.31 |
| Mar 31, 2026 | 1.46 |
| Dec 31, 2025 | 2.16 |
| Sep 30, 2025 | 2.34 |
| Jun 30, 2025 | 1.86 |
| Mar 31, 2025 | 1.22 |
| Dec 31, 2024 | 0.62 |
| Sep 30, 2024 | 0.23 |
| Jun 30, 2024 | 0.27 |
| Mar 31, 2024 | 0.30 |
| Dec 31, 2023 | 0.21 |
| Sep 30, 2023 | 0.12 |
| Jun 30, 2023 | 0.09 |
| Mar 31, 2023 | 0.08 |
| Dec 31, 2022 | 0.07 |
| Sep 30, 2022 | 0.10 |
| Jun 30, 2022 | 0.08 |
| Mar 31, 2022 | 0.15 |
| Dec 31, 2021 | 0.15 |
API Access
Federal National Mortgage Association Fannie Mae Price to Sales 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-sales&ticker=FNMAJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "FNMAJ", "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-sales&ticker=FNMAJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();