Federal National Mortgage Association Fannie Mae (FNMFN) Price to Sales (2009 - 2026)
Federal National Mortgage Association Fannie Mae's (FNMFN) Price to Sales was 1.31 for Q2 2026, down 29.6% from 1.86 a year earlier and down 10.7% from the prior quarter.
Powered by 
Analysis
Federal National Mortgage Association Fannie Mae (FNMFN) Price to Sales (2009 - 2026) Analysis & Trends
For FY2025, Price to Sales at Federal National Mortgage Association Fannie Mae was 2.16, up 245.5% from FY2024.
- Price to Sales has increased for three consecutive years.
- By year, Price to Sales came in at 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 Q2 2026 figure ranks as the lowest quarterly Price to Sales since Q1 2025.
- Year over year, Price to Sales gained in seven of the last eight quarters, with growth averaging 292.6%.
- The high point for year-over-year Price to Sales in five years was Q3 2025 (growth of 926.7%); the low point was Q4 2021 (a decline of 74.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 1.47 (Q1 2026), 2.16 (Q4 2025) and 2.35 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.31 |
| Mar 31, 2026 | 1.47 |
| Dec 31, 2025 | 2.16 |
| Sep 30, 2025 | 2.35 |
| 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 |
| Sep 30, 2021 | 0.16 |
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=FNMFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=FNMFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();