Federal Agricultural Mortgage Corp (AGM) Price to Earnings (2011 - 2026)
Federal Agricultural Mortgage's Price to Earnings came in at 10.81 for Q2 2026, down 5.2% from 11.40 a year earlier but up 27.8% from the prior quarter.
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Analysis
Federal Agricultural Mortgage Corp (AGM) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Federal Agricultural Mortgage's Price to Earnings was 10.45, down 12.1% from FY2024.
- Going back by year, Price to Earnings was 11.89 in FY2024 (-0.9%), 12.00 in FY2023 (+48.8%), 8.06 in FY2022 (-32.7%) and 11.98 in FY2021 (+42.6%).
- The five-year range for quarterly Price to Earnings is 7.57 (Q3 2022) to 12.24 (Q4 2021).
- Year-over-year, Price to Earnings has declined for four consecutive quarters, with an average decline of 5.5% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in Q4 2023 (growth of 48.8%), and the weakest in Q4 2022 (a decline of 34.1%).
- Business Quant data shows AGM's Price to Earnings at 8.46 (Q1 2026), 10.45 (Q4 2025) and 9.53 (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 | 10.81 |
| Mar 31, 2026 | 8.46 |
| Dec 31, 2025 | 10.45 |
| Sep 30, 2025 | 9.53 |
| Jun 30, 2025 | 11.40 |
| Mar 31, 2025 | 11.55 |
| Dec 31, 2024 | 11.89 |
| Sep 30, 2024 | 11.97 |
| Jun 30, 2024 | 10.96 |
| Mar 31, 2024 | 11.92 |
| Dec 31, 2023 | 12.00 |
| Sep 30, 2023 | 9.92 |
| Jun 30, 2023 | 10.25 |
| Mar 31, 2023 | 9.83 |
| Dec 31, 2022 | 8.06 |
| Sep 30, 2022 | 7.57 |
| Jun 30, 2022 | 7.79 |
| Mar 31, 2022 | 9.31 |
| Dec 31, 2021 | 12.24 |
| Sep 30, 2021 | 9.98 |
API Access
Federal Agricultural Mortgage Corp 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=AGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "AGM", "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=AGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();