Federal Agricultural Mortgage (AGM) Provision for Losses (2013 - 2026)
Federal Agricultural Mortgage (AGM) posted Provision for Losses of $7.02 million for Q2 2026, down 9.0% from $7.71 million a year earlier but up 62.9% from the prior quarter.
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Analysis
Federal Agricultural Mortgage (AGM) Provision for Losses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Federal Agricultural Mortgage was $34.84 million, up 110.8% year-over-year; for FY2025, it came in at $32.91 million, up 186.4% from FY2024.
- Annual Provision for Losses has increased for three consecutive years, with a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- In prior years, Federal Agricultural Mortgage's Provision for Losses was $11.49 million in FY2024 (+911.4%), $1.14 million in FY2023 (+40.9%), $806,000 in FY2022 and -$2.19 million in FY2021.
- Quarterly Provision for Losses has run from a low of -$1.87 million in Q1 2024 to a high of $16.09 million in Q4 2025 over five years.
- On a year-over-year basis, Provision for Losses increased in four of the last five quarters, with growth averaging 122.8%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q2 2024, with growth of 445.5%; the weakest was Q3 2021, with a decline of 78.8%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $4.31 million (Q1 2026), $16.09 million (Q4 2025) and $7.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 42.82 Bn | 31.64 Bn | - | - |
| 2 | Orix | 38.85 Bn | 7.58 Bn | 12.74 Bn | - |
| 3 | Royalty Pharma | 30.02 Bn | 27.40 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.05 Bn | 26.05 Bn | - | - |
| 5 | Synchrony Financial | 23.55 Bn | -44.08 Bn | - | 1.27 Bn |
| 6 | Affirm Holdings | 23.27 Bn | 16.32 Bn | - | 259.36 Mn |
| 7 | Royal Gold | 22.53 Bn | 21.71 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 14.32 Bn | 5.27 Bn | - | - |
| 9 | Ares Capital | 13.77 Bn | 11.52 Bn | - | - |
| 10 | Federal Agricultural Mortgage | 1.95 Bn | -1.69 Bn | - | 7.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.02 Mn |
| Mar 31, 2026 | 4.31 Mn |
| Dec 31, 2025 | 16.09 Mn |
| Sep 30, 2025 | 7.43 Mn |
| Jun 30, 2025 | 7.71 Mn |
| Mar 31, 2025 | 1.68 Mn |
| Dec 31, 2024 | 3.87 Mn |
| Sep 30, 2024 | 3.26 Mn |
| Jun 30, 2024 | 6.23 Mn |
| Mar 31, 2024 | -1.87 Mn |
| Dec 31, 2023 | -575,000.00 |
| Sep 30, 2023 | -181,000.00 |
| Jun 30, 2023 | 1.14 Mn |
| Mar 31, 2023 | 750,000.00 |
| Dec 31, 2022 | 1.95 Mn |
| Sep 30, 2022 | 450,000.00 |
| Jun 30, 2022 | -1.54 Mn |
| Mar 31, 2022 | -54,000.00 |
| Dec 31, 2021 | -1.43 Mn |
| Sep 30, 2021 | 255,000.00 |
API Access
Federal Agricultural Mortgage Provision for Losses 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=provision-for-losses&ticker=AGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=AGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();