Federal Agricultural Mortgage (AGM) Provision for Credit Losses (2011 - 2026)
Federal Agricultural Mortgage's Provision for Credit Losses came in at $7.04 million for Q2 2026, down 8.7% from $7.71 million a year earlier but up 63.4% from the prior quarter.
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Analysis
Federal Agricultural Mortgage (AGM) Provision for Credit Losses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Federal Agricultural Mortgage reported Provision for Credit Losses of $34.82 million, up 108.9% year-over-year; for FY2025, it was $32.91 million, up 184.2% from FY2024.
- Provision for Credit Losses carries a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was $11.58 million in FY2024 (+919.3%), $1.14 million in FY2023 (-14.1%), $1.32 million in FY2022 and -$2.19 million in FY2021.
- The five-year range for quarterly Provision for Credit Losses is -$1.87 million (Q1 2024) to $15.99 million (Q4 2025).
- Year-over-year, Provision for Credit Losses increased in four of the last five quarters, with growth averaging 120.8%.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q2 2024 (growth of 475.9%), and the weakest in Q3 2021 (a decline of 44.0%).
- Business Quant data shows AGM's Provision for Credit Losses at $4.31 million (Q1 2026), $15.99 million (Q4 2025) and $7.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 42.82 Bn | 31.64 Bn | - | - |
| 2 | Orix | 38.85 Bn | 7.58 Bn | 12.74 Bn | -3.38 Mn |
| 3 | Royalty Pharma | 30.02 Bn | 27.40 Bn | - | -88.32 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.05 Bn | 26.05 Bn | - | 1.14 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 | - | 7.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.04 Mn |
| Mar 31, 2026 | 4.31 Mn |
| Dec 31, 2025 | 15.99 Mn |
| Sep 30, 2025 | 7.48 Mn |
| Jun 30, 2025 | 7.71 Mn |
| Mar 31, 2025 | 1.75 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 3.43 Mn |
| Jun 30, 2024 | 6.18 Mn |
| Mar 31, 2024 | -1.87 Mn |
| Dec 31, 2023 | -626,000.00 |
| Sep 30, 2023 | -136,000.00 |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 750,000.00 |
| Dec 31, 2022 | 2.02 Mn |
| Sep 30, 2022 | 617,000.00 |
| Jun 30, 2022 | -1.37 Mn |
| Mar 31, 2022 | -110,000.00 |
| Dec 31, 2021 | -1.43 Mn |
| Sep 30, 2021 | 366,000.00 |
API Access
Federal Agricultural Mortgage Provision for Credit 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-credit-losses&ticker=AGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=AGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();