Regional Management (RM) Loans - Loss Allowance (2011 - 2026)
Regional Management's Loans - Loss Allowance came in at $230.8 million for Q3 2026, up 8.9% from $212 million a year earlier and up 3.0% from the prior quarter.
Regional Management (RM) Loans - Loss Allowance (2011 - 2026) Analysis & Trends
At the end of FY2025, Regional Management's Loans - Loss Allowance was $220.9 million, up 10.7% from FY2024.
- Loans - Loss Allowance has increased in each of the last ten years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Going back by year, Loans - Loss Allowance was $199.5 million in FY2024 (+6.5%), $187.4 million in FY2023 (+4.8%), $178.8 million in FY2022 (+12.2%) and $159.3 million in FY2021 (+6.2%).
- The Q3 2026 figure represents the highest quarterly Loans - Loss Allowance in data going back to Q1 2011.
- Year-over-year, Loans - Loss Allowance has increased for 21 consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- The year-over-year growth in Loans - Loss Allowance has ranged between 1.8% (Q1 2024) and 20.2% (Q2 2022) over the last five years.
- Business Quant data shows RM's Loans - Loss Allowance at $224 million (Q2 2026), $219.5 million (Q1 2026) and $220.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | - |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 9.42 Bn |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | - |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 10.34 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 636.12 Mn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | - |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | - |
| 10 | Regional Management | 323.93 Mn | 300.82 Mn | - | 230.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 230.80 Mn |
| Jun 30, 2026 | 224.00 Mn |
| Mar 31, 2026 | 219.50 Mn |
| Dec 31, 2025 | 220.90 Mn |
| Sep 30, 2025 | 212.00 Mn |
| Jun 30, 2025 | 202.80 Mn |
| Mar 31, 2025 | 199.10 Mn |
| Dec 31, 2024 | 199.50 Mn |
| Sep 30, 2024 | 192.10 Mn |
| Jun 30, 2024 | 185.40 Mn |
| Mar 31, 2024 | 187.10 Mn |
| Dec 31, 2023 | 187.40 Mn |
| Sep 30, 2023 | 184.90 Mn |
| Jun 30, 2023 | 181.40 Mn |
| Mar 31, 2023 | 183.80 Mn |
| Dec 31, 2022 | 178.80 Mn |
| Sep 30, 2022 | 179.80 Mn |
| Jun 30, 2022 | 167.50 Mn |
| Mar 31, 2022 | 158.80 Mn |
| Dec 31, 2021 | 159.30 Mn |
Regional Management Loans - Loss Allowance 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=loans-loss-allowance&ticker=RM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "ticker": "RM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=loans-loss-allowance&ticker=RM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();