World Acceptance (WRLD) Provision for Losses (2010 - 2026)
World Acceptance (WRLD) reported Provision for Losses of $43.76 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 13.4% from $50.52 million a year earlier but up 18.8% from the prior quarter.
World Acceptance (WRLD) Provision for Losses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, World Acceptance's Provision for Losses came in at $181.84 million, up 4.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $188.6 million, up 11.5% from FY2025.
- Provision for Losses has a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- By fiscal year, Provision for Losses came in at $169.22 million in FY2025 (+7.8%), $156.97 million in FY2024 (-39.5%), $259.46 million in FY2023 (+39.3%) and $186.21 million in FY2022 (+115.9%).
- Five-year quarterly Provision for Losses spans a low of $29.28 million in fiscal Q4 2024 and a high of $85.82 million in fiscal Q1 2023.
- Year over year, Provision for Losses gained in seven of the last eight quarters, with growth averaging 8.7%.
- The high point for year-over-year Provision for Losses in five years was fiscal Q4 2022 (growth of 919.1%); the low point was fiscal Q1 2024 (a decline of 45.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $36.82 million (Q4 2026), $51.42 million (Q3 2026) and $49.84 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (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 | - | - |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | - |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 1.27 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 259.36 Mn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | - |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | - |
| 10 | World Acceptance | 650.31 Mn | 608.93 Mn | - | 43.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.76 Mn |
| Mar 31, 2026 | 36.82 Mn |
| Dec 31, 2025 | 51.42 Mn |
| Sep 30, 2025 | 49.84 Mn |
| Jun 30, 2025 | 50.52 Mn |
| Mar 31, 2025 | 33.02 Mn |
| Dec 31, 2024 | 44.10 Mn |
| Sep 30, 2024 | 46.67 Mn |
| Jun 30, 2024 | 45.42 Mn |
| Mar 31, 2024 | 29.28 Mn |
| Dec 31, 2023 | 40.63 Mn |
| Sep 30, 2023 | 40.46 Mn |
| Jun 30, 2023 | 46.60 Mn |
| Mar 31, 2023 | 45.41 Mn |
| Dec 31, 2022 | 59.61 Mn |
| Sep 30, 2022 | 68.62 Mn |
| Jun 30, 2022 | 85.82 Mn |
| Mar 31, 2022 | 57.44 Mn |
| Dec 31, 2021 | 56.46 Mn |
| Sep 30, 2021 | 42.04 Mn |
World Acceptance 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=WRLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "WRLD", "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=WRLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();