World Acceptance (WRLD) Price to Earnings (2010 - 2026)
World Acceptance's (WRLD) quarterly Price to Earnings came in at 170.76 in Q2 2026, down 69.9% year-over-year from 567.28 in Q2 2025, and up 887.87% quarter-over-quarter from 17.29 in Q1 2026.
World Acceptance (WRLD) Price to Earnings (2010 - 2026) Analysis & Trends
World Acceptance (WRLD) has reported Price to Earnings for 17 consecutive years, with 170.76 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 69.9% year-over-year to 170.76 in Q2 2026; TTM through Jun 2026 was 26.45, a 138.18% increase from a year earlier, with the FY2026 full-year figure at 18.18, up 138.58% from the prior year.
- Price to Earnings was 170.76 for Q2 2026 at World Acceptance, up from 17.29 in the prior quarter.
- Over five years, Price to Earnings peaked at 567.28 in Q2 2025 and troughed at 953.75 in Q3 2022.
- A 5-year average of 47.27 and a median of 39.22 in 2023 frame the typical range for Price to Earnings.
- The widest YoY moves for Price to Earnings: up 675.39% in 2025, down 1504.58% in 2025.
- Over 5 years, Price to Earnings stood at 70.76 in 2022, then sank by 32.77% to 47.57 in 2023, then grew by 2.82% to 48.91 in 2024, then sank by 1504.58% to 686.96 in 2025, then surged by 124.86% to 170.76 in 2026.
- The last three Price to Earnings figures came in at 170.76 (Q2 2026), 17.29 (Q1 2026), and 686.96 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Synchrony Financial | 24.38 Bn | 8.19 Bn | - |
| 2 | Affirm Holdings | 24.01 Bn | 22.38 Bn | - |
| 3 | FirstCash Holdings | 9.50 Bn | 9.33 Bn | 533.67 Mn |
| 4 | Credit Acceptance | 6.00 Bn | 5.51 Bn | 569.30 Mn |
| 5 | Slm | 4.72 Bn | -77.52 Mn | - |
| 6 | Enova International | 4.35 Bn | 4.22 Bn | 568.07 Mn |
| 7 | Bread Financial Holdings | 4.20 Bn | -15.89 Bn | 957.00 Mn |
| 8 | StoneCo | 2.99 Bn | 1.38 Bn | 308.97 Mn |
| 9 | Ezcorp | 1.88 Bn | 1.57 Bn | 246.19 Mn |
| 10 | World Acceptance | 848.56 Mn | 838.14 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.76 |
| Mar 31, 2026 | 17.29 |
| Dec 31, 2025 | -686.96 |
| Sep 30, 2025 | -419.19 |
| Jun 30, 2025 | 567.28 |
| Mar 31, 2025 | 15.45 |
| Dec 31, 2024 | 48.91 |
| Sep 30, 2024 | 30.88 |
| Jun 30, 2024 | 73.16 |
| Mar 31, 2024 | 24.84 |
| Dec 31, 2023 | 47.57 |
| Sep 30, 2023 | 49.35 |
| Jun 30, 2023 | 87.68 |
| Mar 31, 2023 | 21.07 |
| Dec 31, 2022 | 70.76 |
| Sep 30, 2022 | -953.75 |
| Jun 30, 2022 | -82.29 |
| Mar 31, 2022 | 66.25 |
| Dec 31, 2021 | 222.33 |
| Sep 30, 2021 | 102.47 |
World Acceptance 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=WRLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=WRLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();