Regional Management (RM) Price to Book (2012 - 2026)
Regional Management's (RM) quarterly Price to Book came in at 1.02 in Q2 2026, up 26.87% year-over-year from 0.8 in Q2 2025, and up 26.94% quarter-over-quarter from 0.8 in Q1 2026.
Regional Management (RM) Price to Book (2012 - 2026) Analysis & Trends
Regional Management (RM) has reported Price to Book for 13 consecutive years, with 1.02 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book rose 26.87% year-over-year to 1.02 in Q2 2026; TTM through Jun 2026 was 1.02, a 26.87% increase from a year earlier, with the FY2025 full-year figure at 0.99, up 4.17% from the prior year.
- Price to Book was 1.02 for Q2 2026 at Regional Management, up from 0.8 in the prior quarter.
- Over five years, Price to Book peaked at 1.59 in Q1 2022 and troughed at 0.71 in Q1 2024.
- A 5-year average of 0.93 and a median of 0.87 in 2022 frame the typical range for Price to Book.
- Across the five-year window, Price to Book slumped 58.48% in 2022 and advanced 26.87% in 2026, its largest moves.
- Over 5 years, Price to Book stood at 0.87 in 2022, then slipped by 12.34% to 0.76 in 2023, then advanced by 25.43% to 0.95 in 2024, then rose by 4.17% to 0.99 in 2025, then gained by 2.5% to 1.02 in 2026.
- The last three Price to Book figures came in at 1.02 (Q2 2026), 0.8 (Q1 2026), and 0.99 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Affirm Holdings | 24.20 Bn | 22.57 Bn | - |
| 2 | Synchrony Financial | 23.63 Bn | 7.43 Bn | - |
| 3 | FirstCash Holdings | 9.58 Bn | 9.41 Bn | 533.67 Mn |
| 4 | Credit Acceptance | 5.83 Bn | 5.34 Bn | 569.30 Mn |
| 5 | Slm | 4.56 Bn | -237.27 Mn | - |
| 6 | Enova International | 4.20 Bn | 4.08 Bn | 568.07 Mn |
| 7 | Bread Financial Holdings | 3.98 Bn | -16.10 Bn | 957.00 Mn |
| 8 | StoneCo | 3.10 Bn | 1.48 Bn | 308.97 Mn |
| 9 | Ezcorp | 1.89 Bn | 1.58 Bn | 246.19 Mn |
| 10 | Regional Management | 292.53 Mn | 171.22 Mn | 163.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 |
| Mar 31, 2026 | 0.80 |
| Dec 31, 2025 | 0.99 |
| Sep 30, 2025 | 1.03 |
| Jun 30, 2025 | 0.80 |
| Mar 31, 2025 | 0.85 |
| Dec 31, 2024 | 0.95 |
| Sep 30, 2024 | 0.94 |
| Jun 30, 2024 | 0.85 |
| Mar 31, 2024 | 0.71 |
| Dec 31, 2023 | 0.76 |
| Sep 30, 2023 | 0.82 |
| Jun 30, 2023 | 0.93 |
| Mar 31, 2023 | 0.79 |
| Dec 31, 2022 | 0.87 |
| Sep 30, 2022 | 0.87 |
| Jun 30, 2022 | 1.20 |
| Mar 31, 2022 | 1.59 |
| Dec 31, 2021 | 1.99 |
| Sep 30, 2021 | 2.10 |
Regional Management Price to Book 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-book&ticker=RM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=RM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();