Regional Management (RM) Operating Leases (2019 - 2026)
Regional Management's (RM) quarterly Operating Leases came in at $47.2 million in Q2 2026, up 5.52% year-over-year from $44.8 million in Q2 2025, and up 1.98% quarter-over-quarter from $46.3 million in Q1 2026.
Regional Management (RM) Operating Leases (2019 - 2026) Analysis & Trends
Regional Management (RM) has reported Operating Leases for 8 consecutive years, with $47.2 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Leases rose 5.52% year-over-year to $47.2 million in Q2 2026; TTM through Jun 2026 was $47.2 million, a 5.52% increase from a year earlier, with the FY2025 full-year figure at $46.0 million, up 13.28% from the prior year.
- Operating Leases was $47.2 million for Q2 2026 at Regional Management, up from $46.3 million in the prior quarter.
- Over five years, Operating Leases peaked at $47.2 million in Q2 2026 and troughed at $30.3 million in Q1 2022.
- A 5-year average of $39.0 million and a median of $37.2 million in 2023 frame the typical range for Operating Leases.
- Across the five-year window, Operating Leases climbed 22.0% in 2023 and slipped 3.32% in 2024, its largest moves.
- Over 5 years, Operating Leases stood at $36.7 million in 2022, then declined by 0.37% to $36.6 million in 2023, then increased by 10.94% to $40.6 million in 2024, then gained by 13.28% to $46.0 million in 2025, then advanced by 2.77% to $47.2 million in 2026.
- The last three Operating Leases figures came in at $47.2 million (Q2 2026), $46.3 million (Q1 2026), and $46.0 million (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 | 47.24 Mn |
| Mar 31, 2026 | 46.32 Mn |
| Dec 31, 2025 | 45.97 Mn |
| Sep 30, 2025 | 42.91 Mn |
| Jun 30, 2025 | 44.77 Mn |
| Mar 31, 2025 | 42.79 Mn |
| Dec 31, 2024 | 40.58 Mn |
| Sep 30, 2024 | 39.35 Mn |
| Jun 30, 2024 | 37.29 Mn |
| Mar 31, 2024 | 35.68 Mn |
| Dec 31, 2023 | 36.58 Mn |
| Sep 30, 2023 | 37.10 Mn |
| Jun 30, 2023 | 37.15 Mn |
| Mar 31, 2023 | 36.91 Mn |
| Dec 31, 2022 | 36.71 Mn |
| Sep 30, 2022 | 32.47 Mn |
| Jun 30, 2022 | 31.12 Mn |
| Mar 31, 2022 | 30.25 Mn |
| Dec 31, 2021 | 30.70 Mn |
| Sep 30, 2021 | 31.29 Mn |
Regional Management Operating Leases 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=operating-leases&ticker=RM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();