Regional Management (RM) EBT (2011 - 2026)
Regional Management's (RM) quarterly EBT came in at $10.6 million in Q2 2026, down 21.66% year-over-year from $13.5 million in Q2 2025, and down 28.8% quarter-over-quarter from $14.8 million in Q1 2026.
Regional Management (RM) EBT (2011 - 2026) Analysis & Trends
Regional Management (RM) has reported EBT for 16 consecutive years, with $10.6 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBT fell 21.66% year-over-year to $10.6 million in Q2 2026; TTM through Jun 2026 was $60.5 million, a 32.84% increase from a year earlier, with the FY2025 full-year figure at $57.8 million, up 6.85% from the prior year.
- EBT was $10.6 million for Q2 2026 at Regional Management, down from $14.8 million in the prior quarter.
- Over five years, EBT peaked at $34.9 million in Q1 2022 and troughed at -$9.5 million in Q4 2023.
- A 5-year average of $12.4 million and a median of $12.2 million in 2023 frame the typical range for EBT.
- Across the five-year window, EBT sank 873.7% in 2023 and surged 233.81% in 2024, its largest moves.
- Over 5 years, EBT stood at $1.2 million in 2022, then slumped by 873.7% to -$9.5 million in 2023, then surged by 233.81% to $12.8 million in 2024, then gained by 26.68% to $16.2 million in 2025, then tumbled by 34.63% to $10.6 million in 2026.
- The last three EBT figures came in at $10.6 million (Q2 2026), $14.8 million (Q1 2026), and $16.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Synchrony Financial | 24.38 Bn | 8.19 Bn | - | 1.19 Bn |
| 2 | Affirm Holdings | 24.01 Bn | 22.38 Bn | - | 169.09 Mn |
| 3 | FirstCash Holdings | 9.50 Bn | 9.33 Bn | 533.67 Mn | 127.00 Mn |
| 4 | Credit Acceptance | 6.00 Bn | 5.51 Bn | 569.30 Mn | 168.60 Mn |
| 5 | Slm | 4.72 Bn | -77.52 Mn | - | 80.46 Mn |
| 6 | Enova International | 4.35 Bn | 4.22 Bn | 568.07 Mn | 140.11 Mn |
| 7 | Bread Financial Holdings | 4.20 Bn | -15.89 Bn | 957.00 Mn | 197.00 Mn |
| 8 | StoneCo | 2.99 Bn | 1.38 Bn | 308.97 Mn | 137.75 Mn |
| 9 | Ezcorp | 1.88 Bn | 1.57 Bn | 246.19 Mn | 52.01 Mn |
| 10 | Regional Management | 292.81 Mn | 171.50 Mn | 163.12 Mn | 10.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.56 Mn |
| Mar 31, 2026 | 14.84 Mn |
| Dec 31, 2025 | 16.16 Mn |
| Sep 30, 2025 | 18.97 Mn |
| Jun 30, 2025 | 13.48 Mn |
| Mar 31, 2025 | 9.16 Mn |
| Dec 31, 2024 | 12.76 Mn |
| Sep 30, 2024 | 10.17 Mn |
| Jun 30, 2024 | 11.22 Mn |
| Mar 31, 2024 | 19.93 Mn |
| Dec 31, 2023 | -9.53 Mn |
| Sep 30, 2023 | 10.90 Mn |
| Jun 30, 2023 | 7.81 Mn |
| Mar 31, 2023 | 11.61 Mn |
| Dec 31, 2022 | 1.23 Mn |
| Sep 30, 2022 | 13.35 Mn |
| Jun 30, 2022 | 15.79 Mn |
| Mar 31, 2022 | 34.95 Mn |
| Dec 31, 2021 | 25.35 Mn |
| Sep 30, 2021 | 28.80 Mn |
Regional Management EBT 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=ebt&ticker=RM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=RM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();