Rego Payment Architectures (RPMT) Total Liabilities (2010 - 2026)
Rego Payment Architectures' Total Liabilities was $53.18 million in Q2 2026, up 18.0% from $45.07 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Rego Payment Architectures (RPMT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Rego Payment Architectures came in at $48.39 million, up 17.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $41.11 million in FY2024 (+8.2%), $37.99 million in FY2023 (-5.9%), $40.36 million in FY2022 (+22.6%) and $32.91 million in FY2021 (+21.2%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for ten straight quarters, with growth averaging 14.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 22.6%); the worst was Q4 2023 (a decline of 5.9%).
- Per Business Quant data, RPMT's Total Liabilities in the three quarters before Q2 2026 was $50.79 million (Q1 2026), $48.39 million (Q4 2025) and $47.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 53.33 Bn | 25.10 Bn | 3.24 Bn | 18.33 Bn |
| 2 | PayPal Holdings | 51.14 Bn | 9.84 Bn | - | 62.14 Bn |
| 3 | Coinbase Global | 36.41 Bn | -3.23 Bn | - | 13.45 Bn |
| 4 | Fiserv | 33.87 Bn | 31.07 Bn | 2.76 Bn | 51.50 Bn |
| 5 | Corpay | 29.95 Bn | 18.77 Bn | - | 24.74 Bn |
| 6 | Global Payments | 26.11 Bn | 935.39 Mn | 2.01 Bn | 38.65 Bn |
| 7 | Guidewire Software | 13.46 Bn | 10.02 Bn | 269.68 Mn | 1.38 Bn |
| 8 | Chime Financial | 12.62 Bn | 8.31 Bn | 646.07 Mn | 665.27 Mn |
| 9 | Jack Henry & Associates | 12.36 Bn | 12.27 Bn | 273.85 Mn | 1.09 Bn |
| 10 | Rego Payment Architectures | 51.95 Mn | 49.91 Mn | - | 53.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.18 Mn |
| Mar 31, 2026 | 50.79 Mn |
| Dec 31, 2025 | 48.39 Mn |
| Sep 30, 2025 | 47.07 Mn |
| Jun 30, 2025 | 45.07 Mn |
| Mar 31, 2025 | 42.01 Mn |
| Dec 31, 2024 | 41.11 Mn |
| Sep 30, 2024 | 40.16 Mn |
| Jun 30, 2024 | 39.24 Mn |
| Mar 31, 2024 | 38.48 Mn |
| Dec 31, 2023 | 37.99 Mn |
| Sep 30, 2023 | 37.26 Mn |
| Jun 30, 2023 | 36.39 Mn |
| Mar 31, 2023 | 35.62 Mn |
| Dec 31, 2022 | 40.36 Mn |
| Sep 30, 2022 | 37.25 Mn |
| Jun 30, 2022 | 34.16 Mn |
| Mar 31, 2022 | 33.53 Mn |
| Dec 31, 2021 | 32.91 Mn |
| Sep 30, 2021 | 32.36 Mn |
API Access
Rego Payment Architectures Total Liabilities 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=total-liabilities&ticker=RPMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RPMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=RPMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();