Rego Payment Architectures (RPMT) Other Accumulated Expenses (2020 - 2023)
Rego Payment Architectures (RPMT) recorded Other Accumulated Expenses of $3.32 million in Q4 2023, compared with $2,610 a year earlier and unchanged from the prior quarter.
Rego Payment Architectures (RPMT) Other Accumulated Expenses (2020 - 2023) Analysis & Trends
Starting with Q4 2020, Rego Payment Architectures' Other Accumulated Expenses history includes 12 quarters.
- Annual Other Accumulated Expenses has a three-year compound annual growth rate of 125.4% (FY2020 to FY2023).
- Across earlier years, Other Accumulated Expenses came in at $2,610 in FY2022 (-98.2%), $141,522 in FY2021 (-51.1%) and $289,704 in FY2020.
- Per Business Quant, the preceding three quarters came in at $3.32 million (Q3 2023), $3.32 million (Q2 2023) and $3.32 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn |
| 10 | Rego Payment Architectures | 73.82 Mn | 71.79 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 3.32 Mn |
| Sep 30, 2023 | 3.32 Mn |
| Jun 30, 2023 | 3.32 Mn |
| Mar 31, 2023 | 3.32 Mn |
| Dec 31, 2022 | 2,610.00 |
| Sep 30, 2022 | 10,962.00 |
| Mar 31, 2022 | 9,808.00 |
| Dec 31, 2021 | 141,522.00 |
| Sep 30, 2021 | 169,599.00 |
| Jun 30, 2021 | 205,368.00 |
| Mar 31, 2021 | 229,380.00 |
| Dec 31, 2020 | 289,704.00 |
Rego Payment Architectures Other Accumulated Expenses 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=other-accumulated-expenses&ticker=RPMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=RPMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();