Rego Payment Architectures (RPMT) Change in Intangibles (2011 - 2023)
Rego Payment Architectures' Change in Intangibles came in at $11,215 for FY2023, down 2.1% from $11,451 in FY2022.
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Analysis
Rego Payment Architectures (RPMT) Change in Intangibles (2011 - 2023) Analysis & Trends
Going back to FY2011, Rego Payment Architectures' Change in Intangibles data covers 6 years.
- The FY2023 figure represents the lowest annual Change in Intangibles in data going back to FY2011.
- Per Business Quant, earlier years put Change in Intangibles at $11,451 in FY2022 (-86.1%) and $82,252 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 53.35 Bn | 25.13 Bn | 3.24 Bn | - |
| 2 | PayPal Holdings | 51.34 Bn | 10.04 Bn | - | - |
| 3 | Coinbase Global | 36.00 Bn | -3.64 Bn | - | - |
| 4 | Fiserv | 33.93 Bn | 31.13 Bn | 2.76 Bn | - |
| 5 | Corpay | 30.02 Bn | 18.84 Bn | - | - |
| 6 | Global Payments | 26.06 Bn | 879.81 Mn | 2.01 Bn | - |
| 7 | Guidewire Software | 13.58 Bn | 10.14 Bn | 269.68 Mn | 5.06 Mn |
| 8 | Chime Financial | 12.59 Bn | 8.28 Bn | 646.07 Mn | 349,000.00 |
| 9 | Jack Henry & Associates | 12.43 Bn | 12.34 Bn | 273.85 Mn | 44.24 Mn |
| 10 | Rego Payment Architectures | 51.95 Mn | 49.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 7,389.00 |
| Dec 31, 2022 | 830.00 |
| Sep 30, 2022 | -1,632.00 |
| Jun 30, 2022 | -89,193.00 |
| Mar 31, 2022 | 101,446.00 |
| Dec 31, 2021 | 41,056.00 |
| Sep 30, 2021 | -56,856.00 |
| Jun 30, 2014 | 43,428.00 |
| Mar 31, 2014 | 54,624.00 |
| Dec 31, 2013 | 143,919.00 |
| Sep 30, 2013 | 59,107.00 |
| Jun 30, 2013 | 110,841.00 |
| Mar 31, 2013 | 91,745.00 |
| Dec 31, 2012 | 98,151.00 |
| Sep 30, 2012 | 33,055.00 |
| Jun 30, 2012 | 90,376.00 |
| Mar 31, 2012 | 74,957.00 |
| Dec 31, 2011 | 38,456.00 |
| Sep 30, 2011 | 14,335.00 |
API Access
Rego Payment Architectures Change in Intangibles 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=change-in-intangibles&ticker=RPMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=RPMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();