Repay Holdings (RPAY) Operating Expenses (2017 - 2025)
Repay Holdings (RPAY) posted Operating Expenses of $80.73 million for Q3 2025, up 1.1% from $79.82 million a year earlier but down 55.3% from the prior quarter.
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Analysis
Repay Holdings (RPAY) Operating Expenses (2017 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Repay Holdings was $421.65 million, up 6.5% year-over-year; for FY2024, it came in at $320.81 million, down 21.4% from FY2023.
- Annual Operating Expenses shows a five-year compound annual growth rate of 16.0% (FY2019 to FY2024).
- In prior years, Repay Holdings' Operating Expenses was $408.04 million in FY2023 (+25.0%), $326.43 million in FY2022 (+19.5%), $273.26 million in FY2021 (+46.1%) and $187.05 million in FY2020 (+22.4%).
- Quarterly Operating Expenses has run from a low of $50.27 million in Q4 2020 to a high of $180.53 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 17.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 130.5%; the weakest was Q4 2024, with a decline of 48.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $180.53 million (Q2 2025), $80.95 million (Q1 2025) and $79.44 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 7.26 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Repay Holdings | 306.61 Mn | -235.50 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 80.73 Mn |
| Jun 30, 2025 | 180.53 Mn |
| Mar 31, 2025 | 80.95 Mn |
| Dec 31, 2024 | 79.44 Mn |
| Sep 30, 2024 | 79.82 Mn |
| Jun 30, 2024 | 78.33 Mn |
| Mar 31, 2024 | 83.22 Mn |
| Dec 31, 2023 | 154.45 Mn |
| Sep 30, 2023 | 79.44 Mn |
| Jun 30, 2023 | 81.65 Mn |
| Mar 31, 2023 | 92.50 Mn |
| Dec 31, 2022 | 90.97 Mn |
| Sep 30, 2022 | 76.99 Mn |
| Jun 30, 2022 | 84.00 Mn |
| Mar 31, 2022 | 74.47 Mn |
| Dec 31, 2021 | 82.86 Mn |
| Sep 30, 2021 | 73.34 Mn |
| Jun 30, 2021 | 60.74 Mn |
| Mar 31, 2021 | 56.31 Mn |
| Dec 31, 2020 | 50.27 Mn |
API Access
Repay Holdings Operating 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=operating-expenses&ticker=RPAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RPAY", "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-expenses&ticker=RPAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();