Paycom Software (PAYC) Operating Expenses (2013 - 2026)
Paycom Software's Operating Expenses was $362.7 million in Q2 2026, down 2.3% from $371.3 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Paycom Software (PAYC) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Paycom Software's Operating Expenses was $1.49 billion through Jun 30, 2026, up 5.9% year-over-year; for FY2025, it was $1.48 billion, up 18.9% from FY2024.
- Operating Expenses has now increased for 13 consecutive years, with a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.25 billion in FY2024 (+0.5%), $1.24 billion in FY2023 (+24.7%), $996.5 million in FY2022 (+24.3%) and $801.96 million in FY2021 (+22.4%).
- Quarterly Operating Expenses has moved between $212.89 million (Q3 2021) and $387.2 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 13.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2025 (growth of 61.3%); the worst was Q1 2024 (a decline of 26.5%).
- Per Business Quant data, PAYC's Operating Expenses in the three quarters before Q2 2026 was $361.7 million (Q1 2026), $387.2 million (Q4 2025) and $380.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Paycom Software | 9.77 Bn | 8.68 Bn | 442.10 Mn | 362.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 362.70 Mn |
| Mar 31, 2026 | 361.70 Mn |
| Dec 31, 2025 | 387.20 Mn |
| Sep 30, 2025 | 380.70 Mn |
| Jun 30, 2025 | 371.30 Mn |
| Mar 31, 2025 | 345.40 Mn |
| Dec 31, 2024 | 345.40 Mn |
| Sep 30, 2024 | 347.10 Mn |
| Jun 30, 2024 | 342.40 Mn |
| Mar 31, 2024 | 214.10 Mn |
| Dec 31, 2023 | 327.92 Mn |
| Sep 30, 2023 | 309.40 Mn |
| Jun 30, 2023 | 313.87 Mn |
| Mar 31, 2023 | 291.21 Mn |
| Dec 31, 2022 | 264.74 Mn |
| Sep 30, 2022 | 259.90 Mn |
| Jun 30, 2022 | 244.61 Mn |
| Mar 31, 2022 | 227.25 Mn |
| Dec 31, 2021 | 216.36 Mn |
| Sep 30, 2021 | 212.89 Mn |
API Access
Paycom Software 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=PAYC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PAYC", "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=PAYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();