Paycom Software (PAYC) Cost of Revenue (2013 - 2026)
Paycom Software (PAYC) recorded Cost of Revenue of $89.1 million in Q2 2026, up 1.8% from $87.5 million a year earlier and up 2.1% from the prior quarter.
Paycom Software (PAYC) Cost of Revenue (2013 - 2026) Analysis & Trends
On a TTM basis, Paycom Software's Cost of Revenue came in at $349.6 million as of Jun 30, 2026, up 1.6% year-over-year; for FY2025, it came in at $345.4 million, up 3.2% from FY2024.
- Annual Cost of Revenue has increased for 13 straight years, with a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $334.6 million in FY2024 (+21.1%), $276.3 million in FY2023 (+29.9%), $212.7 million in FY2022 (+31.4%) and $161.89 million in FY2021 (+31.0%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue in data going back to Q1 2013.
- On a year-over-year basis, Cost of Revenue has increased for three consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 40.9% in Q4 2021, against a decline of 3.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $87.3 million (Q1 2026), $87.8 million (Q4 2025) and $85.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Paycom Software | 9.79 Bn | 8.70 Bn | 442.10 Mn | 89.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.10 Mn |
| Mar 31, 2026 | 87.30 Mn |
| Dec 31, 2025 | 87.80 Mn |
| Sep 30, 2025 | 85.40 Mn |
| Jun 30, 2025 | 87.50 Mn |
| Mar 31, 2025 | 84.60 Mn |
| Dec 31, 2024 | 83.70 Mn |
| Sep 30, 2024 | 88.40 Mn |
| Jun 30, 2024 | 83.90 Mn |
| Mar 31, 2024 | 78.70 Mn |
| Dec 31, 2023 | 74.70 Mn |
| Sep 30, 2023 | 68.94 Mn |
| Jun 30, 2023 | 67.43 Mn |
| Mar 31, 2023 | 65.23 Mn |
| Dec 31, 2022 | 59.03 Mn |
| Sep 30, 2022 | 55.10 Mn |
| Jun 30, 2022 | 50.08 Mn |
| Mar 31, 2022 | 48.48 Mn |
| Dec 31, 2021 | 46.52 Mn |
| Sep 30, 2021 | 42.68 Mn |
Paycom Software Cost of Revenue 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=cost-of-revenue&ticker=PAYC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PAYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();