Paycom Software (PAYC) Return on Sales [ROS] (2013 - 2026)
Paycom Software (PAYC) posted Return on Sales [ROS] of 31.72% for Q2 2026, up 8.50 percentage points from 23.22% a year earlier but down 5.03 percentage points from the prior quarter.
Powered by 
Analysis
Paycom Software (PAYC) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Paycom Software was 30.29%, up 2.19 percentage points year-over-year; for FY2025, it was 27.65%, down 6.04 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +5.53 percentage points (FY2020 to FY2025).
- In prior years, Paycom Software's Return on Sales [ROS] was 33.68% in FY2024 (+7.04 pp), 26.65% in FY2023 (-0.89 pp), 27.54% in FY2022 (+3.51 pp) and 24.02% in FY2021 (+1.90 pp).
- Quarterly Return on Sales [ROS] has run from a low of 16.90% in Q3 2021 to a high of 57.17% in Q1 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.89 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 21.65 percentage points; the weakest was Q1 2025, with a drop of 22.28 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 36.75% (Q1 2026), 28.86% (Q4 2025) and 22.83% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 10 | Paycom Software | 9.77 Bn | 8.68 Bn | 442.10 Mn | 31.72% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.72% |
| Mar 31, 2026 | 36.75% |
| Dec 31, 2025 | 28.86% |
| Sep 30, 2025 | 22.83% |
| Jun 30, 2025 | 23.22% |
| Mar 31, 2025 | 34.89% |
| Dec 31, 2024 | 30.07% |
| Sep 30, 2024 | 23.21% |
| Jun 30, 2024 | 21.74% |
| Mar 31, 2024 | 57.17% |
| Dec 31, 2023 | 24.55% |
| Sep 30, 2023 | 23.85% |
| Jun 30, 2023 | 21.75% |
| Mar 31, 2023 | 35.52% |
| Dec 31, 2022 | 28.56% |
| Sep 30, 2022 | 22.22% |
| Jun 30, 2022 | 22.82% |
| Mar 31, 2022 | 35.72% |
| Dec 31, 2021 | 24.08% |
| Sep 30, 2021 | 16.90% |
API Access
Paycom Software Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PAYC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PAYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();