Paylocity Holding (PCTY) Return on Sales [ROS] (2013 - 2026)
Paylocity Holding (PCTY) recorded Return on Sales [ROS] of 18.98% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.46 percentage points from 16.53% a year earlier but down 12.27 percentage points from the prior quarter.
Paylocity Holding (PCTY) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Paylocity Holding reported Return on Sales [ROS] of 21.79%, up 2.73 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for five straight fiscal years, with a five-year change of +12.66 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 19.06% in FY2025 (+0.51 pp), 18.54% in FY2024 (+5.35 pp), 13.20% in FY2023 (+3.28 pp) and 9.92% in FY2022 (+0.79 pp).
- Quarterly Return on Sales [ROS] has ranged from 2.80% in fiscal Q1 2023 to 31.25% in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +1.63 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 10.17 percentage points in fiscal Q1 2024, against a drop of 2.86 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 31.25% (Q3 2026), 16.91% (Q2 2026) and 18.18% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Paylocity Holding | 7.70 Bn | 6.80 Bn | 300.38 Mn | 18.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.98% |
| Mar 31, 2026 | 31.25% |
| Dec 31, 2025 | 16.91% |
| Sep 30, 2025 | 18.18% |
| Jun 30, 2025 | 16.53% |
| Mar 31, 2025 | 27.95% |
| Dec 31, 2024 | 12.37% |
| Sep 30, 2024 | 17.67% |
| Jun 30, 2024 | 17.61% |
| Mar 31, 2024 | 26.49% |
| Dec 31, 2023 | 15.23% |
| Sep 30, 2023 | 12.97% |
| Jun 30, 2023 | 16.00% |
| Mar 31, 2023 | 23.65% |
| Dec 31, 2022 | 6.67% |
| Sep 30, 2022 | 2.80% |
| Jun 30, 2022 | 8.22% |
| Mar 31, 2022 | 19.26% |
| Dec 31, 2021 | 4.15% |
| Sep 30, 2021 | 5.64% |
Paylocity Holding 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=PCTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PCTY", "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=PCTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();