Cintas (CTAS) Return on Sales [ROS] (2009 - 2026)
Cintas (CTAS) recorded Return on Sales [ROS] of 23.17% in fiscal Q4 2026 (quarter ended May 31, 2026), up 0.77 percentage points from 22.40% a year earlier but down 0.06 percentage points from the prior quarter.
Cintas (CTAS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas reported Return on Sales [ROS] of 23.14%, up 0.32 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for six straight fiscal years, with a five-year change of +3.67 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 22.82% in FY2025 (+1.27 pp), 21.56% in FY2024 (+1.11 pp), 20.45% in FY2023 (+0.24 pp) and 20.21% in FY2022 (+0.74 pp).
- Quarterly Return on Sales [ROS] has ranged from 19.49% in fiscal Q4 2022 to 23.42% in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +0.79 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2.42 percentage points in fiscal Q3 2022, against a drop of 0.46 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 23.22% (Q3 2026), 23.42% (Q2 2026) and 22.73% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 12.07% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 23.17% |
| Feb 28, 2026 | 23.22% |
| Nov 30, 2025 | 23.42% |
| Aug 31, 2025 | 22.73% |
| May 31, 2025 | 22.40% |
| Feb 28, 2025 | 23.37% |
| Nov 30, 2024 | 23.09% |
| Aug 31, 2024 | 22.43% |
| May 31, 2024 | 22.16% |
| Feb 29, 2024 | 21.64% |
| Nov 30, 2023 | 21.02% |
| Aug 31, 2023 | 21.37% |
| May 31, 2023 | 20.61% |
| Feb 28, 2023 | 20.40% |
| Nov 30, 2022 | 20.46% |
| Aug 31, 2022 | 20.32% |
| May 31, 2022 | 19.49% |
| Feb 28, 2022 | 20.79% |
| Nov 30, 2021 | 19.83% |
| Aug 31, 2021 | 20.78% |
Cintas 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=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CTAS", "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=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();