Cintas (CTAS) Operating Margin (2009 - 2026)
Cintas (CTAS) reported Operating Margin of 23.62% for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 0.89 percentage points from 22.73% a year earlier and up 0.45 percentage points from the prior quarter.
Cintas (CTAS) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Cintas' Operating Margin came in at 23.36%, up 0.47 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was 23.14%, up 0.32 percentage points from FY2025.
- Operating Margin has increased for six consecutive fiscal years, with a five-year change of +3.67 percentage points (FY2021 to FY2026).
- By fiscal year, Operating Margin 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).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Margin in data going back to fiscal Q1 2010.
- Year over year, Operating Margin gained in seven of the last eight quarters, with an average year-over-year change of +0.77 percentage points.
- The high point for year-over-year Operating Margin in five years was fiscal Q3 2022 (a gain of 2.42 percentage points); the low point was fiscal Q1 2023 (a drop of 0.46 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 23.17% (Q4 2026), 23.22% (Q3 2026) and 23.42% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 18.67% |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 18.38% |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 4.26% |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Tetra Tech | 9.05 Bn | 8.16 Bn | 243.21 Mn | 12.07% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 23.62% |
| 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% |
Cintas Operating Margin 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-margin&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();