Cintas (CTAS) Return on Capital Employed [ROCE] (2010 - 2026)
Cintas (CTAS) reported Return on Capital Employed [ROCE] of 33.88% for fiscal Q4 2026 (quarter ended May 31, 2026), up 4.65 percentage points from 29.23% a year earlier and up 3.62 percentage points from the prior quarter.
Cintas (CTAS) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas posted Return on Capital Employed [ROCE] of 34.80%, up 4.75 percentage points from FY2025.
- Return on Capital Employed [ROCE] has increased for six consecutive fiscal years, with a five-year change of +11.78 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 30.05% in FY2025 (+0.62 pp), 29.43% in FY2024 (+4.10 pp), 25.33% in FY2023 (+1.85 pp) and 23.48% in FY2022 (+0.47 pp).
- The fiscal Q4 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q1 2011.
- Year over year, Return on Capital Employed [ROCE] gained in six of the last eight quarters, with an average year-over-year change of +2.37 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q3 2022 (a gain of 10.80 percentage points); the low point was fiscal Q3 2023 (a drop of 3.55 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 30.25% (Q3 2026), 31.37% (Q2 2026) and 29.03% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 20.12% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 33.88% |
| Feb 28, 2026 | 30.25% |
| Nov 30, 2025 | 31.37% |
| Aug 31, 2025 | 29.03% |
| May 31, 2025 | 29.23% |
| Feb 28, 2025 | 30.60% |
| Nov 30, 2024 | 30.80% |
| Aug 31, 2024 | 29.85% |
| May 31, 2024 | 28.55% |
| Feb 29, 2024 | 26.13% |
| Nov 30, 2023 | 25.88% |
| Aug 31, 2023 | 24.96% |
| May 31, 2023 | 24.78% |
| Feb 28, 2023 | 24.60% |
| Nov 30, 2022 | 24.99% |
| Aug 31, 2022 | 24.73% |
| May 31, 2022 | 23.60% |
| Feb 28, 2022 | 28.14% |
| Nov 30, 2021 | 25.32% |
| Aug 31, 2021 | 24.75% |
Cintas Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();