Cintas (CTAS) Return on Assets [ROA] (2010 - 2026)
Cintas (CTAS) posted Return on Assets [ROA] of 19.46% for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 0.62 percentage points from 18.83% a year earlier and up 0.19 percentage points from the prior quarter.
Cintas (CTAS) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Return on Assets [ROA] came in at 19.65%, up 0.57 percentage points from FY2025.
- Annual Return on Assets [ROA] has increased for six consecutive fiscal years, with a five-year change of +5.68 percentage points (FY2021 to FY2026).
- In prior fiscal years, Cintas' Return on Assets [ROA] was 19.08% in FY2025 (+1.34 pp), 17.74% in FY2024 (+1.59 pp), 16.15% in FY2023 (+1.07 pp) and 15.08% in FY2022 (+1.12 pp).
- The fiscal Q1 2027 figure stands as the highest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2011.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last 22 quarters, with an average year-over-year change of +1.03 percentage points over the last eight quarters.
- The year-over-year gain in Return on Assets [ROA] has ranged between 0.28 percentage points (fiscal Q3 2026) and 3.18 percentage points (fiscal Q3 2022) over the last five years.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was 19.26% (Q4 2026), 19.02% (Q3 2026) and 19.01% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 11.69% |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 19.46% |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 2.00% |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 15.67% |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 3.66% |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 17.39% |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 10.44% |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 2.76% |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Booz Allen Hamilton Holding | 9.44 Bn | 6.48 Bn | 1.46 Bn | 10.56% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 19.46% |
| May 31, 2026 | 19.26% |
| Feb 28, 2026 | 19.02% |
| Nov 30, 2025 | 19.01% |
| Aug 31, 2025 | 18.83% |
| May 31, 2025 | 18.65% |
| Feb 28, 2025 | 18.74% |
| Nov 30, 2024 | 18.58% |
| Aug 31, 2024 | 17.97% |
| May 31, 2024 | 17.32% |
| Feb 29, 2024 | 16.90% |
| Nov 30, 2023 | 16.33% |
| Aug 31, 2023 | 16.00% |
| May 31, 2023 | 15.85% |
| Feb 28, 2023 | 15.35% |
| Nov 30, 2022 | 15.41% |
| Aug 31, 2022 | 15.31% |
| May 31, 2022 | 15.15% |
| Feb 28, 2022 | 14.94% |
| Nov 30, 2021 | 14.51% |
Cintas Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();