Cintas (CTAS) Return on Equity [ROE] (2010 - 2026)
Cintas' Return on Equity [ROE] came in at 39.84% for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 0.62 percentage points from 39.22% a year earlier but down 0.45 percentage points from the prior quarter.
Cintas (CTAS) Return on Equity [ROE] (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Return on Equity [ROE] was 40.71%, up 0.45 percentage points from FY2025.
- Return on Equity [ROE] has increased in each of the last six fiscal years, with a five-year change of +8.62 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Equity [ROE] was 40.27% in FY2025 (+1.85 pp), 38.42% in FY2024 (+0.83 pp), 37.59% in FY2023 (+2.26 pp) and 35.33% in FY2022 (+3.23 pp).
- The five-year range for quarterly Return on Equity [ROE] is 33.52% (fiscal Q2 2022) to 41.91% (fiscal Q3 2026).
- Year-over-year, Return on Equity [ROE] has increased for four consecutive quarters, with an average year-over-year change of +1.90 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in fiscal Q3 2022 (a gain of 8.62 percentage points), and the weakest in fiscal Q1 2024 (a drop of 3.64 percentage points).
- Business Quant data shows CTAS's Return on Equity [ROE] at 40.29% (Q4 2026), 41.91% (Q3 2026) and 41.22% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 24.31% |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 39.84% |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | - |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 9.88% |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 37.83% |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 35.72% |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 11.50% |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Tetra Tech | 9.05 Bn | 8.16 Bn | 243.21 Mn | 23.50% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 39.84% |
| May 31, 2026 | 40.29% |
| Feb 28, 2026 | 41.91% |
| Nov 30, 2025 | 41.22% |
| Aug 31, 2025 | 39.22% |
| May 31, 2025 | 39.07% |
| Feb 28, 2025 | 40.03% |
| Nov 30, 2024 | 41.19% |
| Aug 31, 2024 | 39.30% |
| May 31, 2024 | 36.76% |
| Feb 29, 2024 | 36.54% |
| Nov 30, 2023 | 35.47% |
| Aug 31, 2023 | 34.79% |
| May 31, 2023 | 35.96% |
| Feb 28, 2023 | 36.70% |
| Nov 30, 2022 | 38.61% |
| Aug 31, 2022 | 38.43% |
| May 31, 2022 | 37.44% |
| Feb 28, 2022 | 35.26% |
| Nov 30, 2021 | 33.52% |
Cintas Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();