Cintas (CTAS) Gross Margin (2017 - 2026)
Cintas' Gross Margin was 51.54% in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.27 percentage points from 50.28% a year earlier and up 0.59 percentage points from the prior quarter.
Cintas (CTAS) Gross Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cintas' Gross Margin was 50.99% through Aug 31, 2026, up 0.89 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at 50.67%, up 0.63 percentage points from FY2025.
- Gross Margin has now increased for four consecutive fiscal years, with a five-year change of +4.09 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 50.04% in FY2025 (+1.21 pp), 48.83% in FY2024 (+1.49 pp), 47.34% in FY2023 (+1.10 pp) and 46.24% in FY2022 (-0.33 pp).
- The fiscal Q1 2027 figure marks the highest quarterly Gross Margin in data going back to fiscal Q1 2018.
- Compared with a year earlier, Gross Margin has increased for 16 straight quarters, with an average year-over-year change of +0.91 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q3 2024 (a gain of 2.15 percentage points); the worst was fiscal Q4 2022 (a drop of 1.19 percentage points).
- Per Business Quant data, CTAS's Gross Margin in the three fiscal quarters before Q1 2027 was 50.95% (Q4 2026), 50.98% (Q3 2026) and 50.45% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 151.06 Bn | 110.34 Bn | 6.13 Bn | 32.77% |
| 2 | Cintas | 89.67 Bn | 88.75 Bn | 1.55 Bn | 51.54% |
| 3 | Iron Mountain | 32.68 Bn | 31.87 Bn | 1.07 Bn | 52.76% |
| 4 | APi | 16.92 Bn | 13.96 Bn | 703.00 Mn | 31.19% |
| 5 | Rollins | 16.89 Bn | 16.44 Bn | 569.95 Mn | 52.84% |
| 6 | Gartner | 15.13 Bn | 8.83 Bn | 1.19 Bn | 70.95% |
| 7 | UL Solutions | 14.95 Bn | 13.71 Bn | 417.00 Mn | 51.10% |
| 8 | Aramark | 14.03 Bn | 11.98 Bn | 430.34 Mn | 8.51% |
| 9 | Rentokil Initial | 11.53 Bn | 5.04 Bn | - | - |
| 10 | Booz Allen Hamilton Holding | 9.27 Bn | 6.30 Bn | 1.46 Bn | 52.29% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 51.54% |
| May 31, 2026 | 50.95% |
| Feb 28, 2026 | 50.98% |
| Nov 30, 2025 | 50.45% |
| Aug 31, 2025 | 50.28% |
| May 31, 2025 | 49.71% |
| Feb 28, 2025 | 50.57% |
| Nov 30, 2024 | 49.84% |
| Aug 31, 2024 | 50.05% |
| May 31, 2024 | 49.19% |
| Feb 29, 2024 | 49.37% |
| Nov 30, 2023 | 48.02% |
| Aug 31, 2023 | 48.74% |
| May 31, 2023 | 47.66% |
| Feb 28, 2023 | 47.22% |
| Nov 30, 2022 | 47.01% |
| Aug 31, 2022 | 47.46% |
| May 31, 2022 | 45.61% |
| Feb 28, 2022 | 45.81% |
| Nov 30, 2021 | 46.05% |
Cintas Gross 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=gross-margin&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();