Cintas (CTAS) EBIT (2009 - 2026)
Cintas (CTAS) recorded EBIT of $711.89 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 15.2% from $617.86 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Cintas (CTAS) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Cintas' EBIT came in at $2.7 billion as of Aug 31, 2026, up 11.8% year-over-year; for FY2026 (ended May 31, 2026), it was $2.61 billion, up 10.5% from FY2025.
- Annual EBIT has increased for 16 straight fiscal years, with a five-year compound annual growth rate of 13.5% (FY2021 to FY2026).
- Across earlier fiscal years, EBIT came in at $2.36 billion in FY2025 (+14.1%), $2.07 billion in FY2024 (+14.8%), $1.8 billion in FY2023 (+13.6%) and $1.59 billion in FY2022 (+14.6%).
- The fiscal Q1 2027 figure is the highest quarterly EBIT in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBIT has increased for 25 consecutive quarters, with growth averaging 12.7% over the last eight quarters.
- Across the past five years, year-over-year growth in EBIT ran from 8.0% in fiscal Q2 2022 to 24.9% in fiscal Q3 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $673.04 million (Q4 2026), $659.9 million (Q3 2026) and $655.71 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.62 Bn | 104.90 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 87.83 Bn | 86.91 Bn | 1.55 Bn | 711.89 Mn |
| 3 | Iron Mountain | 34.33 Bn | 33.52 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 17.40 Bn | 14.43 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Rollins | 16.18 Bn | 15.73 Bn | 569.95 Mn | 201.36 Mn |
| 6 | UL Solutions | 15.07 Bn | 13.82 Bn | 417.00 Mn | 150.00 Mn |
| 7 | Aramark | 14.61 Bn | 12.55 Bn | 430.34 Mn | 215.59 Mn |
| 8 | Gartner | 14.46 Bn | 8.15 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.60 Bn | 4.12 Bn | - | - |
| 10 | Tetra Tech | 9.06 Bn | 8.16 Bn | 243.21 Mn | 157.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 711.89 Mn |
| May 31, 2026 | 673.04 Mn |
| Feb 28, 2026 | 659.90 Mn |
| Nov 30, 2025 | 655.71 Mn |
| Aug 31, 2025 | 617.86 Mn |
| May 31, 2025 | 597.45 Mn |
| Feb 28, 2025 | 609.85 Mn |
| Nov 30, 2024 | 591.39 Mn |
| Aug 31, 2024 | 561.03 Mn |
| May 31, 2024 | 547.59 Mn |
| Feb 29, 2024 | 520.80 Mn |
| Nov 30, 2023 | 499.68 Mn |
| Aug 31, 2023 | 500.56 Mn |
| May 31, 2023 | 470.80 Mn |
| Feb 28, 2023 | 446.81 Mn |
| Nov 30, 2022 | 444.93 Mn |
| Aug 31, 2022 | 440.12 Mn |
| May 31, 2022 | 404.44 Mn |
| Feb 28, 2022 | 407.61 Mn |
| Nov 30, 2021 | 381.23 Mn |
API Access
Cintas EBIT 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=ebit&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();