Cintas (CTAS) EBT (2009 - 2026)
Cintas' EBT was $689.83 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 15.8% from $595.91 million a year earlier and up 6.4% from the prior quarter.
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Analysis
Cintas (CTAS) EBT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cintas' EBT was $2.6 billion through Aug 31, 2026, up 11.9% year-over-year; for FY2026 (ended May 31, 2026), it was $2.51 billion, up 10.6% from FY2025.
- EBT has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 14.2% (FY2021 to FY2026).
- In earlier fiscal years, EBT was $2.26 billion in FY2025 (+14.7%), $1.97 billion in FY2024 (+16.6%), $1.69 billion in FY2023 (+13.0%) and $1.5 billion in FY2022 (+16.4%).
- The fiscal Q1 2027 figure marks the highest quarterly EBT in data going back to fiscal Q1 2010.
- Compared with a year earlier, EBT has increased for 25 straight quarters, with growth averaging 13.1% over the last eight quarters.
- Across the past five years, year-over-year growth in EBT ran from 7.9% in fiscal Q3 2026 to 27.7% in fiscal Q3 2022.
- Per Business Quant data, CTAS's EBT in the three fiscal quarters before Q1 2027 was $648.43 million (Q4 2026), $632.5 million (Q3 2026) and $628.5 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 3.15 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 689.83 Mn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 120.90 Mn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 138.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 189.75 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 338.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 135.73 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 354.62 Mn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Tetra Tech | 9.05 Bn | 8.16 Bn | 243.21 Mn | 150.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 689.83 Mn |
| May 31, 2026 | 648.43 Mn |
| Feb 28, 2026 | 632.50 Mn |
| Nov 30, 2025 | 628.50 Mn |
| Aug 31, 2025 | 595.91 Mn |
| May 31, 2025 | 575.42 Mn |
| Feb 28, 2025 | 586.44 Mn |
| Nov 30, 2024 | 565.69 Mn |
| Aug 31, 2024 | 536.66 Mn |
| May 31, 2024 | 527.14 Mn |
| Feb 29, 2024 | 496.20 Mn |
| Nov 30, 2023 | 473.86 Mn |
| Aug 31, 2023 | 476.43 Mn |
| May 31, 2023 | 445.87 Mn |
| Feb 28, 2023 | 418.37 Mn |
| Nov 30, 2022 | 416.36 Mn |
| Aug 31, 2022 | 412.56 Mn |
| May 31, 2022 | 381.45 Mn |
| Feb 28, 2022 | 385.63 Mn |
| Nov 30, 2021 | 359.38 Mn |
API Access
Cintas EBT 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=ebt&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();