Cintas (CTAS) EBITDA (2009 - 2026)
Cintas' EBITDA came in at $839.21 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 12.8% from $743.8 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Cintas (CTAS) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Cintas reported EBITDA of $3.21 billion, up 10.2% year-over-year; for FY2026 (ended May 31, 2026), it was $3.12 billion, up 9.3% from FY2025.
- EBITDA has increased in each of the last 16 fiscal years, with a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $2.85 billion in FY2025 (+13.0%), $2.53 billion in FY2024 (+13.7%), $2.22 billion in FY2023 (+11.8%) and $1.99 billion in FY2022 (+12.0%).
- The fiscal Q1 2027 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- Year-over-year, EBITDA has increased for 25 consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 6.8% (fiscal Q2 2022) and 20.0% (fiscal Q3 2022) over the last five years.
- Business Quant data shows CTAS's EBITDA at $803.77 million (Q4 2026), $788.57 million (Q3 2026) and $783.22 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 256.13 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 425.01 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 351.69 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Tetra Tech | 9.47 Bn | 8.58 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 839.21 Mn |
| May 31, 2026 | 803.77 Mn |
| Feb 28, 2026 | 788.57 Mn |
| Nov 30, 2025 | 783.22 Mn |
| Aug 31, 2025 | 743.80 Mn |
| May 31, 2025 | 723.91 Mn |
| Feb 28, 2025 | 735.38 Mn |
| Nov 30, 2024 | 713.20 Mn |
| Aug 31, 2024 | 681.42 Mn |
| May 31, 2024 | 677.01 Mn |
| Feb 29, 2024 | 632.21 Mn |
| Nov 30, 2023 | 608.91 Mn |
| Aug 31, 2023 | 607.37 Mn |
| May 31, 2023 | 586.06 Mn |
| Feb 28, 2023 | 549.64 Mn |
| Nov 30, 2022 | 546.14 Mn |
| Aug 31, 2022 | 540.17 Mn |
| May 31, 2022 | 506.81 Mn |
| Feb 28, 2022 | 508.29 Mn |
| Nov 30, 2021 | 479.92 Mn |
API Access
Cintas EBITDA 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=ebitda&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();