Cintas (CTAS) EBITDA (2009 - 2026)
Cintas' EBITDA came in at $803.77 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 11.0% from $723.91 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Cintas (CTAS) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' EBITDA 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 Q4 2026 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- Year-over-year, EBITDA has increased for 24 consecutive quarters, with growth averaging 11.2% 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 $788.57 million (Q3 2026), $783.22 million (Q2 2026) and $743.8 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 351.69 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 234.97 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 492.05 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();