Cintas (CTAS) Operating Leases (2019 - 2026)
Cintas' Operating Leases came in at $224.16 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 13.3% from $197.82 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Cintas (CTAS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Operating Leases was $221.38 million, up 23.9% from FY2025.
- Operating Leases has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $178.74 million in FY2025 (+21.7%), $146.82 million in FY2024 (+6.2%), $138.28 million in FY2023 (+7.1%) and $129.06 million in FY2022 (-1.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year-over-year, Operating Leases has increased for 17 consecutive quarters, with growth averaging 22.2% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q2 2026 (growth of 45.8%), and the weakest in fiscal Q4 2022 (a decline of 1.3%).
- Business Quant data shows CTAS's Operating Leases at $221.38 million (Q4 2026), $207.27 million (Q3 2026) and $207.06 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - |
| 10 | Tetra Tech | 9.52 Bn | 8.62 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 224.16 Mn |
| May 31, 2026 | 221.38 Mn |
| Feb 28, 2026 | 207.27 Mn |
| Nov 30, 2025 | 207.06 Mn |
| Aug 31, 2025 | 197.82 Mn |
| May 31, 2025 | 178.74 Mn |
| Feb 28, 2025 | 165.66 Mn |
| Nov 30, 2024 | 141.97 Mn |
| Aug 31, 2024 | 149.35 Mn |
| May 31, 2024 | 146.82 Mn |
| Feb 29, 2024 | 146.06 Mn |
| Nov 30, 2023 | 138.94 Mn |
| Aug 31, 2023 | 141.46 Mn |
| May 31, 2023 | 138.28 Mn |
| Feb 28, 2023 | 139.11 Mn |
| Nov 30, 2022 | 136.52 Mn |
| Aug 31, 2022 | 134.01 Mn |
| May 31, 2022 | 129.06 Mn |
| Feb 28, 2022 | 131.22 Mn |
| Nov 30, 2021 | 118.89 Mn |
API Access
Cintas Operating Leases 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=operating-leases&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();