Cintas (CTAS) Capital Expenditures (2009 - 2026)
Cintas (CTAS) posted Capital Expenditures of $96 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 16.2% from $114.62 million a year earlier but up 5.6% from the prior quarter.
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Analysis
Cintas (CTAS) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Capital Expenditures came in at $395.11 million, down 3.4% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 22.5% (FY2021 to FY2026).
- In prior fiscal years, Cintas' Capital Expenditures was $408.88 million in FY2025 (-0.1%), $409.47 million in FY2024 (+23.7%), $331.11 million in FY2023 (+37.6%) and $240.67 million in FY2022 (+67.8%).
- Quarterly Capital Expenditures has run from a low of $48.75 million in fiscal Q1 2022 to a high of $114.62 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in four of the last eight quarters, with an average decline of 1.2%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q2 2022, with growth of 123.6%; the weakest was fiscal Q4 2026, with a decline of 16.2%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $90.9 million (Q3 2026), $106.25 million (Q2 2026) and $101.96 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 112.37 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 6.43 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 3.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 96.00 Mn |
| Feb 28, 2026 | 90.90 Mn |
| Nov 30, 2025 | 106.25 Mn |
| Aug 31, 2025 | 101.96 Mn |
| May 31, 2025 | 114.62 Mn |
| Feb 28, 2025 | 99.92 Mn |
| Nov 30, 2024 | 101.42 Mn |
| Aug 31, 2024 | 92.92 Mn |
| May 31, 2024 | 101.91 Mn |
| Feb 29, 2024 | 107.03 Mn |
| Nov 30, 2023 | 93.83 Mn |
| Aug 31, 2023 | 106.70 Mn |
| May 31, 2023 | 106.99 Mn |
| Feb 28, 2023 | 77.71 Mn |
| Nov 30, 2022 | 76.39 Mn |
| Aug 31, 2022 | 70.02 Mn |
| May 31, 2022 | 74.82 Mn |
| Feb 28, 2022 | 57.22 Mn |
| Nov 30, 2021 | 59.88 Mn |
| Aug 31, 2021 | 48.75 Mn |
API Access
Cintas Capital Expenditures 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=capital-expenditures&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();