Cintas (CTAS) Depreciation and Depletion (2009 - 2026)
Cintas' Depreciation and Depletion was $81.6 million in fiscal Q4 2026 (quarter ended May 31, 2026), up 5.1% from $77.66 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Cintas (CTAS) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Depreciation and Depletion at Cintas came in at $318.64 million, up 5.0% from FY2025.
- Depreciation and Depletion has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $303.38 million in FY2025 (+8.0%), $280.87 million in FY2024 (+5.1%), $267.22 million in FY2023 (+7.2%) and $249.38 million in FY2022 (+2.3%).
- The fiscal Q4 2026 figure marks the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2010.
- Compared with a year earlier, Depreciation and Depletion has increased for eight straight quarters, with growth averaging 6.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2023 (growth of 17.7%); the worst was fiscal Q4 2024 (a decline of 4.2%).
- Per Business Quant data, CTAS's Depreciation and Depletion in the three fiscal quarters before Q4 2026 was $80.15 million (Q3 2026), $79.3 million (Q2 2026) and $77.59 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | - |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 25.15 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 81.60 Mn |
| Feb 28, 2026 | 80.15 Mn |
| Nov 30, 2025 | 79.30 Mn |
| Aug 31, 2025 | 77.59 Mn |
| May 31, 2025 | 77.66 Mn |
| Feb 28, 2025 | 76.37 Mn |
| Nov 30, 2024 | 75.50 Mn |
| Aug 31, 2024 | 73.84 Mn |
| May 31, 2024 | 73.23 Mn |
| Feb 29, 2024 | 70.83 Mn |
| Nov 30, 2023 | 69.19 Mn |
| Aug 31, 2023 | 67.61 Mn |
| May 31, 2023 | 76.42 Mn |
| Feb 28, 2023 | 64.24 Mn |
| Nov 30, 2022 | 63.50 Mn |
| Aug 31, 2022 | 63.06 Mn |
| May 31, 2022 | 64.91 Mn |
| Feb 28, 2022 | 62.19 Mn |
| Nov 30, 2021 | 61.32 Mn |
| Aug 31, 2021 | 60.96 Mn |
API Access
Cintas Depreciation and Depletion 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=depreciation-and-depletion&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();