Cintas (CTAS) Depreciation and Depletion (2009 - 2026)
Cintas' Depreciation and Depletion was $78.92 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.7% from $77.59 million a year earlier but down 3.3% from the prior quarter.
Cintas (CTAS) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cintas' Depreciation and Depletion was $319.97 million through Aug 31, 2026, up 4.2% year-over-year; for FY2026 (ended May 31, 2026), it was $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%).
- Quarterly Depreciation and Depletion has moved between $61.32 million (fiscal Q2 2022) and $81.6 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for nine straight quarters, with growth averaging 5.6% 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 Q1 2027 was $81.6 million (Q4 2026), $80.15 million (Q3 2026) and $79.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 78.92 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 202.85 Mn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | - |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 21.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | - |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 25.15 Mn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Booz Allen Hamilton Holding | 9.44 Bn | 6.48 Bn | 1.46 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 78.92 Mn |
| 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 |
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_KEY
import 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();