Cintas (CTAS) Property, Plant & Equipment (Net) (2010 - 2026)
Cintas' Property, Plant & Equipment (Net) came in at $1.74 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 5.3% from $1.65 billion a year earlier and up 1.4% from the prior quarter.
Cintas (CTAS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Cintas' Property, Plant & Equipment (Net) data covers 65 quarters.
- Property, Plant & Equipment (Net) has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $1.65 billion in FY2025 (+7.7%), $1.53 billion in FY2024 (+9.9%), $1.4 billion in FY2023 (+5.5%) and $1.32 billion in FY2022 (+0.4%).
- The fiscal Q4 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 17 consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q3 2024 (growth of 10.9%), and the weakest in fiscal Q1 2022 (a decline of 5.6%).
- Business Quant data shows CTAS's Property, Plant & Equipment (Net) at $1.72 billion (Q3 2026), $1.7 billion (Q2 2026) and $1.68 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 63.15 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.74 Bn |
| Feb 28, 2026 | 1.72 Bn |
| Nov 30, 2025 | 1.70 Bn |
| Aug 31, 2025 | 1.68 Bn |
| May 31, 2025 | 1.65 Bn |
| Feb 28, 2025 | 1.61 Bn |
| Nov 30, 2024 | 1.59 Bn |
| Aug 31, 2024 | 1.55 Bn |
| May 31, 2024 | 1.53 Bn |
| Feb 29, 2024 | 1.51 Bn |
| Nov 30, 2023 | 1.46 Bn |
| Aug 31, 2023 | 1.44 Bn |
| May 31, 2023 | 1.40 Bn |
| Feb 28, 2023 | 1.36 Bn |
| Nov 30, 2022 | 1.34 Bn |
| Aug 31, 2022 | 1.33 Bn |
| May 31, 2022 | 1.32 Bn |
| Feb 28, 2022 | 1.31 Bn |
| Nov 30, 2021 | 1.30 Bn |
| Aug 31, 2021 | 1.30 Bn |
Cintas Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();