Cintas (CTAS) Prepaid Assets (2010 - 2026)
Cintas' Prepaid Assets came in at $357.29 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 83.5% from $194.68 million a year earlier and up 24.8% from the prior quarter.
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Analysis
Cintas (CTAS) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Prepaid Assets was $286.23 million, up 68.3% from FY2025.
- Prepaid Assets has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 16.4% (FY2021 to FY2026).
- Going back by fiscal year, Prepaid Assets was $170.05 million in FY2025 (+14.4%), $148.67 million in FY2024 (+4.1%), $142.8 million in FY2023 (+14.5%) and $124.73 million in FY2022 (-6.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Prepaid Assets in data going back to fiscal Q4 2010.
- Year-over-year, Prepaid Assets has increased for 14 consecutive quarters, with growth averaging 24.8% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in fiscal Q1 2027 (growth of 83.5%), and the weakest in fiscal Q4 2022 (a decline of 6.8%).
- Business Quant data shows CTAS's Prepaid Assets at $286.23 million (Q4 2026), $185.61 million (Q3 2026) and $193.81 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 | 166.50 Bn | 126.90 Bn | 6.13 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - |
| 10 | Tetra Tech | 9.47 Bn | 8.58 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 357.29 Mn |
| May 31, 2026 | 286.23 Mn |
| Feb 28, 2026 | 185.61 Mn |
| Nov 30, 2025 | 193.81 Mn |
| Aug 31, 2025 | 194.68 Mn |
| May 31, 2025 | 170.05 Mn |
| Feb 28, 2025 | 178.65 Mn |
| Nov 30, 2024 | 177.94 Mn |
| Aug 31, 2024 | 188.09 Mn |
| May 31, 2024 | 148.67 Mn |
| Feb 29, 2024 | 163.62 Mn |
| Nov 30, 2023 | 166.65 Mn |
| Aug 31, 2023 | 182.19 Mn |
| May 31, 2023 | 142.80 Mn |
| Feb 28, 2023 | 155.21 Mn |
| Nov 30, 2022 | 152.54 Mn |
| Aug 31, 2022 | 162.84 Mn |
| May 31, 2022 | 124.73 Mn |
| Feb 28, 2022 | 163.44 Mn |
| Nov 30, 2021 | 136.80 Mn |
API Access
Cintas Prepaid Assets 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=prepaid-assets&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();