Cintas (CTAS) Cash & Equivalents (2009 - 2026)
Cintas' Cash & Equivalents came in at $243.6 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 76.3% from $138.14 million a year earlier but down 15.7% from the prior quarter.
Cintas (CTAS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Cash & Equivalents was $289.02 million, up 9.5% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -10.2% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $263.97 million in FY2025 (-22.8%), $342.02 million in FY2024 (+175.5%), $124.15 million in FY2023 (+37.2%) and $90.47 million in FY2022 (-81.7%).
- The five-year range for quarterly Cash & Equivalents is $74.56 million (fiscal Q1 2023) to $342.02 million (fiscal Q4 2024).
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 33.9%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2024 (growth of 175.5%), and the weakest in fiscal Q3 2022 (a decline of 84.8%).
- Business Quant data shows CTAS's Cash & Equivalents at $289.02 million (Q4 2026), $183.2 million (Q3 2026) and $200.84 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 109.09 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 434.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 499.43 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | 2.47 Bn |
| 10 | Tetra Tech | 8.94 Bn | 8.04 Bn | 243.21 Mn | 230.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 243.60 Mn |
| May 31, 2026 | 289.02 Mn |
| Feb 28, 2026 | 183.20 Mn |
| Nov 30, 2025 | 200.84 Mn |
| Aug 31, 2025 | 138.14 Mn |
| May 31, 2025 | 263.97 Mn |
| Feb 28, 2025 | 243.43 Mn |
| Nov 30, 2024 | 122.40 Mn |
| Aug 31, 2024 | 101.37 Mn |
| May 31, 2024 | 342.02 Mn |
| Feb 29, 2024 | 128.48 Mn |
| Nov 30, 2023 | 85.56 Mn |
| Aug 31, 2023 | 88.13 Mn |
| May 31, 2023 | 124.15 Mn |
| Feb 28, 2023 | 88.56 Mn |
| Nov 30, 2022 | 89.80 Mn |
| Aug 31, 2022 | 74.56 Mn |
| May 31, 2022 | 90.47 Mn |
| Feb 28, 2022 | 84.14 Mn |
| Nov 30, 2021 | 113.17 Mn |
Cintas Cash & Equivalents 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=cash-and-equivalents&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();