Cintas (CTAS) Long-Term Investments (2013 - 2026)
Cintas (CTAS) reported Long-Term Investments of $448.88 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 21.5% from $369.5 million a year earlier and up 2.3% from the prior quarter.
Cintas (CTAS) Long-Term Investments (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas posted Long-Term Investments of $438.66 million, up 29.2% from FY2025.
- Long-Term Investments has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- By fiscal year, Long-Term Investments came in at $339.52 million in FY2025 (+12.3%), $302.21 million in FY2024 (+22.3%), $247.19 million in FY2023 (+1.8%) and $242.87 million in FY2022 (-11.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Long-Term Investments since fiscal Q2 2015.
- Year over year, Long-Term Investments has now increased in each of the last 14 quarters, with growth averaging 18.9% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was fiscal Q4 2026 (growth of 29.2%); the low point was fiscal Q1 2023 (a decline of 18.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $438.66 million (Q4 2026), $407.14 million (Q3 2026) and $386.28 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 151.25 Bn | 110.54 Bn | 6.13 Bn | 925.32 Mn |
| 2 | Cintas | 89.65 Bn | 88.74 Bn | 1.55 Bn | 448.88 Mn |
| 3 | Iron Mountain | 32.77 Bn | 31.96 Bn | 1.07 Bn | - |
| 4 | APi | 17.19 Bn | 14.22 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.61 Bn | 16.15 Bn | 582.90 Mn | - |
| 6 | Gartner | 15.43 Bn | 9.12 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 14.69 Bn | 13.45 Bn | 417.00 Mn | - |
| 8 | Aramark | 13.91 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.51 Bn | 5.02 Bn | - | 28.00 Mn |
| 10 | Tetra Tech | 9.52 Bn | 8.63 Bn | 243.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 448.88 Mn |
| May 31, 2026 | 438.66 Mn |
| Feb 28, 2026 | 407.14 Mn |
| Nov 30, 2025 | 386.28 Mn |
| Aug 31, 2025 | 369.50 Mn |
| May 31, 2025 | 339.52 Mn |
| Feb 28, 2025 | 336.89 Mn |
| Nov 30, 2024 | 340.13 Mn |
| Aug 31, 2024 | 325.65 Mn |
| May 31, 2024 | 302.21 Mn |
| Feb 29, 2024 | 294.26 Mn |
| Nov 30, 2023 | 270.01 Mn |
| Aug 31, 2023 | 266.93 Mn |
| May 31, 2023 | 247.19 Mn |
| Feb 28, 2023 | 241.80 Mn |
| Nov 30, 2022 | 243.57 Mn |
| Aug 31, 2022 | 239.34 Mn |
| May 31, 2022 | 242.87 Mn |
| Feb 28, 2022 | 259.93 Mn |
| Nov 30, 2021 | 289.12 Mn |
Cintas Long-Term Investments 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=long-term-investments&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();