Cintas (CTAS) Intangibles (2010 - 2026)
Cintas (CTAS) posted Intangibles of $282.94 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 58.9% from $689.05 million a year earlier and down 5.3% from the prior quarter.
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Analysis
Cintas (CTAS) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Intangibles came in at $298.65 million, down 3.6% from FY2025.
- Annual Intangibles has declined for nine consecutive fiscal years, with a five-year compound annual growth rate of -6.1% (FY2021 to FY2026).
- In prior fiscal years, Cintas' Intangibles was $309.83 million in FY2025 (-3.8%), $321.9 million in FY2024 (-7.1%), $346.57 million in FY2023 (-11.5%) and $391.64 million in FY2022 (-4.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Intangibles since fiscal Q3 2017.
- On a year-over-year basis, Intangibles has declined in each of the last four quarters, with an average decline of 8.3% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q2 2023, with growth of 81.3%; the weakest was fiscal Q1 2027, with a decline of 58.9%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $298.65 million (Q4 2026), $691.06 million (Q3 2026) and $697.59 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 2.50 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 282.94 Mn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 1.24 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 1.74 Bn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 589.83 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 41.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 294.43 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 1.92 Bn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Tetra Tech | 9.47 Bn | 8.58 Bn | 243.21 Mn | 123.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 282.94 Mn |
| May 31, 2026 | 298.65 Mn |
| Feb 28, 2026 | 691.06 Mn |
| Nov 30, 2025 | 697.59 Mn |
| Aug 31, 2025 | 689.05 Mn |
| May 31, 2025 | 309.83 Mn |
| Feb 28, 2025 | 692.45 Mn |
| Nov 30, 2024 | 699.21 Mn |
| Aug 31, 2024 | 682.73 Mn |
| May 31, 2024 | 321.90 Mn |
| Feb 29, 2024 | 703.30 Mn |
| Nov 30, 2023 | 692.70 Mn |
| Aug 31, 2023 | 700.05 Mn |
| May 31, 2023 | 346.57 Mn |
| Feb 28, 2023 | 706.16 Mn |
| Nov 30, 2022 | 710.16 Mn |
| Aug 31, 2022 | 715.32 Mn |
| May 31, 2022 | 391.64 Mn |
| Feb 28, 2022 | 402.37 Mn |
| Nov 30, 2021 | 391.61 Mn |
API Access
Cintas Intangibles 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=intangibles&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();