Cintas (CTAS) Cost of Revenue (2017 - 2026)
Cintas (CTAS) reported Cost of Revenue of $1.46 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 8.1% from $1.35 billion a year earlier and up 2.5% from the prior quarter.
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Analysis
Cintas (CTAS) Cost of Revenue (2017 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Cintas' Cost of Revenue came in at $5.67 billion, up 7.5% year-over-year; for FY2026 (ended May 31, 2026), it was $5.56 billion, up 7.6% from FY2025.
- Cost of Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 7.9% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $5.17 billion in FY2025 (+5.2%), $4.91 billion in FY2024 (+5.8%), $4.64 billion in FY2023 (+10.0%) and $4.22 billion in FY2022 (+11.1%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2018.
- Year over year, Cost of Revenue has now increased in each of the last 22 quarters, with growth averaging 6.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 4.0% (fiscal Q2 2025) to 15.6% (fiscal Q4 2022).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.42 billion (Q4 2026), $1.39 billion (Q3 2026) and $1.39 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 12.69 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 926.65 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 506.77 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 1.78 Bn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 400.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 433.14 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 200.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.46 Bn |
| May 31, 2026 | 1.42 Bn |
| Feb 28, 2026 | 1.39 Bn |
| Nov 30, 2025 | 1.39 Bn |
| Aug 31, 2025 | 1.35 Bn |
| May 31, 2025 | 1.34 Bn |
| Feb 28, 2025 | 1.29 Bn |
| Nov 30, 2024 | 1.29 Bn |
| Aug 31, 2024 | 1.25 Bn |
| May 31, 2024 | 1.26 Bn |
| Feb 29, 2024 | 1.22 Bn |
| Nov 30, 2023 | 1.24 Bn |
| Aug 31, 2023 | 1.20 Bn |
| May 31, 2023 | 1.20 Bn |
| Feb 28, 2023 | 1.16 Bn |
| Nov 30, 2022 | 1.15 Bn |
| Aug 31, 2022 | 1.14 Bn |
| May 31, 2022 | 1.13 Bn |
| Feb 28, 2022 | 1.06 Bn |
| Nov 30, 2021 | 1.04 Bn |
API Access
Cintas Cost of Revenue 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=cost-of-revenue&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();