Cintas (CTAS) Total Current Liabilities (2010 - 2026)
Cintas' Total Current Liabilities came in at $2.69 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 63.4% from $1.64 billion a year earlier and up 47.9% from the prior quarter.
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Analysis
Cintas (CTAS) Total Current Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Cintas' Total Current Liabilities data covers 65 quarters.
- Total Current Liabilities carries a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $1.64 billion in FY2025 (-10.1%), $1.83 billion in FY2024 (+48.7%), $1.23 billion in FY2023 (-14.2%) and $1.43 billion in FY2022 (-25.9%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 24.5%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2022 (growth of 107.5%), and the weakest in fiscal Q3 2023 (a decline of 47.1%).
- Business Quant data shows CTAS's Total Current Liabilities at $1.82 billion (Q3 2026), $2.08 billion (Q2 2026) and $1.51 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 1.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.69 Bn |
| Feb 28, 2026 | 1.82 Bn |
| Nov 30, 2025 | 2.08 Bn |
| Aug 31, 2025 | 1.51 Bn |
| May 31, 2025 | 1.64 Bn |
| Feb 28, 2025 | 1.94 Bn |
| Nov 30, 2024 | 2.01 Bn |
| Aug 31, 2024 | 1.98 Bn |
| May 31, 2024 | 1.83 Bn |
| Feb 29, 2024 | 1.27 Bn |
| Nov 30, 2023 | 1.36 Bn |
| Aug 31, 2023 | 1.17 Bn |
| May 31, 2023 | 1.23 Bn |
| Feb 28, 2023 | 1.39 Bn |
| Nov 30, 2022 | 1.55 Bn |
| Aug 31, 2022 | 1.60 Bn |
| May 31, 2022 | 1.43 Bn |
| Feb 28, 2022 | 2.62 Bn |
| Nov 30, 2021 | 2.18 Bn |
| Aug 31, 2021 | 2.27 Bn |
API Access
Cintas Total Current Liabilities 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=total-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();