Cintas (CTAS) Change in Receivables (2009 - 2026)
Cintas' Change in Receivables came in at $10.42 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 32.3% from $15.38 million a year earlier and down 81.5% from the prior quarter.
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Analysis
Cintas (CTAS) Change in Receivables (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Change in Receivables was $135.22 million, down 22.4% from FY2025.
- Change in Receivables carries a five-year compound annual growth rate of 32.9% (FY2021 to FY2026).
- Going back by fiscal year, Change in Receivables was $174.14 million in FY2025 (+90.5%), $91.4 million in FY2024 (-39.8%), $151.77 million in FY2023 (+51.2%) and $100.39 million in FY2022 (+208.2%).
- The five-year range for quarterly Change in Receivables is -$17.64 million (fiscal Q4 2024) to $79.92 million (fiscal Q2 2025).
- Year-over-year, Change in Receivables increased in three of the last six quarters, with an average decline of 6.4%.
- The fastest year-over-year change in Change in Receivables over five years came in fiscal Q1 2023 (growth of 186.2%), and the weakest in fiscal Q1 2026 (a decline of 92.6%).
- Business Quant data shows CTAS's Change in Receivables at $56.46 million (Q3 2026), $64.7 million (Q2 2026) and $3.64 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 422.98 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 10.42 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 120.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 44.72 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 36.79 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | -24.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | -204.17 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 10.42 Mn |
| Feb 28, 2026 | 56.46 Mn |
| Nov 30, 2025 | 64.70 Mn |
| Aug 31, 2025 | 3.64 Mn |
| May 31, 2025 | 15.38 Mn |
| Feb 28, 2025 | 29.71 Mn |
| Nov 30, 2024 | 79.92 Mn |
| Aug 31, 2024 | 49.13 Mn |
| May 31, 2024 | -17.64 Mn |
| Feb 29, 2024 | -11.84 Mn |
| Nov 30, 2023 | 76.99 Mn |
| Aug 31, 2023 | 43.89 Mn |
| May 31, 2023 | 19.30 Mn |
| Feb 28, 2023 | -1.42 Mn |
| Nov 30, 2022 | 54.50 Mn |
| Aug 31, 2022 | 79.40 Mn |
| May 31, 2022 | 1.17 Mn |
| Feb 28, 2022 | 21.88 Mn |
| Nov 30, 2021 | 49.60 Mn |
| Aug 31, 2021 | 27.74 Mn |
API Access
Cintas Change in Receivables 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=change-in-receivables&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();