Cintas (CTAS) Interest Expenses (2009 - 2026)
Cintas' Interest Expenses was $25.84 million in fiscal Q4 2026 (quarter ended May 31, 2026), up 7.4% from $24.06 million a year earlier but down 8.4% from the prior quarter.
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Analysis
Cintas (CTAS) Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Interest Expenses at Cintas came in at $106.29 million, up 5.1% from FY2025.
- Interest Expenses shows a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $101.11 million in FY2025 (+0.4%), $100.74 million in FY2024 (-9.4%), $111.23 million in FY2023 (+25.2%) and $88.84 million in FY2022 (-9.5%).
- Quarterly Interest Expenses has moved between $21.85 million (fiscal Q1 2022) and $28.92 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Interest Expenses has increased for three straight quarters, with growth averaging 2.8% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q2 2023 (growth of 32.0%); the worst was fiscal Q1 2024 (a decline of 11.5%).
- Per Business Quant data, CTAS's Interest Expenses in the three fiscal quarters before Q4 2026 was $28.21 million (Q3 2026), $28.08 million (Q2 2026) and $24.16 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 9.39 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 7.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 25.84 Mn |
| Feb 28, 2026 | 28.21 Mn |
| Nov 30, 2025 | 28.08 Mn |
| Aug 31, 2025 | 24.16 Mn |
| May 31, 2025 | 24.06 Mn |
| Feb 28, 2025 | 24.76 Mn |
| Nov 30, 2024 | 26.67 Mn |
| Aug 31, 2024 | 25.62 Mn |
| May 31, 2024 | 24.08 Mn |
| Feb 29, 2024 | 25.53 Mn |
| Nov 30, 2023 | 26.59 Mn |
| Aug 31, 2023 | 24.54 Mn |
| May 31, 2023 | 25.77 Mn |
| Feb 28, 2023 | 28.82 Mn |
| Nov 30, 2022 | 28.92 Mn |
| Aug 31, 2022 | 27.72 Mn |
| May 31, 2022 | 23.06 Mn |
| Feb 28, 2022 | 22.03 Mn |
| Nov 30, 2021 | 21.90 Mn |
| Aug 31, 2021 | 21.85 Mn |
API Access
Cintas Interest Expenses 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=interest-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();