Cintas (CTAS) Non Operating Interest Expenses (2009 - 2026)
Cintas (CTAS) recorded Non Operating Interest Expenses of $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) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas reported Non Operating Interest Expenses of $106.29 million, up 5.1% from FY2025.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $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 Non Operating Interest Expenses has ranged from $21.85 million in fiscal Q1 2022 to $28.92 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses has increased for three consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 32.0% in fiscal Q2 2023, against a decline of 11.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $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) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();