Team (TISI) Interest Expenses (2010 - 2026)
Team's Interest Expenses was $9.28 million in Q2 2026, down 22.0% from $11.9 million a year earlier but up 4.5% from the prior quarter.
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Analysis
Team (TISI) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Team's Interest Expenses was $39.51 million through Jun 30, 2026, down 16.2% year-over-year; for FY2025, it was $44.68 million, down 6.6% from FY2024.
- Interest Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $47.81 million in FY2024 (-13.4%), $55.18 million in FY2023 (-35.1%), $85.05 million in FY2022 (+84.6%) and $46.08 million in FY2021 (+54.5%).
- Quarterly Interest Expenses has moved between $8.88 million (Q1 2026) and $26.65 million (Q3 2022) over five years.
- Compared with a year earlier, Interest Expenses has declined for three straight quarters, with an average decline of 6.3% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q3 2022 (growth of 167.2%); the worst was Q3 2023 (a decline of 62.2%).
- Per Business Quant data, TISI's Interest Expenses in the three quarters before Q2 2026 was $8.88 million (Q1 2026), $9.49 million (Q4 2025) and $11.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.40 Bn | 105.69 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 86.12 Bn | 85.20 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 33.88 Bn | 33.07 Bn | 1.07 Bn | - |
| 4 | APi | 17.20 Bn | 14.24 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 15.85 Bn | 15.40 Bn | 569.95 Mn | 9.39 Mn |
| 6 | UL Solutions | 14.82 Bn | 13.58 Bn | 417.00 Mn | 5.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | - |
| 8 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - | - |
| 10 | Team | 109.20 Mn | 37.42 Mn | 54.40 Mn | 9.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.28 Mn |
| Mar 31, 2026 | 8.88 Mn |
| Dec 31, 2025 | 9.49 Mn |
| Sep 30, 2025 | 11.86 Mn |
| Jun 30, 2025 | 11.90 Mn |
| Mar 31, 2025 | 11.44 Mn |
| Dec 31, 2024 | 12.03 Mn |
| Sep 30, 2024 | 11.77 Mn |
| Jun 30, 2024 | 11.91 Mn |
| Mar 31, 2024 | 12.10 Mn |
| Dec 31, 2023 | 11.68 Mn |
| Sep 30, 2023 | 10.07 Mn |
| Jun 30, 2023 | 16.69 Mn |
| Mar 31, 2023 | 16.74 Mn |
| Dec 31, 2022 | 21.34 Mn |
| Sep 30, 2022 | 26.65 Mn |
| Jun 30, 2022 | 18.48 Mn |
| Mar 31, 2022 | 18.58 Mn |
| Dec 31, 2021 | 17.11 Mn |
| Sep 30, 2021 | 9.97 Mn |
API Access
Team 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=TISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "TISI", "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=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();