Team (TISI) Operating Leases (2019 - 2026)
Team (TISI) posted Operating Leases of $32.97 million for Q2 2026, up 5.6% from $31.22 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Team (TISI) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Team's Operating Leases came in at $35.91 million, up 25.4% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- In prior years, Team's Operating Leases was $28.63 million in FY2024 (-4.4%), $29.96 million in FY2023 (-22.8%), $38.82 million in FY2022 (-18.5%) and $47.62 million in FY2021 (-8.8%).
- Quarterly Operating Leases has run from a low of $28.63 million in Q4 2024 to a high of $51.87 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last six quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q4 2025, with growth of 25.4%; the weakest was Q4 2023, with a decline of 22.8%.
- According to Business Quant data, Operating Leases for the three prior quarters was $34.17 million (Q1 2026), $35.91 million (Q4 2025) and $32.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - |
| 10 | Team | 109.75 Mn | 37.97 Mn | 54.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.97 Mn |
| Mar 31, 2026 | 34.17 Mn |
| Dec 31, 2025 | 35.91 Mn |
| Sep 30, 2025 | 32.33 Mn |
| Jun 30, 2025 | 31.22 Mn |
| Mar 31, 2025 | 30.10 Mn |
| Dec 31, 2024 | 28.63 Mn |
| Sep 30, 2024 | 30.13 Mn |
| Jun 30, 2024 | 30.82 Mn |
| Mar 31, 2024 | 29.09 Mn |
| Dec 31, 2023 | 29.96 Mn |
| Sep 30, 2023 | 32.44 Mn |
| Jun 30, 2023 | 34.57 Mn |
| Mar 31, 2023 | 37.12 Mn |
| Dec 31, 2022 | 38.82 Mn |
| Sep 30, 2022 | 40.14 Mn |
| Jun 30, 2022 | 43.09 Mn |
| Mar 31, 2022 | 45.74 Mn |
| Dec 31, 2021 | 47.62 Mn |
| Sep 30, 2021 | 51.87 Mn |
API Access
Team Operating Leases 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=operating-leases&ticker=TISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();