Team (TISI) Total Liabilities (2011 - 2026)
Team (TISI) posted Total Liabilities of $548.46 million for Q2 2026, down 4.0% from $571.29 million a year earlier but up 5.7% from the prior quarter.
Team (TISI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Team's Total Liabilities came in at $509.93 million, down 3.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, Team's Total Liabilities was $526.63 million in FY2024 (+1.2%), $520.15 million in FY2023 (+4.3%), $498.89 million in FY2022 (-23.8%) and $654.68 million in FY2021 (+26.8%).
- Quarterly Total Liabilities has run from a low of $481.05 million in Q1 2023 to a high of $742.42 million in Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 26.8%; the weakest was Q3 2023, with a decline of 33.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $518.83 million (Q1 2026), $509.93 million (Q4 2025) and $548.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.09 Bn | 108.38 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 86.26 Bn | 85.34 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 33.13 Bn | 32.32 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.18 Bn | 14.22 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.00 Bn | 15.54 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 14.88 Bn | 13.64 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.74 Bn | 12.68 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.31 Bn | 8.00 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.77 Bn | 4.29 Bn | - | - |
| 10 | Team | 104.77 Mn | 32.99 Mn | 54.40 Mn | 548.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 548.46 Mn |
| Mar 31, 2026 | 518.83 Mn |
| Dec 31, 2025 | 509.93 Mn |
| Sep 30, 2025 | 548.70 Mn |
| Jun 30, 2025 | 571.29 Mn |
| Mar 31, 2025 | 541.18 Mn |
| Dec 31, 2024 | 526.63 Mn |
| Sep 30, 2024 | 527.47 Mn |
| Jun 30, 2024 | 525.77 Mn |
| Mar 31, 2024 | 509.19 Mn |
| Dec 31, 2023 | 520.15 Mn |
| Sep 30, 2023 | 496.84 Mn |
| Jun 30, 2023 | 506.81 Mn |
| Mar 31, 2023 | 481.05 Mn |
| Dec 31, 2022 | 498.89 Mn |
| Sep 30, 2022 | 742.42 Mn |
| Jun 30, 2022 | 723.25 Mn |
| Mar 31, 2022 | 688.97 Mn |
| Dec 31, 2021 | 654.68 Mn |
| Sep 30, 2021 | 609.99 Mn |
Team Total Liabilities 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=total-liabilities&ticker=TISI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();