Team (TISI) Accumulated Expenses (2016 - 2026)
Team (TISI) posted Accumulated Expenses of $65.57 million for Q2 2026, down 34.9% from $100.76 million a year earlier but up 5.8% from the prior quarter.
Powered by 
Analysis
Team (TISI) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Team's Accumulated Expenses came in at $56.72 million, down 46.1% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In prior years, Team's Accumulated Expenses was $105.23 million in FY2024 (-10.9%), $118.09 million in FY2023 (-1.0%), $119.27 million in FY2022 (+6.7%) and $111.74 million in FY2021 (+52.8%).
- Quarterly Accumulated Expenses has run from a low of $56.72 million in Q4 2025 to a high of $129.64 million in Q3 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last seven quarters, with an average decline of 19.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 79.3%; the weakest was Q4 2025, with a decline of 46.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $61.95 million (Q1 2026), $56.72 million (Q4 2025) and $97.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 145.94 Bn | 105.22 Bn | 6.13 Bn |
| 2 | Cintas | 86.15 Bn | 85.23 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.29 Bn | 32.48 Bn | 1.07 Bn |
| 4 | APi | 17.22 Bn | 14.25 Bn | 703.00 Mn |
| 5 | Rollins | 15.90 Bn | 15.44 Bn | 569.95 Mn |
| 6 | UL Solutions | 15.03 Bn | 13.81 Bn | 417.00 Mn |
| 7 | Aramark | 14.74 Bn | 12.69 Bn | 430.34 Mn |
| 8 | Gartner | 13.97 Bn | 7.66 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.76 Bn | 4.28 Bn | - |
| 10 | Team | 111.40 Mn | 39.62 Mn | 54.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.57 Mn |
| Mar 31, 2026 | 61.95 Mn |
| Dec 31, 2025 | 56.72 Mn |
| Sep 30, 2025 | 97.99 Mn |
| Jun 30, 2025 | 100.76 Mn |
| Mar 31, 2025 | 97.25 Mn |
| Dec 31, 2024 | 105.23 Mn |
| Sep 30, 2024 | 107.03 Mn |
| Jun 30, 2024 | 107.97 Mn |
| Mar 31, 2024 | 113.07 Mn |
| Dec 31, 2023 | 118.09 Mn |
| Sep 30, 2023 | 104.75 Mn |
| Jun 30, 2023 | 101.93 Mn |
| Mar 31, 2023 | 99.31 Mn |
| Dec 31, 2022 | 119.27 Mn |
| Sep 30, 2022 | 129.64 Mn |
| Jun 30, 2022 | 128.76 Mn |
| Mar 31, 2022 | 123.99 Mn |
| Dec 31, 2021 | 111.74 Mn |
| Sep 30, 2021 | 115.69 Mn |
API Access
Team Accumulated 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=accumulated-expenses&ticker=TISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();