Team (TISI) Property, Plant & Equipment (Net) (2011 - 2026)
Team's Property, Plant & Equipment (Net) was $106.5 million in Q2 2026, down 5.1% from $112.25 million a year earlier and down 1.9% from the prior quarter.
Team (TISI) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Team came in at $110.63 million, down 2.0% from FY2024.
- Property, Plant & Equipment (Net) has now declined for eight consecutive years, with a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $112.84 million in FY2024 (-11.2%), $127.06 million in FY2023 (-8.0%), $138.1 million in FY2022 (-5.1%) and $145.48 million in FY2021 (-14.6%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2016.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 34 straight quarters, with an average decline of 6.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 2.0% in Q4 2025 to 17.9% in Q3 2023.
- Per Business Quant data, TISI's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $108.51 million (Q1 2026), $110.63 million (Q4 2025) and $111.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 111.03 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 766.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 199.25 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 1.74 Bn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | 443.00 Mn |
| 10 | Team | 110.76 Mn | 38.98 Mn | 54.40 Mn | 106.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.50 Mn |
| Mar 31, 2026 | 108.51 Mn |
| Dec 31, 2025 | 110.63 Mn |
| Sep 30, 2025 | 111.02 Mn |
| Jun 30, 2025 | 112.25 Mn |
| Mar 31, 2025 | 110.95 Mn |
| Dec 31, 2024 | 112.84 Mn |
| Sep 30, 2024 | 116.49 Mn |
| Jun 30, 2024 | 120.15 Mn |
| Mar 31, 2024 | 123.14 Mn |
| Dec 31, 2023 | 127.06 Mn |
| Sep 30, 2023 | 127.71 Mn |
| Jun 30, 2023 | 131.96 Mn |
| Mar 31, 2023 | 134.52 Mn |
| Dec 31, 2022 | 138.10 Mn |
| Sep 30, 2022 | 155.63 Mn |
| Jun 30, 2022 | 157.04 Mn |
| Mar 31, 2022 | 160.19 Mn |
| Dec 31, 2021 | 145.48 Mn |
| Sep 30, 2021 | 160.87 Mn |
Team Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TISI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();