Team (TISI) Return on Capital Employed [ROCE] (2011 - 2026)
Team's Return on Capital Employed [ROCE] was 1.87% in Q2 2026, down 1.26 percentage points from 3.13% a year earlier and down 2.72 percentage points from the prior quarter.
Team (TISI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Team came in at 3.64%, up 0.94 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for five consecutive years, with a five-year change of +33.61 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 2.70% in FY2024 (+5.89 pp), -3.19% in FY2023 (+15.52 pp), -18.71% in FY2022 (+5.21 pp) and -23.92% in FY2021 (+6.06 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in seven of the last eight quarters, with an average year-over-year change of +2.86 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2023 (a gain of 251.39 percentage points); the worst was Q2 2022 (a drop of 248.24 percentage points).
- Per Business Quant data, TISI's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 4.59% (Q1 2026), 3.62% (Q4 2025) and 2.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 8.75% |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 30.79% |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 25.89% |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 29.65% |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 7.98% |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Team | 110.76 Mn | 38.98 Mn | 54.40 Mn | 1.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.87% |
| Mar 31, 2026 | 4.59% |
| Dec 31, 2025 | 3.62% |
| Sep 30, 2025 | 2.54% |
| Jun 30, 2025 | 3.13% |
| Mar 31, 2025 | 2.85% |
| Dec 31, 2024 | 2.77% |
| Sep 30, 2024 | -0.25% |
| Jun 30, 2024 | -1.45% |
| Mar 31, 2024 | -3.14% |
| Dec 31, 2023 | -3.42% |
| Sep 30, 2023 | -2.24% |
| Jun 30, 2023 | -2.31% |
| Mar 31, 2023 | -15.41% |
| Dec 31, 2022 | -18.40% |
| Sep 30, 2022 | -228.62% |
| Jun 30, 2022 | -253.70% |
| Mar 31, 2022 | -23.57% |
| Dec 31, 2021 | -24.99% |
| Sep 30, 2021 | -18.29% |
Team Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=TISI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();