Team (TISI) EBITDA (2010 - 2026)
Team (TISI) recorded EBITDA of $10.64 million in Q2 2026, down 48.4% from $20.63 million a year earlier but up 109.3% from the prior quarter.
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Analysis
Team (TISI) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Team's EBITDA came in at $40.85 million as of Jun 30, 2026, down 10.8% year-over-year; for FY2025, it was $48.15 million, up 3.7% from FY2024.
- Across earlier years, EBITDA came in at $46.43 million in FY2024 (+88.8%), $24.6 million in FY2023, -$2.21 million in FY2022 and -$85.36 million in FY2021.
- Quarterly EBITDA has ranged from -$60.42 million in Q3 2021 to $20.63 million in Q2 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last seven quarters, with growth averaging 16.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 111.8% in Q1 2026, against a decline of 87.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.08 million (Q1 2026), $15.04 million (Q4 2025) and $10.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Team | 106.18 Mn | 34.40 Mn | 54.40 Mn | 11.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.77 Mn |
| Mar 31, 2026 | 6.23 Mn |
| Dec 31, 2025 | 16.16 Mn |
| Sep 30, 2025 | 11.42 Mn |
| Jun 30, 2025 | 21.85 Mn |
| Mar 31, 2025 | 3.79 Mn |
| Dec 31, 2024 | 12.10 Mn |
| Sep 30, 2024 | 13.26 Mn |
| Jun 30, 2024 | 22.07 Mn |
| Mar 31, 2024 | 5.23 Mn |
| Dec 31, 2023 | 2.32 Mn |
| Sep 30, 2023 | 8.84 Mn |
| Jun 30, 2023 | 21.88 Mn |
| Mar 31, 2023 | 10.29 Mn |
| Dec 31, 2022 | 13.97 Mn |
| Sep 30, 2022 | 17.85 Mn |
| Jun 30, 2022 | 5.93 Mn |
| Mar 31, 2022 | -7.44 Mn |
| Dec 31, 2021 | -8.56 Mn |
| Sep 30, 2021 | -58.18 Mn |
API Access
Team EBITDA 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=ebitda&ticker=TISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();