Team (TISI) Selling, General & Administrative (2010 - 2026)
Team (TISI) recorded Selling, General & Administrative of $46.75 million in Q2 2026, down 7.6% from $50.57 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Team (TISI) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Team's Selling, General & Administrative came in at $203.2 million as of Jun 30, 2026, down 0.4% year-over-year; for FY2025, it was $217.64 million, up 2.2% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $213.01 million in FY2024 (-5.1%), $224.43 million in FY2023 (-7.0%), $241.4 million in FY2022 (-2.0%) and $246.21 million in FY2021 (-5.6%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q4 2021.
- On a year-over-year basis, Selling, General & Administrative rose in two of the last eight quarters, with an average decline of 3.9%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 29.9% in Q4 2022, against a decline of 29.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $48.06 million (Q1 2026), $51.68 million (Q4 2025) and $56.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.80 Bn | 109.09 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 33.10 Bn | 32.29 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 16.89 Bn | 13.93 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.57 Bn | 16.11 Bn | 582.90 Mn | 326.77 Mn |
| 6 | Gartner | 15.27 Bn | 8.96 Bn | 1.19 Bn | 764.59 Mn |
| 7 | UL Solutions | 14.70 Bn | 13.46 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Aramark | 13.90 Bn | 11.85 Bn | 430.34 Mn | 78.63 Mn |
| 9 | Rentokil Initial | 11.45 Bn | 4.96 Bn | - | - |
| 10 | Team | 111.49 Mn | 39.71 Mn | 54.40 Mn | 46.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.75 Mn |
| Mar 31, 2026 | 48.06 Mn |
| Dec 31, 2025 | 51.68 Mn |
| Sep 30, 2025 | 56.70 Mn |
| Jun 30, 2025 | 50.57 Mn |
| Mar 31, 2025 | 47.97 Mn |
| Dec 31, 2024 | 55.14 Mn |
| Sep 30, 2024 | 50.37 Mn |
| Jun 30, 2024 | 52.40 Mn |
| Mar 31, 2024 | 55.12 Mn |
| Dec 31, 2023 | 59.32 Mn |
| Sep 30, 2023 | 54.05 Mn |
| Jun 30, 2023 | 56.32 Mn |
| Mar 31, 2023 | 54.75 Mn |
| Dec 31, 2022 | 57.22 Mn |
| Sep 30, 2022 | 57.75 Mn |
| Jun 30, 2022 | 62.91 Mn |
| Mar 31, 2022 | 63.52 Mn |
| Dec 31, 2021 | 44.05 Mn |
| Sep 30, 2021 | 67.55 Mn |
API Access
Team Selling, General & Administrative 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=selling-general-and-administrative&ticker=TISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();