Tetra Technologies (TTI) Selling, General & Administrative (2009 - 2026)
Tetra Technologies (TTI) reported Selling, General & Administrative of $25.58 million for Q2 2026, up 1.3% from $25.26 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tetra Technologies' Selling, General & Administrative came in at $102.16 million, up 7.6% year-over-year; for FY2025, it came in at $100.56 million, up 11.8% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $89.97 million in FY2024 (-6.9%), $96.59 million in FY2023 (+5.1%), $91.94 million in FY2022 (+22.5%) and $75.05 million in FY2021 (-2.1%).
- Five-year quarterly Selling, General & Administrative spans a low of $18.71 million in Q3 2021 and a high of $26.23 million in Q2 2023.
- Year over year, Selling, General & Administrative has now increased in each of the last six quarters, with growth averaging 5.8% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2022 (growth of 36.1%); the low point was Q2 2024 (a decline of 15.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.41 million (Q1 2026), $25.93 million (Q4 2025) and $25.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 27.20 Mn |
| 10 | Tetra Technologies | 870.67 Mn | 529.16 Mn | 45.71 Mn | 25.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.58 Mn |
| Mar 31, 2026 | 25.41 Mn |
| Dec 31, 2025 | 25.93 Mn |
| Sep 30, 2025 | 25.24 Mn |
| Jun 30, 2025 | 25.26 Mn |
| Mar 31, 2025 | 24.13 Mn |
| Dec 31, 2024 | 23.13 Mn |
| Sep 30, 2024 | 22.41 Mn |
| Jun 30, 2024 | 22.14 Mn |
| Mar 31, 2024 | 22.30 Mn |
| Dec 31, 2023 | 23.34 Mn |
| Sep 30, 2023 | 23.84 Mn |
| Jun 30, 2023 | 26.23 Mn |
| Mar 31, 2023 | 23.19 Mn |
| Dec 31, 2022 | 23.85 Mn |
| Sep 30, 2022 | 23.83 Mn |
| Jun 30, 2022 | 23.62 Mn |
| Mar 31, 2022 | 20.64 Mn |
| Dec 31, 2021 | 18.97 Mn |
| Sep 30, 2021 | 18.71 Mn |
API Access
Tetra Technologies 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=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TTI", "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=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();