Tetra Technologies (TTI) Assets (2009 - 2026)
Tetra Technologies (TTI) posted Assets of $800.11 million for Q2 2026, up 23.9% from $645.58 million a year earlier and up 20.8% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies' Assets came in at $675.76 million, up 11.7% from FY2024.
- Annual Assets has increased for four consecutive years, though with a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- In prior years, Tetra Technologies' Assets was $605.2 million in FY2024 (+26.4%), $478.96 million in FY2023 (+10.3%), $434.37 million in FY2022 (+9.1%) and $398.27 million in FY2021 (-64.8%).
- The Q2 2026 figure stands as the highest quarterly Assets since Q4 2020.
- On a year-over-year basis, Assets has increased in each of the last 16 quarters, with growth averaging 14.3% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q1 2024, with growth of 38.9%; the weakest was Q4 2021, with a decline of 64.8%.
- According to Business Quant data, Assets for the three prior quarters was $662.35 million (Q1 2026), $675.76 million (Q4 2025) and $655.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 55.53 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 52.62 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 10.37 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 25.83 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 11.20 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 7.24 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 5.10 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 15.17 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 5.45 Bn |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | 800.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 800.11 Mn |
| Mar 31, 2026 | 662.35 Mn |
| Dec 31, 2025 | 675.76 Mn |
| Sep 30, 2025 | 655.17 Mn |
| Jun 30, 2025 | 645.58 Mn |
| Mar 31, 2025 | 614.09 Mn |
| Dec 31, 2024 | 605.20 Mn |
| Sep 30, 2024 | 501.16 Mn |
| Jun 30, 2024 | 605.20 Mn |
| Mar 31, 2024 | 605.20 Mn |
| Dec 31, 2023 | 478.96 Mn |
| Sep 30, 2023 | 472.42 Mn |
| Jun 30, 2023 | 469.99 Mn |
| Mar 31, 2023 | 435.58 Mn |
| Dec 31, 2022 | 434.37 Mn |
| Sep 30, 2022 | 413.49 Mn |
| Jun 30, 2022 | 416.61 Mn |
| Mar 31, 2022 | 406.77 Mn |
| Dec 31, 2021 | 398.27 Mn |
| Sep 30, 2021 | 411.24 Mn |
API Access
Tetra Technologies Assets 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=assets&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();