Tetra Technologies (TTI) Total Liabilities (2009 - 2026)
Tetra Technologies' Total Liabilities came in at $393.83 million for Q3 2026, up 9.5% from $359.75 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies' Total Liabilities was $392.01 million, up 11.4% from FY2024.
- Total Liabilities has increased in each of the last four years, though with a five-year compound annual growth rate of -18.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $351.89 million in FY2024 (+6.1%), $331.63 million in FY2023 (+1.1%), $327.97 million in FY2022 (+9.4%) and $299.7 million in FY2021 (-71.8%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities since Q2 2024.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2024 (growth of 43.7%), and the weakest in Q4 2021 (a decline of 71.8%).
- Business Quant data shows TTI's Total Liabilities at $393.59 million (Q2 2026), $376.73 million (Q1 2026) and $392.01 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.81 Bn | 70.26 Bn | 1.57 Bn | 28.99 Bn |
| 2 | Baker Hughes | 47.88 Bn | 9.61 Bn | 1.96 Bn | 38.50 Bn |
| 3 | Halliburton | 26.33 Bn | 18.23 Bn | 840.00 Mn | 14.91 Bn |
| 4 | TechnipFMC | 25.25 Bn | 21.22 Bn | 728.70 Mn | 7.10 Bn |
| 5 | Noble | 6.55 Bn | 4.63 Bn | 228.22 Mn | 2.87 Bn |
| 6 | Nov | 6.31 Bn | 1.20 Bn | 439.00 Mn | 4.92 Bn |
| 7 | Weatherford International | 6.04 Bn | 1.78 Bn | 374.00 Mn | 3.34 Bn |
| 8 | Transocean | 5.85 Bn | 3.89 Bn | 348.00 Mn | 6.61 Bn |
| 9 | Valaris | 5.52 Bn | 3.27 Bn | 176.30 Mn | 2.21 Bn |
| 10 | Tetra Technologies | 893.65 Mn | 504.93 Mn | 35.10 Mn | 393.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 393.83 Mn |
| Jun 30, 2026 | 392.32 Mn |
| Mar 31, 2026 | 376.73 Mn |
| Dec 31, 2025 | 392.01 Mn |
| Sep 30, 2025 | 358.49 Mn |
| Jun 30, 2025 | 355.96 Mn |
| Mar 31, 2025 | 342.34 Mn |
| Dec 31, 2024 | 351.89 Mn |
| Sep 30, 2024 | 345.75 Mn |
| Jun 30, 2024 | 451.62 Mn |
| Mar 31, 2024 | 459.05 Mn |
| Dec 31, 2023 | 331.63 Mn |
| Sep 30, 2023 | 331.28 Mn |
| Jun 30, 2023 | 332.94 Mn |
| Mar 31, 2023 | 319.43 Mn |
| Dec 31, 2022 | 327.97 Mn |
| Sep 30, 2022 | 311.73 Mn |
| Jun 30, 2022 | 311.08 Mn |
| Mar 31, 2022 | 299.87 Mn |
| Dec 31, 2021 | 299.70 Mn |
API Access
Tetra Technologies Total Liabilities 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=total-liabilities&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();