Tetra Technologies (TTI) Total Non-Current Liabilities (2009 - 2026)
Tetra Technologies (TTI) recorded Total Non-Current Liabilities of $232.93 million in Q3 2026, up 2.9% from $226.46 million a year earlier and up 2.9% from the prior quarter.
Tetra Technologies (TTI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies reported Total Non-Current Liabilities of $232.06 million, up 1.5% from FY2024.
- Annual Total Non-Current Liabilities has increased for four straight years, though with a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $228.54 million in FY2024 (+11.1%), $205.67 million in FY2023 (+1.0%), $203.7 million in FY2022 (+0.6%) and $202.56 million in FY2021 (-23.2%).
- The Q3 2026 figure is the highest quarterly Total Non-Current Liabilities since Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 2.1%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 11.1% in Q4 2024, against a decline of 23.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $226.31 million (Q2 2026), $229.62 million (Q1 2026) and $232.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.81 Bn | 70.26 Bn | 1.57 Bn | 27.03 Bn |
| 2 | Baker Hughes | 47.88 Bn | 9.61 Bn | 1.96 Bn | 36.63 Bn |
| 3 | Halliburton | 26.33 Bn | 18.23 Bn | 840.00 Mn | 13.84 Bn |
| 4 | TechnipFMC | 25.25 Bn | 21.22 Bn | 728.70 Mn | 6.25 Bn |
| 5 | Noble | 6.55 Bn | 4.63 Bn | 228.22 Mn | 2.61 Bn |
| 6 | Nov | 6.31 Bn | 1.20 Bn | 439.00 Mn | 4.62 Bn |
| 7 | Weatherford International | 6.04 Bn | 1.78 Bn | 374.00 Mn | 2.99 Bn |
| 8 | Transocean | 5.85 Bn | 3.89 Bn | 348.00 Mn | 5.31 Bn |
| 9 | Valaris | 5.52 Bn | 3.27 Bn | 176.30 Mn | 1.87 Bn |
| 10 | Tetra Technologies | 893.65 Mn | 504.93 Mn | 35.10 Mn | 232.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 232.93 Mn |
| Jun 30, 2026 | 226.31 Mn |
| Mar 31, 2026 | 229.62 Mn |
| Dec 31, 2025 | 232.06 Mn |
| Sep 30, 2025 | 226.46 Mn |
| Jun 30, 2025 | 229.62 Mn |
| Mar 31, 2025 | 227.97 Mn |
| Dec 31, 2024 | 228.54 Mn |
| Sep 30, 2024 | 226.33 Mn |
| Jun 30, 2024 | 225.81 Mn |
| Mar 31, 2024 | 227.25 Mn |
| Dec 31, 2023 | 205.67 Mn |
| Sep 30, 2023 | 204.74 Mn |
| Jun 30, 2023 | 207.10 Mn |
| Mar 31, 2023 | 207.98 Mn |
| Dec 31, 2022 | 203.70 Mn |
| Sep 30, 2022 | 200.23 Mn |
| Jun 30, 2022 | 201.51 Mn |
| Mar 31, 2022 | 202.83 Mn |
| Dec 31, 2021 | 202.56 Mn |
Tetra Technologies Total Non-Current 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-non-current-liabilities&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();