Tetra Technologies (TTI) Total Non-Current Liabilities (2009 - 2026)
Tetra Technologies (TTI) recorded Total Non-Current Liabilities of $226.31 million in Q2 2026, down 1.4% from $229.62 million a year earlier and down 1.4% 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 Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q2 2024.
- On a year-over-year basis, Total Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 3.1%.
- 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 76.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $229.62 million (Q1 2026), $232.06 million (Q4 2025) and $226.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 26.35 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 31.14 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 6.73 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 14.12 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 4.69 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 2.51 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 3.10 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 5.59 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 1.89 Bn |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | 226.31 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 218.58 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();