Tetra Technologies (TTI) Total Current Liabilities (2009 - 2026)
Tetra Technologies (TTI) recorded Total Current Liabilities of $167.28 million in Q2 2026, up 32.4% from $126.34 million a year earlier and up 13.7% from the prior quarter.
Tetra Technologies (TTI) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies reported Total Current Liabilities of $161.21 million, up 30.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -27.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $123.35 million in FY2024 (-2.1%), $125.96 million in FY2023 (+1.4%), $124.27 million in FY2022 (+27.9%) and $97.14 million in FY2021 (-87.8%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 32.4% in Q2 2026, against a decline of 87.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $147.11 million (Q1 2026), $161.21 million (Q4 2025) and $133.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 14.07 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 14.60 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 5.46 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 5.89 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 2.39 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 613.82 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 1.41 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 1.20 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 774.80 Mn |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | 167.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.28 Mn |
| Mar 31, 2026 | 147.11 Mn |
| Dec 31, 2025 | 161.21 Mn |
| Sep 30, 2025 | 133.29 Mn |
| Jun 30, 2025 | 126.34 Mn |
| Mar 31, 2025 | 114.37 Mn |
| Dec 31, 2024 | 123.35 Mn |
| Sep 30, 2024 | 119.41 Mn |
| Jun 30, 2024 | 120.34 Mn |
| Mar 31, 2024 | 117.93 Mn |
| Dec 31, 2023 | 125.96 Mn |
| Sep 30, 2023 | 126.54 Mn |
| Jun 30, 2023 | 125.83 Mn |
| Mar 31, 2023 | 111.45 Mn |
| Dec 31, 2022 | 124.27 Mn |
| Sep 30, 2022 | 111.50 Mn |
| Jun 30, 2022 | 109.57 Mn |
| Mar 31, 2022 | 97.04 Mn |
| Dec 31, 2021 | 97.14 Mn |
| Sep 30, 2021 | 92.58 Mn |
Tetra Technologies Total 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-current-liabilities&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();