Tetra Technologies (TTI) Cash & Equivalents (2009 - 2026)
Tetra Technologies (TTI) reported Cash & Equivalents of $154.58 million for Q2 2026, up 124.9% from $68.75 million a year earlier and up 335.8% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies posted Cash & Equivalents of $72.63 million, up 96.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $36.99 million in FY2024 (-29.5%), $52.49 million in FY2023 (+286.1%), $13.59 million in FY2022 (-56.9%) and $31.55 million in FY2021 (-53.1%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2011.
- Year over year, Cash & Equivalents gained in six of the last eight quarters, with growth averaging 44.5%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2023 (growth of 286.1%); the low point was Q4 2022 (a decline of 56.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.47 million (Q1 2026), $72.63 million (Q4 2025) and $67.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 2.74 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 15.73 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 991.80 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 2.05 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.16 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 456.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 509.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 1.10 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 541.20 Mn |
| 10 | Tetra Technologies | 870.67 Mn | 529.16 Mn | 45.71 Mn | 154.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.58 Mn |
| Mar 31, 2026 | 35.47 Mn |
| Dec 31, 2025 | 72.63 Mn |
| Sep 30, 2025 | 67.15 Mn |
| Jun 30, 2025 | 68.75 Mn |
| Mar 31, 2025 | 41.00 Mn |
| Dec 31, 2024 | 36.99 Mn |
| Sep 30, 2024 | 48.36 Mn |
| Jun 30, 2024 | 37.71 Mn |
| Mar 31, 2024 | 35.94 Mn |
| Dec 31, 2023 | 52.49 Mn |
| Sep 30, 2023 | 33.83 Mn |
| Jun 30, 2023 | 27.68 Mn |
| Mar 31, 2023 | 16.68 Mn |
| Dec 31, 2022 | 13.59 Mn |
| Sep 30, 2022 | 25.25 Mn |
| Jun 30, 2022 | 36.33 Mn |
| Mar 31, 2022 | 32.85 Mn |
| Dec 31, 2021 | 31.55 Mn |
| Sep 30, 2021 | 41.86 Mn |
API Access
Tetra Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();