Tetra Technologies (TTI) Non-Current Assets (2009 - 2026)
Tetra Technologies' Non-Current Assets was $389.14 million in Q2 2026, up 16.5% from $333.94 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Tetra Technologies came in at $359.08 million, up 7.0% from FY2024.
- Non-Current Assets has now increased for four consecutive years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $335.57 million in FY2024 (+70.4%), $196.95 million in FY2023 (+0.5%), $195.92 million in FY2022 (+4.3%) and $187.88 million in FY2021 (-6.7%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets since Q3 2020.
- Compared with a year earlier, Non-Current Assets has increased for 15 straight quarters, with growth averaging 22.3% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2024 (growth of 70.4%); the worst was Q3 2021 (a decline of 76.1%).
- Per Business Quant data, TTI's Non-Current Assets in the three quarters before Q2 2026 was $365.18 million (Q1 2026), $359.08 million (Q4 2025) and $341.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 35.29 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 22.04 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 4.47 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 13.95 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 5.41 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 6.06 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 1.80 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 13.26 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 4.25 Bn |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | 389.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389.14 Mn |
| Mar 31, 2026 | 365.18 Mn |
| Dec 31, 2025 | 359.08 Mn |
| Sep 30, 2025 | 341.29 Mn |
| Jun 30, 2025 | 333.94 Mn |
| Mar 31, 2025 | 323.03 Mn |
| Dec 31, 2024 | 335.57 Mn |
| Sep 30, 2024 | 222.63 Mn |
| Jun 30, 2024 | 315.57 Mn |
| Mar 31, 2024 | 317.63 Mn |
| Dec 31, 2023 | 196.95 Mn |
| Sep 30, 2023 | 201.99 Mn |
| Jun 30, 2023 | 209.04 Mn |
| Mar 31, 2023 | 198.77 Mn |
| Dec 31, 2022 | 195.92 Mn |
| Sep 30, 2022 | 189.19 Mn |
| Jun 30, 2022 | 192.92 Mn |
| Mar 31, 2022 | 189.52 Mn |
| Dec 31, 2021 | 187.88 Mn |
| Sep 30, 2021 | 201.85 Mn |
API Access
Tetra Technologies Non-Current Assets 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=non-current-assets&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();