Tetra Technologies (TTI) Non-Current Assets (2009 - 2026)
Tetra Technologies' Non-Current Assets was $415.2 million in Q3 2026, up 21.7% from $341.29 million a year earlier and up 6.7% 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 Q3 2026 figure marks the highest quarterly Non-Current Assets since Q3 2020.
- Compared with a year earlier, Non-Current Assets has increased for 16 straight quarters, with growth averaging 23.7% 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 Q4 2021 (a decline of 6.7%).
- Per Business Quant data, TTI's Non-Current Assets in the three quarters before Q3 2026 was $389.14 million (Q2 2026), $365.18 million (Q1 2026) and $359.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 35.70 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 37.42 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 13.93 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 4.52 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 5.89 Bn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 5.41 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 1.93 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 13.08 Bn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 4.22 Bn |
| 10 | Tetra Technologies | 885.97 Mn | 495.98 Mn | 35.10 Mn | 415.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 415.20 Mn |
| 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 |
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();