Tetra Technologies (TTI) Intangibles (2009 - 2026)
Tetra Technologies' Intangibles was $19.74 million in Q2 2026, down 15.1% from $23.24 million a year earlier and down 4.2% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Tetra Technologies came in at $21.46 million, down 13.9% from FY2024.
- Intangibles has now declined for seven consecutive years, with a five-year compound annual growth rate of -12.3% (FY2020 to FY2025).
- In earlier years, Intangibles was $24.92 million in FY2024 (-14.4%), $29.13 million in FY2023 (-11.6%), $32.96 million in FY2022 (-10.8%) and $36.96 million in FY2021 (-10.9%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q4 2011.
- Compared with a year earlier, Intangibles has declined for 30 straight quarters, with an average decline of 14.2% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 10.5% (Q3 2023) and 44.3% (Q3 2021) over the last five years.
- Per Business Quant data, TTI's Intangibles in the three quarters before Q2 2026 was $20.6 million (Q1 2026), $21.46 million (Q4 2025) and $22.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 4.88 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 4.00 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 381.10 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | - |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 438.00 Mn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | - |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 265.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | - |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | - |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | 19.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.74 Mn |
| Mar 31, 2026 | 20.60 Mn |
| Dec 31, 2025 | 21.46 Mn |
| Sep 30, 2025 | 22.34 Mn |
| Jun 30, 2025 | 23.24 Mn |
| Mar 31, 2025 | 24.07 Mn |
| Dec 31, 2024 | 24.92 Mn |
| Sep 30, 2024 | 26.03 Mn |
| Jun 30, 2024 | 27.03 Mn |
| Mar 31, 2024 | 28.07 Mn |
| Dec 31, 2023 | 29.13 Mn |
| Sep 30, 2023 | 30.13 Mn |
| Jun 30, 2023 | 31.10 Mn |
| Mar 31, 2023 | 32.01 Mn |
| Dec 31, 2022 | 32.96 Mn |
| Sep 30, 2022 | 33.67 Mn |
| Jun 30, 2022 | 34.75 Mn |
| Mar 31, 2022 | 35.85 Mn |
| Dec 31, 2021 | 36.96 Mn |
| Sep 30, 2021 | 38.07 Mn |
API Access
Tetra Technologies Intangibles 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=intangibles&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();