Tetra Technologies (TTI) Enterprise Value (2009 - 2026)
Tetra Technologies (TTI) recorded Enterprise Value of $1.52 billion in Q2 2026, up 312.6% from $368.84 million a year earlier and up 36.4% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Tetra Technologies' Enterprise Value came in at $1.34 billion as of Jun 30, 2026, up 552.9% year-over-year; for FY2025, it came in at $1.18 billion, up 191.7% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 57.4% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $405.48 million in FY2024 (-24.3%), $535.73 million in FY2023 (+24.5%), $430.35 million in FY2022 (+30.5%) and $329.82 million in FY2021 (+169.6%).
- The Q2 2026 figure is the highest quarterly Enterprise Value in data going back to Q2 2009.
- On a year-over-year basis, Enterprise Value has increased for four consecutive quarters, with growth averaging 82.6% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 317.5% in Q3 2021, against a decline of 54.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.12 billion (Q1 2026), $1.18 billion (Q4 2025) and $689.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.52 Bn |
| Mar 31, 2026 | 1.12 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 689.67 Mn |
| Jun 30, 2025 | 368.84 Mn |
| Mar 31, 2025 | 395.18 Mn |
| Dec 31, 2024 | 405.48 Mn |
| Sep 30, 2024 | 359.00 Mn |
| Jun 30, 2024 | 415.84 Mn |
| Mar 31, 2024 | 543.75 Mn |
| Dec 31, 2023 | 535.73 Mn |
| Sep 30, 2023 | 794.82 Mn |
| Jun 30, 2023 | 408.97 Mn |
| Mar 31, 2023 | 324.99 Mn |
| Dec 31, 2022 | 430.35 Mn |
| Sep 30, 2022 | 435.29 Mn |
| Jun 30, 2022 | 483.20 Mn |
| Mar 31, 2022 | 490.86 Mn |
| Dec 31, 2021 | 329.82 Mn |
| Sep 30, 2021 | 353.08 Mn |
API Access
Tetra Technologies Enterprise Value 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=enterprise-value&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();