Tetra Technologies (TTI) EV to EBITDA (2010 - 2026)
Tetra Technologies' (TTI) EV to EBITDA came in at 18.09 for Q2 2026, up 381.9% from 3.75 a year earlier and up 40.3% from the prior quarter.
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Analysis
Tetra Technologies (TTI) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Tetra Technologies was 15.89, up 662.6% year-over-year; for FY2025, it came in at 12.79, up 170.0% from FY2024.
- In prior years, Tetra Technologies' EV to EBITDA was 4.74 in FY2024 (-29.9%) and 6.76 in FY2023.
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q2 2012.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 12.89 (Q1 2026), 12.79 (Q4 2025) and 7.03 (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 | 18.09 |
| Mar 31, 2026 | 12.89 |
| Dec 31, 2025 | 12.79 |
| Sep 30, 2025 | 7.03 |
| Jun 30, 2025 | 3.75 |
| Mar 31, 2020 | 2.88 |
| Dec 31, 2019 | 9.09 |
| Sep 30, 2019 | 1.74 |
| Jun 30, 2019 | 1.60 |
| Mar 31, 2019 | 2.02 |
| Dec 31, 2018 | 1.67 |
| Sep 30, 2018 | 5.38 |
| Jun 30, 2018 | 5.06 |
| Mar 31, 2018 | 4.77 |
| Dec 31, 2017 | 6.35 |
| Sep 30, 2017 | 4.55 |
| Jun 30, 2017 | 4.86 |
| Mar 31, 2017 | 6.71 |
| Dec 31, 2016 | 7.83 |
| Sep 30, 2016 | 5.21 |
API Access
Tetra Technologies EV to EBITDA 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=ev-to-ebitda&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();