Tetra Technologies (TTI) EV to EBITDA (2010 - 2026)
Tetra Technologies' (TTI) EV to EBITDA came in at 8.73 for Q3 2026, up 26.4% from 6.91 a year earlier but down 50.5% 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 Sep 30, 2026, EV to EBITDA at Tetra Technologies was 5.66, up 13.8% year-over-year; for FY2025, it came in at 12.52, up 168.5% from FY2024.
- In prior years, Tetra Technologies' EV to EBITDA was 4.66 in FY2024 (-28.1%) and 6.48 in FY2023.
- Quarterly EV to EBITDA has run from a low of 3.70 in Q2 2025 to a high of 17.63 in Q2 2026 over five years.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 17.63 (Q2 2026), 12.59 (Q1 2026) and 12.52 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 73.81 Bn | 70.26 Bn | 1.57 Bn |
| 2 | Baker Hughes | 47.88 Bn | 9.61 Bn | 1.96 Bn |
| 3 | Halliburton | 26.33 Bn | 18.23 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.25 Bn | 21.22 Bn | 728.70 Mn |
| 5 | Noble | 6.55 Bn | 4.63 Bn | 228.22 Mn |
| 6 | Nov | 6.31 Bn | 1.20 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.04 Bn | 1.78 Bn | 374.00 Mn |
| 8 | Transocean | 5.85 Bn | 3.89 Bn | 348.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.27 Bn | 176.30 Mn |
| 10 | Tetra Technologies | 893.65 Mn | 504.93 Mn | 35.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.73 |
| Jun 30, 2026 | 17.63 |
| Mar 31, 2026 | 12.59 |
| Dec 31, 2025 | 12.52 |
| Sep 30, 2025 | 6.91 |
| Jun 30, 2025 | 3.70 |
| Mar 31, 2020 | 2.64 |
| Dec 31, 2019 | 8.11 |
| Sep 30, 2019 | 1.69 |
| Jun 30, 2019 | 1.57 |
| Mar 31, 2019 | 1.98 |
| Dec 31, 2018 | 1.63 |
| Sep 30, 2018 | 5.19 |
| Jun 30, 2018 | 4.88 |
| Mar 31, 2018 | 4.56 |
| Dec 31, 2017 | 6.07 |
| Sep 30, 2017 | 4.33 |
| Jun 30, 2017 | 4.65 |
| Mar 31, 2017 | 6.49 |
| Dec 31, 2016 | 7.41 |
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();