Tetra Technologies (TTI) EV to EBIT (2010 - 2026)
Tetra Technologies' (TTI) EV to EBIT came in at 16.50 for Q3 2026, up 45.7% from 11.33 a year earlier but down 49.5% from the prior quarter.
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Analysis
Tetra Technologies (TTI) EV to EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EV to EBIT at Tetra Technologies was 10.68, up 31.1% year-over-year; for FY2025, it came in at 21.35, up 162.7% from FY2024.
- In prior years, Tetra Technologies' EV to EBIT was 8.13 in FY2024 (-31.8%) and 11.92 in FY2023.
- Quarterly EV to EBIT has run from a low of 5.98 in Q2 2025 to a high of 32.67 in Q2 2026 over five years.
- According to Business Quant data, EV to EBIT for the three prior quarters was 32.67 (Q2 2026), 22.58 (Q1 2026) and 21.35 (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 | 16.50 |
| Jun 30, 2026 | 32.67 |
| Mar 31, 2026 | 22.58 |
| Dec 31, 2025 | 21.35 |
| Sep 30, 2025 | 11.33 |
| Jun 30, 2025 | 5.98 |
| Sep 30, 2019 | 4.60 |
| Jun 30, 2019 | 4.32 |
| Mar 31, 2019 | 5.27 |
| Dec 31, 2018 | 4.48 |
| Sep 30, 2018 | 123.28 |
| Jun 30, 2018 | 55.12 |
| Dec 31, 2015 | 23.78 |
| Sep 30, 2015 | 26.02 |
| Mar 31, 2014 | 85.95 |
| Dec 31, 2013 | 38.24 |
| Sep 30, 2013 | 28.28 |
| Jun 30, 2013 | 22.50 |
| Mar 31, 2013 | 20.96 |
| Dec 31, 2012 | 16.08 |
API Access
Tetra Technologies EV to EBIT 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-ebit&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();