Tetra Technologies (TTI) EV to FCF (2010 - 2026)
Tetra Technologies' (TTI) EV to FCF came in at 415.64 for Q1 2026, up 586.6% from the prior quarter.
Analysis
Tetra Technologies (TTI) EV to FCF (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EV to FCF at Tetra Technologies was 330.76; for FY2025, it was 60.53.
- In prior years, Tetra Technologies' EV to FCF was 16.71 in FY2023.
- The Q1 2026 figure stands as the highest quarterly EV to FCF since Q3 2021.
- According to Business Quant data, EV to FCF for the three prior quarters was 60.53 (Q4 2025), 111.26 (Q3 2025) and 33.93 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | Tetra Technologies | 870.67 Mn | 529.16 Mn | 45.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 415.64 |
| Dec 31, 2025 | 60.53 |
| Sep 30, 2025 | 111.26 |
| Jun 30, 2025 | 33.93 |
| Mar 31, 2024 | 87.56 |
| Dec 31, 2023 | 16.71 |
| Sep 30, 2023 | 118.24 |
| Sep 30, 2021 | 686.92 |
| Jun 30, 2021 | 267.05 |
| Mar 31, 2021 | 6.76 |
| Dec 31, 2020 | 2.57 |
| Sep 30, 2020 | 2.78 |
| Jun 30, 2020 | 2.53 |
| Mar 31, 2020 | 7.77 |
| Sep 30, 2019 | 76.92 |
| Dec 31, 2017 | 51.64 |
| Sep 30, 2017 | 14.72 |
| Dec 31, 2016 | 16.44 |
| Sep 30, 2016 | 10.97 |
| Jun 30, 2016 | 8.16 |
API Access
Tetra Technologies EV to FCF 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-fcf&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();