Forum Energy Technologies (FET) EV to EBITDA (2012 - 2026)
Forum Energy Technologies' (FET) EV to EBITDA was 7.68 for Q2 2026, down 20.3% from the prior quarter.
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Analysis
Forum Energy Technologies (FET) EV to EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Forum Energy Technologies' EV to EBITDA came in at 6.17; for FY2025, it came in at 5.97.
- By year, EV to EBITDA came in at 3.25 in FY2023 (+49.0%) and 2.18 in FY2022.
- Five-year quarterly EV to EBITDA spans a low of 2.17 in Q3 2024 and a high of 23.38 in Q1 2022.
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 | Forum Energy Technologies | 910.50 Mn | 772.94 Mn | 71.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.68 |
| Mar 31, 2026 | 9.64 |
| Dec 31, 2025 | 5.97 |
| Sep 30, 2024 | 2.17 |
| Jun 30, 2024 | 2.73 |
| Mar 31, 2024 | 3.45 |
| Dec 31, 2023 | 3.25 |
| Sep 30, 2023 | 3.29 |
| Jun 30, 2023 | 3.60 |
| Mar 31, 2023 | 3.21 |
| Dec 31, 2022 | 2.18 |
| Sep 30, 2022 | 3.07 |
| Jun 30, 2022 | 4.44 |
| Mar 31, 2022 | 23.38 |
| Sep 30, 2018 | 33.74 |
| Jun 30, 2018 | 103.22 |
| Sep 30, 2015 | 5.01 |
| Jun 30, 2015 | 6.60 |
| Mar 31, 2015 | 5.38 |
| Dec 31, 2014 | 5.37 |
API Access
Forum Energy 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=FET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "FET", "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=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();