Forum Energy Technologies (FET) Selling, General & Administrative (2011 - 2026)
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Analysis
Forum Energy Technologies (FET) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 84.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 732.00 Mn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 67.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 182.70 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 27.29 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 297.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 182.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 62.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 25.70 Mn |
| 10 | Forum Energy Technologies | 827.87 Mn | 686.84 Mn | 74.41 Mn | 53.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 53.28 Mn |
| Jun 30, 2026 | 50.26 Mn |
| Mar 31, 2026 | 50.01 Mn |
| Dec 31, 2025 | 48.89 Mn |
| Sep 30, 2025 | 50.45 Mn |
| Jun 30, 2025 | 51.19 Mn |
| Mar 31, 2025 | 49.38 Mn |
| Dec 31, 2024 | 54.64 Mn |
| Sep 30, 2024 | 56.33 Mn |
| Jun 30, 2024 | 53.69 Mn |
| Mar 31, 2024 | 54.67 Mn |
| Dec 31, 2023 | 45.03 Mn |
| Sep 30, 2023 | 45.50 Mn |
| Jun 30, 2023 | 44.36 Mn |
| Mar 31, 2023 | 45.51 Mn |
| Dec 31, 2022 | 47.96 Mn |
| Sep 30, 2022 | 43.71 Mn |
| Jun 30, 2022 | 43.50 Mn |
| Mar 31, 2022 | 44.31 Mn |
| Dec 31, 2021 | 42.89 Mn |
API Access
Forum Energy Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=FET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();