Forum Energy Technologies (FET) Total Liabilities (2011 - 2026)
Forum Energy Technologies' Total Liabilities was $489.83 million in Q3 2026, up 3.6% from $472.78 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Forum Energy Technologies (FET) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Forum Energy Technologies came in at $461.31 million, down 7.0% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $496.05 million in FY2024 (+21.5%), $408.43 million in FY2023 (-22.6%), $527.72 million in FY2022 (+14.2%) and $462.21 million in FY2021 (-4.4%).
- The Q3 2026 figure marks the highest quarterly Total Liabilities since Q4 2024.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2024 (growth of 32.8%); the worst was Q4 2023 (a decline of 22.6%).
- Per Business Quant data, FET's Total Liabilities in the three quarters before Q3 2026 was $480.93 million (Q2 2026), $482.38 million (Q1 2026) and $461.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 28.99 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 38.50 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 14.91 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 7.10 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 2.87 Bn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 4.92 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 3.34 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 6.61 Bn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 2.21 Bn |
| 10 | Forum Energy Technologies | 827.87 Mn | 686.84 Mn | 74.41 Mn | 489.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 489.83 Mn |
| Jun 30, 2026 | 480.93 Mn |
| Mar 31, 2026 | 482.38 Mn |
| Dec 31, 2025 | 461.31 Mn |
| Sep 30, 2025 | 472.78 Mn |
| Jun 30, 2025 | 475.91 Mn |
| Mar 31, 2025 | 470.07 Mn |
| Dec 31, 2024 | 496.05 Mn |
| Sep 30, 2024 | 530.21 Mn |
| Jun 30, 2024 | 534.77 Mn |
| Mar 31, 2024 | 575.19 Mn |
| Dec 31, 2023 | 408.43 Mn |
| Sep 30, 2023 | 411.75 Mn |
| Jun 30, 2023 | 424.43 Mn |
| Mar 31, 2023 | 433.11 Mn |
| Dec 31, 2022 | 527.72 Mn |
| Sep 30, 2022 | 487.65 Mn |
| Jun 30, 2022 | 499.04 Mn |
| Mar 31, 2022 | 476.17 Mn |
| Dec 31, 2021 | 462.21 Mn |
API Access
Forum Energy Technologies Total Liabilities 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=total-liabilities&ticker=FET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();