Forum Energy Technologies (FET) Long-Term Debt Repayments (2011 - 2026)
Forum Energy Technologies' Long-Term Debt Repayments was $170.6 million in Q3 2026, up 15.5% from $147.67 million a year earlier and up 23.9% from the prior quarter.
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Analysis
Forum Energy Technologies (FET) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Forum Energy Technologies' Long-Term Debt Repayments was $598.14 million through Sep 30, 2026, down 11.3% year-over-year; for FY2025, it came in at $617.04 million, down 18.8% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $759.78 million in FY2024 (+67.7%), $453.01 million in FY2023 (-16.9%), $545.38 million in FY2022 (+644.7%) and $73.24 million in FY2021 (-65.2%).
- The Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q4 2024.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with growth averaging 5.6%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2022 (growth of 251.9%); the worst was Q4 2021 (a decline of 99.5%).
- Per Business Quant data, FET's Long-Term Debt Repayments in the three quarters before Q3 2026 was $137.69 million (Q2 2026), $120.58 million (Q1 2026) and $169.28 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | -14.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | - |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | -800,000.00 |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 1.10 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 7.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 8.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 132.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | - |
| 10 | Forum Energy Technologies | 827.87 Mn | 686.84 Mn | 74.41 Mn | 170.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 170.60 Mn |
| Jun 30, 2026 | 137.69 Mn |
| Mar 31, 2026 | 120.58 Mn |
| Dec 31, 2025 | 169.28 Mn |
| Sep 30, 2025 | 147.67 Mn |
| Jun 30, 2025 | 151.05 Mn |
| Mar 31, 2025 | 149.04 Mn |
| Dec 31, 2024 | 226.64 Mn |
| Sep 30, 2024 | 206.35 Mn |
| Jun 30, 2024 | 177.94 Mn |
| Mar 31, 2024 | 148.84 Mn |
| Dec 31, 2023 | 100.47 Mn |
| Sep 30, 2023 | 145.20 Mn |
| Jun 30, 2023 | 112.65 Mn |
| Mar 31, 2023 | 94.70 Mn |
| Dec 31, 2022 | 131.43 Mn |
| Sep 30, 2022 | 172.48 Mn |
| Jun 30, 2022 | 145.35 Mn |
| Mar 31, 2022 | 96.12 Mn |
| Dec 31, 2021 | 494,000.00 |
API Access
Forum Energy Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();