Forum Energy Technologies (FET) Long-Term Debt Repayments (2011 - 2026)
Forum Energy Technologies' Long-Term Debt Repayments was $137.28 million in Q2 2026, down 8.9% from $150.78 million a year earlier but up 14.2% from the prior quarter.
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 $573.52 million through Jun 30, 2026, down 6.0% year-over-year; for FY2025, it came in at $615.43 million, down 1.4% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $624.25 million in FY2024 (+38.2%), $451.74 million in FY2023 (-17.0%), $544.13 million in FY2022 and $13.13 million in FY2021 (-92.2%).
- Quarterly Long-Term Debt Repayments has moved between $94.43 million (Q1 2023) and $172.31 million (Q3 2022) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last eight quarters, with growth averaging 4.0%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2022 (growth of 630.5%); the worst was Q4 2023 (a decline of 23.5%).
- Per Business Quant data, FET's Long-Term Debt Repayments in the three quarters before Q2 2026 was $120.16 million (Q1 2026), $169.08 million (Q4 2025) and $146.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | -3.00 Mn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | - |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | - |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 814.12 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 17.00 Mn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 30.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 9.00 Mn |
| 10 | Forum Energy Technologies | 978.05 Mn | 840.49 Mn | 71.35 Mn | 137.69 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 2.11 Mn |
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_KEY
import 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();