Enerflex (EFXT) Long-Term Debt Repayments (2023 - 2024)
Enerflex's Long-Term Debt Repayments was -$7 million in the quarter ended Dec 31, 2025, compared with -$3.58 million a year earlier.
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Analysis
Enerflex (EFXT) Long-Term Debt Repayments (2023 - 2024) Analysis & Trends
On a trailing twelve-month basis, Enerflex's Long-Term Debt Repayments was -$18.37 million through Dec 31, 2025; for the year ended Dec 31, 2024, it came in at -$130 million.
- In earlier years, Long-Term Debt Repayments was -$14.82 million in the year ended Dec 31, 2023, -$16 million in the year ended Dec 31, 2022 and -$31.92 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Long-Term Debt Repayments since the quarter ended Jun 30, 2024.
Peer Set
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 | Enerflex | 3.04 Bn | 2.72 Bn | 139.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -87.74 Mn |
| Mar 31, 2024 | -7.42 Mn |
| Dec 31, 2023 | -13.00 Mn |
| Sep 30, 2023 | -13.52 Mn |
API Access
Enerflex 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=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "EFXT", "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=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();