Enerflex (EFXT) Operating Expenses (2021 - 2026)
Enerflex (EFXT) reported Operating Expenses of $81 million for the quarter ended Jun 30, 2026, up 84.0% from $44.02 million a year earlier.
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Analysis
Enerflex (EFXT) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enerflex's Operating Expenses came in at $259.62 million, up 23.8% year-over-year; for the year ended Dec 31, 2025, it was $272 million, up 13.9% from the prior year.
- Operating Expenses has a four-year compound annual growth rate of 23.2% (years ended Dec 2021 to Dec 2025).
- By year, Operating Expenses came in at $238.84 million in the year ended Dec 31, 2024 (-4.4%), $249.77 million in the year ended Dec 31, 2023 (+7.8%), $231.71 million in the year ended Dec 31, 2022 (+96.3%) and $118.04 million in the year ended Dec 31, 2021.
- Five-year quarterly Operating Expenses spans a low of $34 million in the quarter ended Jun 30, 2022 and a high of $214 million in the quarter ended Dec 31, 2022.
- Year over year, Operating Expenses gained in three of the last seven quarters, with growth averaging 0.6%.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Dec 31, 2022 (growth of 504.4%); the low point was the quarter ended Dec 31, 2024 (a decline of 48.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Enerflex | 2.77 Bn | 2.54 Bn | 139.00 Mn | 81.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.00 Mn |
| Dec 31, 2025 | 83.00 Mn |
| Sep 30, 2025 | 51.59 Mn |
| Jun 30, 2025 | 44.02 Mn |
| Mar 31, 2025 | 39.72 Mn |
| Dec 31, 2024 | 65.86 Mn |
| Sep 30, 2024 | 60.11 Mn |
| Jun 30, 2024 | 54.84 Mn |
| Mar 31, 2024 | 57.88 Mn |
| Dec 31, 2023 | 127.00 Mn |
| Sep 30, 2023 | 55.94 Mn |
| Jun 30, 2023 | 49.13 Mn |
| Mar 31, 2023 | 57.70 Mn |
| Dec 31, 2022 | 214.00 Mn |
| Sep 30, 2022 | 42.25 Mn |
| Jun 30, 2022 | 34.00 Mn |
| Mar 31, 2022 | 46.80 Mn |
| Dec 31, 2021 | 35.41 Mn |
| Sep 30, 2021 | 40.71 Mn |
API Access
Enerflex Operating Expenses 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=operating-expenses&ticker=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();