Enerflex (EFXT) Selling, General & Administrative (2021 - 2026)
Enerflex (EFXT) recorded Selling, General & Administrative of $81 million in the quarter ended Jun 30, 2026, up 84.0% from $44.02 million a year earlier.
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Analysis
Enerflex (EFXT) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a TTM basis, Enerflex's Selling, General & Administrative came in at $259.62 million as of Jun 30, 2026, up 23.8% year-over-year; for the year ended Dec 31, 2025, it came in at $272 million, up 13.9% from the prior year.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 23.2% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Selling, General & Administrative came in at $238.84 million in the year ended Dec 31, 2024 (+10.0%), $217.16 million in the year ended Dec 31, 2023 (-6.3%), $231.71 million in the year ended Dec 31, 2022 (+96.3%) and $118.04 million in the year ended Dec 31, 2021.
- Quarterly Selling, General & Administrative has ranged from $34 million in the quarter ended Jun 30, 2022 to $157 million in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last seven quarters, with growth averaging 2.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 343.4% in the quarter ended Dec 31, 2022, against a decline of 35.4% in the quarter ended Dec 31, 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 27.20 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 | 102.00 Mn |
| Sep 30, 2023 | 55.94 Mn |
| Jun 30, 2023 | 49.13 Mn |
| Mar 31, 2023 | 57.70 Mn |
| Dec 31, 2022 | 157.00 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();