Enerflex (EFXT) Asset Writedowns and Impairment (2022 - 2025)
Enerflex (EFXT) posted Asset Writedowns and Impairment of $3 million for the year ended Dec 31, 2025, up 200.0% from $1 million a year earlier.
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Analysis
Enerflex (EFXT) Asset Writedowns and Impairment (2022 - 2025) Analysis & Trends
Since the year ended Dec 31, 2021, Enerflex has reported Asset Writedowns and Impairment for 5 years.
- Annual Asset Writedowns and Impairment shows a four-year compound annual growth rate of 62.7% (years ended Dec 2021 to Dec 2025).
- Annual Asset Writedowns and Impairment has run from a low of $428,502 in the year ended Dec 31, 2021 to a high of $65 million in the year ended Dec 31, 2023 over five years.
- Business Quant data shows EFXT's Asset Writedowns and Impairment at $1 million in the year ended Dec 31, 2024 (-98.5%), $65 million in the year ended Dec 31, 2023 (+76.1%), $36.92 million in the year ended Dec 31, 2022 and $428,502 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.22 Bn | 69.33 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.21 Bn | 18.49 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn |
| 4 | Halliburton | 26.59 Bn | 18.34 Bn | 804.00 Mn |
| 5 | Nov | 6.76 Bn | 1.55 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.63 Bn | 1.57 Bn | 333.00 Mn |
| 9 | Valaris | 5.51 Bn | 3.13 Bn | 123.70 Mn |
| 10 | Enerflex | 3.10 Bn | 2.87 Bn | 139.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.45 Mn |
| Dec 31, 2023 | 63.29 Mn |
| Sep 30, 2022 | 48.00 Mn |
API Access
Enerflex Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();