Enerflex (EFXT) Accumulated Expenses (2021 - 2024)
Enerflex's Accumulated Expenses was $397 million in Q3 2026, compared with $58.00 a year earlier and down 3.2% from the prior quarter.
Powered by 
Analysis
Enerflex (EFXT) Accumulated Expenses (2021 - 2024) Analysis & Trends
At the end of FY2024, Accumulated Expenses at Enerflex came in at $413 million, down 2.6% from FY2023.
- Accumulated Expenses shows a three-year compound annual growth rate of 29.8% (FY2021 to FY2024).
- In earlier years, Accumulated Expenses was $424 million in FY2023 (-8.5%), $463.46 million in FY2022 (+145.3%) and $188.9 million in FY2021.
- Quarterly Accumulated Expenses has moved between $17.73 (Q1 2024) and $601.63 million (Q3 2023) over five years.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 165.0%); the worst was Q1 2024 (a decline of 100.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn |
| 10 | Enerflex | 2.45 Bn | 2.11 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 413.00 Mn |
| Sep 30, 2024 | 40.71 |
| Jun 30, 2024 | 14.60 |
| Mar 31, 2024 | 24.00 |
| Dec 31, 2023 | 424.14 Mn |
| Sep 30, 2023 | 445.95 Mn |
| Jun 30, 2023 | 447.17 Mn |
| Mar 31, 2023 | 434.77 Mn |
| Jan 1, 2023 | 464.00 Mn |
| Dec 31, 2022 | 463.46 Mn |
| Sep 30, 2022 | 231.01 Mn |
| Dec 31, 2021 | 188.90 Mn |
API Access
Enerflex Accumulated 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=accumulated-expenses&ticker=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();