E-Power (EPOW) Accumulated Expenses (2019 - 2022)
E-Power's Accumulated Expenses was $2.48 million in the quarter ended Dec 31, 2025, up 0.2% from $2.48 million a year earlier.
Powered by 
Analysis
E-Power (EPOW) Accumulated Expenses (2019 - 2022) Analysis & Trends
From the quarter ended Dec 31, 2019 onward, E-Power has reported Accumulated Expenses for 11 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $2.48 million in the year ended Dec 31, 2024 (unchanged), $2.48 million in the year ended Dec 31, 2023 (unchanged), $2.48 million in the year ended Dec 31, 2022 (+0.2%) and $2.47 million in the year ended Dec 31, 2021 (unchanged).
- The figure for the quarter ended Dec 31, 2025 marks the highest quarterly Accumulated Expenses since the quarter ended Jun 30, 2022.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last four quarters, with growth averaging 0.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Dec 31, 2022 (growth of 0.2%); the worst was the quarter ended Jun 30, 2023 (a decline of 1.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | E-Power | 5.34 Mn | -24.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 611,214.00 |
| Dec 31, 2021 | 378,698.00 |
| Dec 31, 2020 | 529,184.00 |
| Dec 31, 2019 | 1.36 Mn |
API Access
E-Power 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=EPOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EPOW", "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=EPOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();