E-Power (EPOW) Finished Goods (2019 - 2025)
E-Power (EPOW) reported Finished Goods of $24.11 million for the quarter ended Dec 31, 2025, up 36.5% from $17.66 million a year earlier.
Analysis
E-Power (EPOW) Finished Goods (2019 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2019, E-Power's Finished Goods record includes 11 quarters.
- Finished Goods has a five-year compound annual growth rate of 54.9% (years ended Dec 2020 to Dec 2025).
- By year, Finished Goods came in at $17.66 million in the year ended Dec 31, 2024 (+11.5%), $15.84 million in the year ended Dec 31, 2023 (-13.6%), $18.33 million in the year ended Dec 31, 2022 (+490.2%) and $3.11 million in the year ended Dec 31, 2021 (+14.7%).
- Five-year quarterly Finished Goods spans a low of $3.11 million in the quarter ended Dec 31, 2021 and a high of $30.34 million in the quarter ended Jun 30, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | E-Power | 6.13 Mn | -30.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 24.11 Mn |
| Jun 30, 2025 | 30.34 Mn |
| Dec 31, 2024 | 17.66 Mn |
| Jun 30, 2024 | 25.27 Mn |
| Dec 31, 2023 | 15.84 Mn |
| Jun 30, 2023 | 20.86 Mn |
| Dec 31, 2022 | 18.33 Mn |
| Dec 31, 2021 | 3.11 Mn |
| Jun 30, 2021 | 15.42 Mn |
| Dec 31, 2020 | 2.71 Mn |
| Dec 31, 2019 | 3.29 Mn |
API Access
E-Power Finished Goods 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=finished-goods&ticker=EPOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=EPOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();