Electra Battery Materials (ELBM) Accumulated Expenses (2022 - 2025)
Electra Battery Materials (ELBM) recorded Accumulated Expenses of $7.87 million in Q3 2025, up 9.6% from $7.18 million a year earlier and up 26.2% from the prior quarter.
Electra Battery Materials (ELBM) Accumulated Expenses (2022 - 2025) Analysis & Trends
At the end of FY2024, Electra Battery Materials reported Accumulated Expenses of $1.95 million, down 55.0% from FY2023.
- Across earlier years, Accumulated Expenses came in at $4.33 million in FY2023 (+351.5%) and $959,268 in FY2022.
- The Q3 2025 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2022.
- On a year-over-year basis, Accumulated Expenses rose in four of the last six quarters, with growth averaging 74.6%.
- Per Business Quant, the preceding three quarters came in at $6.23 million (Q2 2025), $4.37 million (Q1 2025) and $1.95 million (Q4 2024).
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 | Electra Battery Materials | 44.61 Mn | -54.56 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.87 Mn |
| Jun 30, 2025 | 6.23 Mn |
| Mar 31, 2025 | 4.37 Mn |
| Dec 31, 2024 | 1.95 Mn |
| Sep 30, 2024 | 7.18 Mn |
| Jun 30, 2024 | 5.80 Mn |
| Mar 31, 2024 | 4.70 Mn |
| Dec 31, 2023 | 4.33 Mn |
| Sep 30, 2023 | 2.98 Mn |
| Dec 31, 2022 | 959,267.93 |
Electra Battery Materials 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=ELBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ELBM", "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=ELBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();