Electra Battery Materials (ELBM) Operating Expenses (2021 - 2026)
Electra Battery Materials' Operating Expenses was $637,620 in Q2 2026, up 14.6% from $556,440 a year earlier and up 0.9% from the prior quarter.
Electra Battery Materials (ELBM) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Electra Battery Materials' Operating Expenses was $8.32 million through Jun 30, 2026, up 18.3% year-over-year; for FY2025, it came in at $12.18 million, up 19.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 42.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $10.22 million in FY2024 (-1.4%), $10.36 million in FY2023 (-19.6%), $12.89 million in FY2022 (-15.8%) and $15.31 million in FY2021 (+644.0%).
- Quarterly Operating Expenses has moved between $364,738 (Q1 2022) and $10.03 million (Q4 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 72.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2024 (growth of 335.9%); the worst was Q1 2022 (a decline of 79.5%).
- Per Business Quant data, ELBM's Operating Expenses in the three quarters before Q2 2026 was $632,221 (Q1 2026), $4.1 million (Q4 2025) and $2.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | -780.00 Mn |
| 10 | Electra Battery Materials | 12.74 Mn | -72.02 Mn | - | 2.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.91 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 524,907.16 |
| Sep 30, 2025 | 536,983.27 |
| Jun 30, 2025 | 2.51 Mn |
| Mar 31, 2025 | 2.62 Mn |
| Dec 31, 2024 | 2.67 Mn |
| Sep 30, 2024 | 2.57 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 2.48 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 3.11 Mn |
| Jun 30, 2023 | 3.36 Mn |
| Mar 31, 2023 | 2.82 Mn |
| Dec 31, 2022 | 4.09 Mn |
| Sep 30, 2022 | 3.69 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 5.23 Mn |
| Sep 30, 2021 | 5.20 Mn |
Electra Battery Materials Operating 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=operating-expenses&ticker=ELBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ELBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();