Electra Battery Materials (ELBM) Total Liabilities (2021 - 2026)
Electra Battery Materials (ELBM) posted Total Liabilities of $71.54 million for Q2 2026, up 4.9% from $68.2 million a year earlier but down 10.5% from the prior quarter.
Electra Battery Materials (ELBM) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Electra Battery Materials' Total Liabilities came in at $99.71 million, up 56.7% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 62.3% (FY2020 to FY2025).
- In prior years, Electra Battery Materials' Total Liabilities was $63.64 million in FY2024 (+31.3%), $48.47 million in FY2023 (+3.3%), $46.93 million in FY2022 (-13.1%) and $53.98 million in FY2021 (+510.3%).
- Quarterly Total Liabilities has run from a low of $44.95 million in Q4 2022 to a high of $99.9 million in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 22.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 60.2%; the weakest was Q1 2024, with a decline of 17.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $79.93 million (Q1 2026), $99.9 million (Q4 2025) and $72.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 164.24 Bn | 143.03 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.58 Bn | 102.09 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.17 Bn | 92.18 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.56 Bn | 82.60 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.87 Bn | 83.50 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.81 Bn | 49.19 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.19 Bn | 27.21 Bn | - | 44.33 Bn |
| 10 | Electra Battery Materials | 13.33 Mn | -71.44 Mn | - | 69.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.64 Mn |
| Mar 31, 2026 | 78.70 Mn |
| Dec 31, 2025 | 101.73 Mn |
| Sep 30, 2025 | 71.89 Mn |
| Jun 30, 2025 | 69.07 Mn |
| Mar 31, 2025 | 68.23 Mn |
| Dec 31, 2024 | 60.72 Mn |
| Sep 30, 2024 | 58.65 Mn |
| Jun 30, 2024 | 57.05 Mn |
| Mar 31, 2024 | 55.31 Mn |
| Dec 31, 2023 | 49.43 Mn |
| Sep 30, 2023 | 58.68 Mn |
| Jun 30, 2023 | 60.26 Mn |
| Mar 31, 2023 | 67.11 Mn |
| Dec 31, 2022 | 45.02 Mn |
| Sep 30, 2022 | 42.99 Mn |
| Jun 30, 2022 | 37.96 Mn |
| Mar 31, 2022 | 69.80 Mn |
| Dec 31, 2021 | 53.08 Mn |
Electra Battery Materials Total Liabilities 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=total-liabilities&ticker=ELBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ELBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();