American Battery Materials (BLTH) Total Liabilities (2010 - 2026)
American Battery Materials' Total Liabilities was $12.7 million in Q2 2026, up 48.7% from $8.54 million a year earlier and up 4.0% from the prior quarter.
American Battery Materials (BLTH) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at American Battery Materials came in at $10.69 million, up 50.0% from FY2024.
- Total Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $7.13 million in FY2024 (+111.3%), $3.37 million in FY2023 (+124.0%), $1.51 million in FY2022 (-83.5%) and $9.15 million in FY2021 (-22.9%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 69.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2023 (growth of 124.0%); the worst was Q4 2022 (a decline of 83.5%).
- Per Business Quant data, BLTH's Total Liabilities in the three quarters before Q2 2026 was $12.21 million (Q1 2026), $10.69 million (Q4 2025) and $9.51 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 | 167.30 Bn | 146.09 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 44.33 Bn |
| 10 | American Battery Materials | 9.47 Mn | 9.42 Mn | - | 12.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.70 Mn |
| Mar 31, 2026 | 12.21 Mn |
| Dec 31, 2025 | 10.69 Mn |
| Sep 30, 2025 | 9.51 Mn |
| Jun 30, 2025 | 8.54 Mn |
| Mar 31, 2025 | 7.48 Mn |
| Dec 31, 2024 | 7.13 Mn |
| Sep 30, 2024 | 5.35 Mn |
| Jun 30, 2024 | 4.75 Mn |
| Mar 31, 2024 | 4.21 Mn |
| Dec 31, 2023 | 3.37 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 3.05 Mn |
| Dec 31, 2022 | 1.51 Mn |
| Sep 30, 2022 | 10.18 Mn |
| Jun 30, 2022 | 9.74 Mn |
| Mar 31, 2022 | 9.17 Mn |
| Dec 31, 2021 | 9.15 Mn |
| Sep 30, 2021 | 10.99 Mn |
American 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=BLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BLTH", "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=BLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();