American Battery Materials (BLTH) Operating Expenses (2010 - 2026)
American Battery Materials' Operating Expenses came in at $717,939 for Q2 2026, down 25.0% from $957,597 a year earlier but up 89.0% from the prior quarter.
American Battery Materials (BLTH) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American Battery Materials reported Operating Expenses of $1.75 million, down 15.9% year-over-year; for FY2025, it came in at $1.86 million, up 18.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 49.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.57 million in FY2024 (-36.1%), $2.45 million in FY2023 (+116.2%), $1.14 million in FY2022 (+188.6%) and $393,376 in FY2021 (+60.0%).
- The five-year range for quarterly Operating Expenses is $83,252 (Q3 2021) to $1.09 million (Q2 2023).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 12.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 298.5%), and the weakest in Q2 2024 (a decline of 59.3%).
- Business Quant data shows BLTH's Operating Expenses at $379,962 (Q1 2026), $354,062 (Q4 2025) and $293,140 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.53 Bn | 146.32 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 145.19 Bn | 105.69 Bn | - | - |
| 4 | Newmont | 125.76 Bn | 93.76 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 100.06 Bn | 84.10 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 94.12 Bn | 83.75 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.59 Bn | 48.98 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 47.82 Bn | 26.84 Bn | - | -780.00 Mn |
| 10 | American Battery Materials | 9.47 Mn | 9.42 Mn | - | 717,939.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 717,939.00 |
| Mar 31, 2026 | 379,962.00 |
| Dec 31, 2025 | 354,062.00 |
| Sep 30, 2025 | 293,140.00 |
| Jun 30, 2025 | 957,597.00 |
| Mar 31, 2025 | 258,457.00 |
| Dec 31, 2024 | 352,862.00 |
| Sep 30, 2024 | 506,019.00 |
| Jun 30, 2024 | 445,791.00 |
| Mar 31, 2024 | 264,035.00 |
| Dec 31, 2023 | 288,206.00 |
| Sep 30, 2023 | 624,952.00 |
| Jun 30, 2023 | 1.09 Mn |
| Mar 31, 2023 | 446,476.00 |
| Dec 31, 2022 | 313,093.00 |
| Sep 30, 2022 | 331,735.00 |
| Jun 30, 2022 | 364,188.00 |
| Mar 31, 2022 | 126,072.00 |
| Dec 31, 2021 | 136,477.00 |
| Sep 30, 2021 | 83,252.00 |
American 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=BLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();