American Battery Technology (ABAT) Operating Expenses (2013 - 2026)
American Battery Technology (ABAT) recorded Operating Expenses of $21.58 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 314.8% from $5.2 million a year earlier but down 38.6% from the prior quarter.
American Battery Technology (ABAT) Operating Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), American Battery Technology reported Operating Expenses of $71.62 million, up 127.7% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 13.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $31.45 million in FY2025 (-29.8%), $44.81 million in FY2024 (+99.8%), $22.43 million in FY2023 (-33.5%) and $33.74 million in FY2022 (-10.6%).
- Quarterly Operating Expenses has ranged from $2.58 million in fiscal Q1 2023 to $35.14 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 69.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 341.8% in fiscal Q3 2026, against a decline of 87.1% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $35.14 million (Q3 2026), $8.28 million (Q2 2026) and $6.62 million (Q1 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 Technology | 183.72 Mn | 16.10 Mn | 1.29 Mn | 21.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.58 Mn |
| Mar 31, 2026 | 35.14 Mn |
| Dec 31, 2025 | 8.28 Mn |
| Sep 30, 2025 | 6.62 Mn |
| Jun 30, 2025 | 5.20 Mn |
| Mar 31, 2025 | 7.96 Mn |
| Dec 31, 2024 | 10.83 Mn |
| Sep 30, 2024 | 7.46 Mn |
| Jun 30, 2024 | 19.37 Mn |
| Mar 31, 2024 | 8.61 Mn |
| Dec 31, 2023 | 8.81 Mn |
| Sep 30, 2023 | 8.02 Mn |
| Jun 30, 2023 | 8.04 Mn |
| Mar 31, 2023 | 5.63 Mn |
| Dec 31, 2022 | 6.18 Mn |
| Sep 30, 2022 | 2.58 Mn |
| Jun 30, 2022 | 6.81 Mn |
| Mar 31, 2022 | 2.83 Mn |
| Dec 31, 2021 | 4.11 Mn |
| Sep 30, 2021 | 19.99 Mn |
American Battery Technology 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=ABAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ABAT", "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=ABAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();