Critical Metals (CRML) Operating Expenses (2024 - 2026)
Critical Metals' Operating Expenses was -$4 million in the year ended Jun 30, 2026.
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Analysis
Critical Metals (CRML) Operating Expenses (2024 - 2026) Analysis & Trends
From the year ended Jun 30, 2022 onward, Critical Metals has reported Operating Expenses for 5 years.
- The figure for the year ended Jun 30, 2026 marks the highest annual Operating Expenses since the year ended Jun 30, 2022.
- Per Business Quant data, Operating Expenses in earlier years was -$4.47 million in the year ended Dec 31, 2025, -$11.36 million in the year ended Dec 31, 2024, -$5.17 million in the year ended Jun 30, 2023 and -$24,504 in the year ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.88 Bn | 142.66 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.59 Bn | 102.09 Bn | - | - |
| 4 | Newmont | 124.61 Bn | 92.61 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 98.97 Bn | 83.01 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 94.25 Bn | 83.88 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.80 Bn | 45.00 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.53 Bn | 49.91 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.47 Bn | 27.50 Bn | - | -780.00 Mn |
| 10 | Critical Metals | 805.38 Mn | 614.54 Mn | - | -2.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.54 Mn |
| Jun 30, 2025 | -3.00 Mn |
| Jun 30, 2024 | -9.37 Mn |
API Access
Critical Metals 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=CRML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRML", "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=CRML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();