Chilean Cobalt (COBA) Accumulated Expenses (2023 - 2026)
Chilean Cobalt (COBA) recorded Accumulated Expenses of $53,425 in Q2 2026, up 312.0% from $12,967 a year earlier and up 664.1% from the prior quarter.
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Analysis
Chilean Cobalt (COBA) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Chilean Cobalt reported Accumulated Expenses of $15,044, down 8.5% from FY2024.
- Across earlier years, Accumulated Expenses came in at $16,441 in FY2024 (+51.0%) and $10,886 in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses rose in three of the last seven quarters, with growth averaging 45.6%.
- Per Business Quant, the preceding three quarters came in at $6,992 (Q1 2026), $15,044 (Q4 2025) and $12,203 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - |
| 10 | Chilean Cobalt | 133.34 Mn | 125.48 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53,425.00 |
| Mar 31, 2026 | 6,992.00 |
| Dec 31, 2025 | 15,044.00 |
| Sep 30, 2025 | 12,203.00 |
| Jun 30, 2025 | 12,967.00 |
| Mar 31, 2025 | 49,109.00 |
| Dec 31, 2024 | 16,441.00 |
| Sep 30, 2024 | 17,576.00 |
| Jun 30, 2024 | 17,619.00 |
| Mar 31, 2024 | 23,715.00 |
| Dec 31, 2023 | 10,886.00 |
API Access
Chilean Cobalt Accumulated 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=accumulated-expenses&ticker=COBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "COBA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=COBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();