Chilean Cobalt (COBA) Selling, General & Administrative (2022 - 2026)
Chilean Cobalt (COBA) reported Selling, General & Administrative of $398,842 for Q2 2026, up 34.9% from $295,741 a year earlier and up 12.0% from the prior quarter.
Chilean Cobalt (COBA) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Chilean Cobalt's Selling, General & Administrative came in at $1.44 million, up 37.0% year-over-year; for FY2025, it was $1.32 million, up 46.5% from FY2024.
- Selling, General & Administrative has a four-year compound annual growth rate of 94.3% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $900,147 in FY2024 (-27.7%), $1.24 million in FY2023 (+22.1%), $1.02 million in FY2022 and $92,485 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last six quarters, with growth averaging 21.1% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2023 (growth of 130.4%); the low point was Q3 2024 (a decline of 41.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $355,975 (Q1 2026), $303,698 (Q4 2025) and $379,841 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Chilean Cobalt | 133.34 Mn | 125.48 Mn | - | 398,842.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 398,842.00 |
| Mar 31, 2026 | 355,975.00 |
| Dec 31, 2025 | 303,698.00 |
| Sep 30, 2025 | 379,841.00 |
| Jun 30, 2025 | 295,741.00 |
| Mar 31, 2025 | 339,657.00 |
| Dec 31, 2024 | 218,929.00 |
| Sep 30, 2024 | 195,454.00 |
| Jun 30, 2024 | 214,425.00 |
| Mar 31, 2024 | 271,339.00 |
| Dec 31, 2023 | 293,704.00 |
| Sep 30, 2023 | 336,591.00 |
| Jun 30, 2023 | 282,090.00 |
| Mar 31, 2023 | 332,532.00 |
| Dec 31, 2022 | 277,223.00 |
| Sep 30, 2022 | 326,316.00 |
| Jun 30, 2022 | 271,558.00 |
| Mar 31, 2022 | 144,330.00 |
Chilean Cobalt Selling, General & Administrative 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=selling-general-and-administrative&ticker=COBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=COBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();