Chilean Cobalt (COBA) Return on Capital Employed [ROCE] (2023 - 2026)
Chilean Cobalt's Return on Capital Employed [ROCE] came in at -43.33% for Q2 2026, up 95.64 percentage points from -138.97% a year earlier and up 11.09 percentage points from the prior quarter.
Chilean Cobalt (COBA) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, Chilean Cobalt's Return on Capital Employed [ROCE] was -87.32%, up 55.06 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a three-year change of +117.51 percentage points (FY2022 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -142.38% in FY2024 (+33.26 pp), -175.65% in FY2023 (+29.18 pp) and -204.82% in FY2022.
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2023.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +23.80 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2025 (a gain of 158.09 percentage points), and the weakest in Q3 2024 (a drop of 151.12 percentage points).
- Business Quant data shows COBA's Return on Capital Employed [ROCE] at -54.42% (Q1 2026), -91.13% (Q4 2025) and -262.15% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 42.99% |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 9.92% |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 7.19% |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 42.05% |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 23.46% |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 3.51% |
| 10 | Chilean Cobalt | 133.34 Mn | 125.48 Mn | - | -43.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -43.33% |
| Mar 31, 2026 | -54.42% |
| Dec 31, 2025 | -91.13% |
| Sep 30, 2025 | -262.15% |
| Jun 30, 2025 | -138.97% |
| Mar 31, 2025 | -157.49% |
| Dec 31, 2024 | -249.22% |
| Sep 30, 2024 | -260.37% |
| Jun 30, 2024 | -216.02% |
| Mar 31, 2024 | -178.10% |
| Dec 31, 2023 | -138.06% |
| Sep 30, 2023 | -109.26% |
| Jun 30, 2023 | -132.91% |
| Mar 31, 2023 | -260.84% |
Chilean Cobalt Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=COBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=COBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();