Greenland Mines (GRML) Return on Capital Employed [ROCE] (2022 - 2026)
Greenland Mines (GRML) posted Return on Capital Employed [ROCE] of -30.52% for Q2 2026, up 89.16 percentage points from -119.68% a year earlier and up 13.66 percentage points from the prior quarter.
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Analysis
Greenland Mines (GRML) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Greenland Mines' Return on Capital Employed [ROCE] came in at -120.13%, up 394.04 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a three-year change of -119.01 percentage points (FY2022 to FY2025).
- In prior years, Greenland Mines' Return on Capital Employed [ROCE] was -514.17% in FY2024 (-513.10 pp), -1.08% in FY2023 (+0.04 pp) and -1.12% in FY2022.
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q2 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last four quarters, with an average year-over-year change of -23.32 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2026, with a gain of 1698.64 percentage points; the weakest was Q1 2025, with a drop of 1728.97 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -44.18% (Q1 2026), -73.25% (Q4 2025) and -69.31% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 43.74% |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 5.33% |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 11.32% |
| 10 | Greenland Mines | 9.72 Mn | -24.15 Mn | - | -30.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.52% |
| Mar 31, 2026 | -44.18% |
| Dec 31, 2025 | -73.25% |
| Sep 30, 2025 | -69.31% |
| Jun 30, 2025 | -119.68% |
| Mar 31, 2025 | -1,742.82% |
| Dec 31, 2024 | -477.25% |
| Sep 30, 2024 | -212.63% |
| Jun 30, 2024 | -12.34% |
| Mar 31, 2024 | -13.85% |
| Dec 31, 2023 | -2.82% |
| Sep 30, 2023 | -1.67% |
| Jun 30, 2023 | -1.14% |
| Mar 31, 2023 | -1.80% |
| Dec 31, 2022 | -0.56% |
API Access
Greenland Mines 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=GRML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GRML", "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=GRML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();