Greenland Mines (GRML) Operating Expenses (2022 - 2026)
Greenland Mines (GRML) recorded Operating Expenses of $5.49 million in Q2 2026, up 190.1% from $1.89 million a year earlier but down 52.4% from the prior quarter.
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Analysis
Greenland Mines (GRML) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Greenland Mines' Operating Expenses came in at $20.7 million as of Jun 30, 2026, up 136.7% year-over-year; for FY2025, it was $7.15 million, up 29.0% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a four-year compound annual growth rate of 569.4% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $5.54 million in FY2024 (+777.6%), $631,322 in FY2023 (+18.2%), $533,992 in FY2022 and $3,559 in FY2021.
- Quarterly Operating Expenses has ranged from $5,010 in Q1 2022 to $11.54 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last six quarters, with growth averaging 198.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 441.9% in Q1 2026, against a decline of 43.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.54 million (Q1 2026), $1.81 million (Q4 2025) and $1.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Greenland Mines | 26.27 Mn | -7.61 Mn | - | 5.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.49 Mn |
| Mar 31, 2026 | 11.54 Mn |
| Dec 31, 2025 | 1.81 Mn |
| Sep 30, 2025 | 1.85 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 2.13 Mn |
| Dec 31, 2024 | 1.85 Mn |
| Sep 30, 2024 | 2.87 Mn |
| Jun 30, 2024 | 395,607.00 |
| Mar 31, 2024 | 672,045.00 |
| Dec 31, 2023 | 110,733.00 |
| Sep 30, 2023 | 123,737.00 |
| Jun 30, 2023 | 244,252.00 |
| Mar 31, 2023 | 293,654.00 |
| Dec 31, 2022 | 195,342.00 |
| Sep 30, 2022 | 140,426.00 |
| Jun 30, 2022 | 193,440.00 |
| Mar 31, 2022 | 5,010.00 |
API Access
Greenland Mines 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=GRML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GRML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();