Greenland Mines (GRML) Selling, General & Administrative (2022 - 2026)
Greenland Mines' Selling, General & Administrative came in at $577,942 for Q2 2026, down 20.8% from $729,572 a year earlier and down 90.7% from the prior quarter.
Greenland Mines (GRML) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Greenland Mines reported Selling, General & Administrative of $7.61 million, up 348.0% year-over-year; for FY2025, it came in at $1.51 million.
- Selling, General & Administrative carries a four-year compound annual growth rate of 353.9% (FY2021 to FY2025).
- Going back by year, Selling, General & Administrative was $129,418 in FY2024 (+323.7%), $30,546 in FY2023 (-94.3%), $533,992 in FY2022 and $3,559 in FY2021.
- The five-year range for quarterly Selling, General & Administrative is $2,341 (Q2 2024) to $6.21 million (Q1 2026).
- Year-over-year, Selling, General & Administrative increased in four of the last five quarters, with growth averaging 502.9%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2025 (growth of 787.2%), and the weakest in Q4 2023 (a decline of 97.9%).
- Business Quant data shows GRML's Selling, General & Administrative at $6.21 million (Q1 2026), $585,445 (Q4 2025) and $231,404 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 6.43 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.63 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.90 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -3.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -5.65 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.75 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.92 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 3.41 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 582.20 Mn |
| 10 | Greenland Mines | 26.87 Mn | -7.00 Mn | - | 577,942.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 577,942.00 |
| Mar 31, 2026 | 6.21 Mn |
| Dec 31, 2025 | 585,445.00 |
| Sep 30, 2025 | 231,404.00 |
| Jun 30, 2025 | 729,572.00 |
| Mar 31, 2025 | 850,282.00 |
| Dec 31, 2024 | 65,990.00 |
| Sep 30, 2024 | 52,152.00 |
| Jun 30, 2024 | 2,341.00 |
| Mar 31, 2024 | 9,198.00 |
| Dec 31, 2023 | 4,032.00 |
| Sep 30, 2023 | 5,967.00 |
| Jun 30, 2023 | 15,217.00 |
| 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 |
Greenland Mines 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=GRML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GRML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();