Goldgroup Mining (GORO) Selling, General & Administrative (2010 - 2026)
Goldgroup Mining's Selling, General & Administrative came in at $1.59 million for Q1 2026, up 39.3% from $1.14 million a year earlier and up 26.0% from the prior quarter.
Goldgroup Mining (GORO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Goldgroup Mining reported Selling, General & Administrative of $4.71 million, up 5.3% year-over-year; for FY2025, it was $4.26 million, down 0.6% from FY2024.
- Selling, General & Administrative has declined in each of the last three years, with a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $4.28 million in FY2024 (-34.9%), $6.58 million in FY2023 (-18.2%), $8.05 million in FY2022 (+16.6%) and $6.9 million in FY2021 (-17.9%).
- The Q1 2026 figure represents the highest quarterly Selling, General & Administrative since Q3 2023.
- Year-over-year, Selling, General & Administrative increased in two of the last eight quarters, with an average decline of 8.4%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2022 (growth of 192.8%), and the weakest in Q4 2021 (a decline of 66.0%).
- Business Quant data shows GORO's Selling, General & Administrative at $1.27 million (Q4 2025), $1.21 million (Q3 2025) and $644,000 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Goldgroup Mining | 519.65 Mn | 441.15 Mn | 19.05 Mn | 1.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.59 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 644,000.00 |
| Mar 31, 2025 | 1.14 Mn |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 1.29 Mn |
| Jun 30, 2024 | 727,000.00 |
| Mar 31, 2024 | 955,000.00 |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 1.76 Mn |
| Jun 30, 2023 | 2.13 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 30, 2022 | 1.80 Mn |
| Jun 30, 2022 | 1.92 Mn |
| Mar 31, 2022 | 1.90 Mn |
| Dec 31, 2021 | 830,000.00 |
| Sep 30, 2021 | 2.36 Mn |
| Jun 30, 2021 | 2.13 Mn |
Goldgroup Mining 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=GORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "GORO", "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=GORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();