GoldMining (GLDG) Selling, General & Administrative (2019 - 2026)
GoldMining's Selling, General & Administrative was $843,145 in fiscal Q3 2026 (quarter ended Aug 31, 2026), down 25.3% from $1.13 million a year earlier and down 35.3% from the prior quarter.
GoldMining (GLDG) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, GoldMining's Selling, General & Administrative was $5.59 million through Aug 31, 2026, up 2.4% year-over-year; for FY2025 (ended Nov 30, 2025), it was $5.65 million, down 7.5% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In earlier fiscal years, Selling, General & Administrative was $6.1 million in FY2024 (+10.2%), $5.54 million in FY2023 (+45.6%), $3.8 million in FY2022 (+65.4%) and $2.3 million in FY2021 (-1.5%).
- The fiscal Q3 2026 figure marks the lowest quarterly Selling, General & Administrative since fiscal Q3 2022.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2023 (growth of 127.2%); the worst was fiscal Q3 2024 (a decline of 37.4%).
- Per Business Quant data, GLDG's Selling, General & Administrative in the three fiscal quarters before Q3 2026 was $1.3 million (Q2 2026), $1.59 million (Q1 2026) and $1.85 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.84 Bn | 131.63 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 135.22 Bn | 95.72 Bn | - | - |
| 4 | Newmont | 117.71 Bn | 82.85 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 93.25 Bn | 77.29 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.14 Bn | 77.78 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 65.28 Bn | 40.47 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 59.66 Bn | 49.05 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.30 Bn | 24.32 Bn | - | - |
| 10 | GoldMining | 148.89 Mn | -1.28 Mn | - | 843,144.65 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 843,144.65 |
| May 31, 2026 | 1.30 Mn |
| Feb 28, 2026 | 1.59 Mn |
| Nov 30, 2025 | 1.85 Mn |
| Aug 31, 2025 | 1.13 Mn |
| May 31, 2025 | 1.25 Mn |
| Feb 28, 2025 | 1.41 Mn |
| Nov 30, 2024 | 1.67 Mn |
| Aug 31, 2024 | 1.03 Mn |
| May 31, 2024 | 1.96 Mn |
| Feb 29, 2024 | 1.44 Mn |
| Nov 30, 2023 | 1.13 Mn |
| Aug 31, 2023 | 1.65 Mn |
| May 31, 2023 | 1.52 Mn |
| Feb 28, 2023 | 1.24 Mn |
| Nov 30, 2022 | 1.15 Mn |
| Aug 31, 2022 | 727,597.41 |
| May 31, 2022 | 836,419.53 |
| Feb 28, 2022 | 1.08 Mn |
| Nov 30, 2021 | 607,770.71 |
GoldMining 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=GLDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "GLDG", "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=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();