GoldMining (GLDG) Operating Expenses (2019 - 2026)
Analysis
GoldMining (GLDG) Operating Expenses (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 162.50 Bn | 141.29 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.39 Bn | 101.89 Bn | - | - |
| 4 | Newmont | 124.29 Bn | 92.29 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 98.73 Bn | 82.77 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.67 Bn | 83.30 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.41 Bn | 44.61 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.50 Bn | 49.89 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.50 Bn | 27.52 Bn | - | -780.00 Mn |
| 10 | GoldMining | 159.17 Mn | 8.99 Mn | - | 9.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 9.05 Mn |
| May 31, 2026 | 5.74 Mn |
| Feb 28, 2026 | 5.30 Mn |
| Nov 30, 2025 | 4.28 Mn |
| Aug 31, 2025 | 5.54 Mn |
| May 31, 2025 | 3.07 Mn |
| Feb 28, 2025 | 3.91 Mn |
| Nov 30, 2024 | 6.72 Mn |
| Aug 31, 2024 | 5.93 Mn |
| May 31, 2024 | 4.28 Mn |
| Feb 29, 2024 | 1.77 Mn |
| Nov 30, 2023 | 7.91 Mn |
| Aug 31, 2023 | 3.56 Mn |
| May 31, 2023 | 4.42 Mn |
| Feb 28, 2023 | 2.77 Mn |
| Nov 30, 2022 | 1.86 Mn |
| Aug 31, 2022 | 1.66 Mn |
| May 31, 2022 | 1.45 Mn |
| Feb 28, 2022 | 1.39 Mn |
| Nov 30, 2021 | 1.43 Mn |
API Access
GoldMining 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=GLDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();