Goldgroup Mining (GORO) Operating Expenses (2010 - 2026)
Goldgroup Mining (GORO) posted Operating Expenses of $9.59 million for Q1 2026, up 51.3% from $6.34 million a year earlier and up 48.1% from the prior quarter.
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Analysis
Goldgroup Mining (GORO) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Goldgroup Mining was $33.08 million, up 19.5% year-over-year; for FY2025, it came in at $29.83 million, up 11.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In prior years, Goldgroup Mining's Operating Expenses was $26.75 million in FY2024 (+7.9%), $24.8 million in FY2023 (-9.8%), $27.51 million in FY2022 (+44.0%) and $19.1 million in FY2021 (+44.2%).
- Quarterly Operating Expenses has run from a low of $1.57 million in Q2 2022 to a high of $9.95 million in Q1 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 23.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2021, with growth of 811.4%; the weakest was Q2 2022, with a decline of 59.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $6.48 million (Q4 2025), $9.94 million (Q3 2025) and $7.08 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Goldgroup Mining | 542.32 Mn | 463.81 Mn | 19.05 Mn | 9.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.59 Mn |
| Dec 31, 2025 | 6.48 Mn |
| Sep 30, 2025 | 9.94 Mn |
| Jun 30, 2025 | 7.08 Mn |
| Mar 31, 2025 | 6.34 Mn |
| Dec 31, 2024 | 6.51 Mn |
| Sep 30, 2024 | 7.62 Mn |
| Jun 30, 2024 | 7.23 Mn |
| Mar 31, 2024 | 5.40 Mn |
| Dec 31, 2023 | 3.75 Mn |
| Sep 30, 2023 | 7.45 Mn |
| Jun 30, 2023 | 6.45 Mn |
| Mar 31, 2023 | 7.15 Mn |
| Dec 31, 2022 | 8.22 Mn |
| Sep 30, 2022 | 7.77 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 9.95 Mn |
| Dec 31, 2021 | 7.44 Mn |
| Sep 30, 2021 | 4.36 Mn |
| Jun 30, 2021 | 3.85 Mn |
API Access
Goldgroup Mining 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=GORO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();