Star Gold (SRGZ) Operating Expenses (2010 - 2026)
Star Gold's Operating Expenses was $999,404 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 771.7% from $114,650 a year earlier and up 128.3% from the prior quarter.
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Analysis
Star Gold (SRGZ) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Star Gold's Operating Expenses was $1.66 million through Jul 31, 2026, up 620.5% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $774,959, up 281.7% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $203,028 in FY2025 (+4.4%), $194,503 in FY2024 (-51.4%), $400,552 in FY2023 (+3.0%) and $389,033 in FY2022 (-39.4%).
- The fiscal Q1 2027 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Operating Expenses was higher in six of the last seven quarters, with growth averaging 171.3%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2027 (growth of 771.7%); the worst was fiscal Q4 2024 (a decline of 83.1%).
- Per Business Quant data, SRGZ's Operating Expenses in the three fiscal quarters before Q1 2027 was $437,834 (Q4 2026), $161,370 (Q3 2026) and $61,105 (Q2 2026).
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 | Star Gold | 32.73 Mn | 28.52 Mn | - | 999,404.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 999,404.00 |
| Apr 30, 2026 | 437,834.00 |
| Jan 31, 2026 | 161,370.00 |
| Oct 31, 2025 | 61,105.00 |
| Jul 31, 2025 | 114,650.00 |
| Apr 30, 2025 | 39,517.00 |
| Jan 31, 2025 | 40,654.00 |
| Oct 31, 2024 | 35,548.00 |
| Jul 31, 2024 | 87,309.00 |
| Apr 30, 2024 | 27,432.00 |
| Jan 31, 2024 | 36,351.00 |
| Oct 31, 2023 | 50,039.00 |
| Jul 31, 2023 | 80,681.00 |
| Apr 30, 2023 | 162,776.00 |
| Jan 31, 2023 | 56,257.00 |
| Oct 31, 2022 | 44,384.00 |
| Jul 31, 2022 | 137,135.00 |
| Apr 30, 2022 | 51,201.00 |
| Jan 31, 2022 | 67,518.00 |
| Oct 31, 2021 | 105,138.00 |
API Access
Star Gold 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=SRGZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SRGZ", "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=SRGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();