Silver Bull Resources (SVBL) Operating Expenses (2010 - 2026)
Silver Bull Resources (SVBL) posted Operating Expenses of $80.00 for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 99.9% from $65,780 a year earlier and unchanged from the prior quarter.
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Analysis
Silver Bull Resources (SVBL) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Silver Bull Resources was $51,512, down 29.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was $121,796.
- Annual Operating Expenses shows a four-year compound annual growth rate of -53.5% (FY2021 to FY2025).
- In prior fiscal years, Silver Bull Resources' Operating Expenses was $9,419 in FY2024 (-99.0%), $947,353 in FY2023 (-11.1%), $1.07 million in FY2022 (-59.2%) and $2.61 million in FY2021.
- Quarterly Operating Expenses has run from a low of -$49,049 in fiscal Q4 2023 to a high of $596,368 in fiscal Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with an average decline of 96.7% over the last five quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2023, with growth of 68.4%; the weakest was fiscal Q3 2026, with a decline of 99.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $80.00 (Q2 2026), $80.00 (Q1 2026) and $51,272 (Q4 2025).
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 | 163.97 Bn | 142.76 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | -780.00 Mn |
| 10 | Silver Bull Resources | 2.96 Mn | -987,322.15 | - | 80.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 80.00 |
| Apr 30, 2026 | 80.00 |
| Jan 31, 2026 | 80.00 |
| Oct 31, 2025 | 51,272.00 |
| Jul 31, 2025 | 65,780.00 |
| Apr 30, 2025 | 2,302.00 |
| Jan 31, 2025 | 2,442.00 |
| Oct 31, 2024 | 2,292.00 |
| Jul 31, 2024 | 2,292.00 |
| Apr 30, 2024 | 32,501.00 |
| Jan 31, 2024 | 92,264.00 |
| Oct 31, 2023 | -49,049.00 |
| Jul 31, 2023 | 356,122.00 |
| Apr 30, 2023 | 424,207.00 |
| Jan 31, 2023 | 216,074.00 |
| Oct 31, 2022 | 215,313.00 |
| Jul 31, 2022 | 211,484.00 |
| Apr 30, 2022 | 421,999.00 |
| Jan 31, 2022 | 216,324.00 |
| Oct 31, 2021 | 596,368.00 |
API Access
Silver Bull Resources 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=SVBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SVBL", "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=SVBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();