Vizsla Silver (VZLA) Total Liabilities (2021 - 2026)
Vizsla Silver's Total Liabilities was $295.29 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with $5.63 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Vizsla Silver (VZLA) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Total Liabilities at Vizsla Silver came in at $300.14 million.
- Total Liabilities shows a five-year compound annual growth rate of 213.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $4.59 million in FY2025 (+69.3%), $2.71 million in FY2024 (-44.2%), $4.86 million in FY2023 (-40.0%) and $8.09 million in FY2022 (+720.0%).
- Quarterly Total Liabilities has moved between $1.06 million (fiscal Q1 2025) and $387.62 million (fiscal Q3 2026) over five years.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2022 (growth of 681.6%); the worst was fiscal Q3 2023 (a decline of 75.1%).
- Per Business Quant data, VZLA's Total Liabilities in the three fiscal quarters before Q1 2027 was $300.14 million (Q4 2026), $387.62 million (Q3 2026) and $6.49 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 42.33 Bn |
| 10 | Vizsla Silver | 1.33 Bn | 1.33 Bn | - | 295.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 295.29 Mn |
| Apr 30, 2026 | 300.14 Mn |
| Jan 31, 2026 | 387.62 Mn |
| Oct 31, 2025 | 6.49 Mn |
| Jul 31, 2025 | 5.63 Mn |
| Apr 30, 2025 | 4.49 Mn |
| Oct 31, 2024 | 2.92 Mn |
| Jul 31, 2024 | 1.06 Mn |
| Apr 30, 2024 | 2.71 Mn |
| Jan 31, 2024 | 2.95 Mn |
| Oct 31, 2023 | 2.55 Mn |
| Jul 31, 2023 | 4.07 Mn |
| Apr 30, 2023 | 4.77 Mn |
| Jan 31, 2023 | 1.49 Mn |
| Oct 31, 2022 | 4.49 Mn |
| Jul 31, 2022 | 4.97 Mn |
| Apr 30, 2022 | 8.01 Mn |
| Jan 31, 2022 | 5.98 Mn |
| Apr 30, 2021 | 1.03 Mn |
API Access
Vizsla Silver Total Liabilities 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=total-liabilities&ticker=VZLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VZLA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=VZLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();