Vizsla Silver (VZLA) Amortization of Intangibles (2021 - 2025)
Vizsla Silver (VZLA) recorded Amortizatization of Intangibles of $52,628 in fiscal Q2 2025 (quarter ended Oct 31, 2024), down 33.2% from $78,826 a year earlier but up 10.0% from the prior quarter.
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Analysis
Vizsla Silver (VZLA) Amortization of Intangibles (2021 - 2025) Analysis & Trends
On a TTM basis, Vizsla Silver's Amortizatization of Intangibles came in at $214,763 as of Oct 31, 2024, down 56.3% year-over-year; for FY2024 (ended Apr 30, 2024), it was $242,626, down 22.5% from FY2023.
- Annual Amortizatization of Intangibles has a three-year compound annual growth rate of 205.7% (FY2021 to FY2024).
- Across earlier fiscal years, Amortizatization of Intangibles came in at $313,036 in FY2023 (+530.2%), $49,670 in FY2022 (+485.1%) and $8,489 in FY2021.
- Quarterly Amortizatization of Intangibles has ranged from $5,217 in fiscal Q4 2021 to $307,349 in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles has declined for four consecutive quarters, with growth averaging 17.7% over the last seven quarters.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 439.0% in fiscal Q2 2023, against a decline of 75.5% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $47,824 (Q1 2025), $75,303 (Q4 2024) and $39,007 (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | - |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | - |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | - |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | - |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | - |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | - |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 63.00 Mn |
| 10 | Vizsla Silver | 1.12 Bn | -360.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2025 | 57,990.53 |
| Oct 31, 2024 | 52,628.12 |
| Jul 31, 2024 | 47,824.48 |
| Apr 30, 2024 | 75,303.03 |
| Jan 31, 2024 | 39,006.99 |
| Oct 31, 2023 | 78,825.56 |
| Jul 31, 2023 | 50,389.95 |
| Apr 30, 2023 | 60,441.66 |
| Jan 31, 2023 | 54,992.19 |
| Oct 31, 2022 | 50,696.97 |
| Jul 31, 2022 | 35,683.05 |
| Apr 30, 2022 | 7,178.64 |
| Jan 31, 2022 | 20,366.72 |
| Oct 31, 2021 | 9,406.05 |
| Jul 31, 2021 | 12,697.32 |
| Apr 30, 2021 | 5,216.95 |
API Access
Vizsla Silver Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=VZLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=VZLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();