VanEck Avalanche ETF Common Shares of Beneficial Interest (VAVX)

Key Financials

AI Analysis

AI-generated, general educational analysis — not personal investment advice.

I would treat this not as a conventional operating company but as a listed trust whose stated job is to hold AVAX and value its shares daily against the MarketVector Avalanche Benchmark Rate. It has no conventional moat, pricing power, or durable earnings franchise in the Graham sense. The filed figures are thin: in fiscal Q1 2026, the quarter ended 2026-03-31, net income was -$892,497, and in fiscal Q2 2026, the quarter ended 2026-06-30, net income was -$3.9M. No revenue was reported in either filing, so the reported losses are not offset by a revenue-generating business in the data provided. At the $20.67 close on 2026-10-16 and a $17.1M market cap, the shares sit in the upper two-thirds of the $12.54-$25.00 52-week range. P/E, P/B, ROE, ROCE, D/E, revenue growth, profit growth, dividend yield, and beta are all N/A in the data, so a Graham-style valuation cannot be calculated. The FairStock score is N/A, and the computed Lynch category is none because there are only two quarterly filings and 0 years of filed annual results. I cannot call the price cheap or expensive on fundamentals. Growth depends on AVAX adoption and token price, while the trust's own filings show losses and insufficient history.

In plain English: VanEck Avalanche ETF is a fund that holds Avalanche crypto tokens rather than running a normal business. Based on the limited filed numbers, it has no reported revenue and posted net losses in the two quarters shown, so the operating picture looks weak. The price is hard to call cheap or expensive because there are no earnings or accounting value figures to compare, and the fund’s value mainly follows a volatile crypto asset.

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Data as of 2026-10-16 close · note generated 2026-10-20 · model deepseek-flash

Sources (SEC EDGAR): fiscal Q2 2026 10-Q (period ended 2026-06-30) · fiscal Q1 2026 10-Q (period ended 2026-03-31)

Fundamentals from company filings and market-data providers; prices are end-of-day, not real-time. AI-generated analysis is general and educational — not personal investment advice. Scoring methodology · Score test · Disclaimer