Bitwise Avalanche ETF (BAVA) Stock Analysis
Bitwise Avalanche ETF
▾ What's in the 51/100 risk score? (higher = riskier)
Contributions (weight × component score) sum to the total. This near-term score now includes fundamental health (leverage, FCF trend). See the Financial Health section for the full balance-sheet read.
How to read BAVA (speculative micro-cap)
No model can pin a precise fair value on a company this small — but that does not mean there is nothing to learn. The useful questions are what the price is betting on, and whether the company can survive long enough to deliver it.
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1
Reverse-DCF — what growth the price assumes ↓
The single most useful number here: it backs out the growth the market is paying for. If that figure is "historically unprecedented," the price is running on hype, not fundamentals.
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2
Cash runway ↓
A pre-profit micro-cap lives or dies on whether it can fund itself to profitability before running out of money and diluting you.
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3
The raw financial statements + the 10-K ↓
At this scale, the actual numbers, insider ownership, and share-count trend tell you more than any ratio.
It files little or nothing with the SEC — so our cash-flow models, financial statements, and U.S. insider data (Form 4) don't apply. What's still real: the live U.S. price and short positioning. Here's what we could pull from other sources:
Bitwise Avalanche ETF
📑 Read the real filings: latest SEC 10-Q ↗
Identity, share count and tier from FINRA + OTC Markets; not a substitute for the home-market financial statements. Thin U.S. disclosure + OTC trading is itself a risk factor.
⚠ Genuine comparables are scarce at this size, so peer multiples are unreliable here. Treat as rough context only — see 📍 What to focus on above.
How does BAVA stack up against its closest peers?
We take the 8 same-industry companies most similar to BAVA (similar size) and check what investors are paying for each dollar of their revenue (or profits). If BAVA is much more expensive on the same yardstick, that's a red flag — unless you have a specific reason it deserves a premium. For a leveraged business, FCF yield (in the table) is usually more reliable than EV/Sales, because revenue multiples ignore differences in margins and debt.
▾ What's "EV / Sales" in plain English?
EV (Enterprise Value) = market cap + total debt − cash. It's "what you'd pay to buy the entire company outright" — you pay the market cap to shareholders and take over their debt, but you keep their cash. EV is fairer than market cap alone because it includes the debt the new owner inherits.
EV / Sales = EV ÷ annual revenue. So "2.5×" means investors pay $2.50 of enterprise value per $1 of yearly sales. Higher = market is paying more per dollar of sales (usually because they expect future growth or fat margins).
p25 / median / p75 are the 25th, 50th (middle), and 75th percentile of the peers' multiples. Half the peers fall between p25 and p75. The median (p50) is the typical peer — that's the benchmark we compare to.
Bold middle number = median peer. Half the peers trade above it, half below. Computed over 8 same-industry peers; implausible multiples excluded.
⚠️ Important caveat: peer multiples only work if the peers are genuinely comparable. Always check the peer list below — if the auto-picker grabbed micro-caps or unrelated businesses, the comparison is noise. A medical-device giant priced against tiny biotech startups won't produce a useful signal.
▾ View peer list (8)
| Ticker | Company | Industry | Mcap | EV/EBIT | FCF Yield |
|---|---|---|---|---|---|
| QETH | Invesco Galaxy Ethereum ETF | Investment Banking | $18M | — | — |
| TETH | 21Shares Ethereum ETF | Investment Banking | $16M | — | 8.4% |
| UNL | United States 12 Month Natural Gas | Investment Banking | $16M | — | — |
| GSUI | Grayscale Sui Staking ETF | Investment Banking | $32M | — | — |
| EZPZ | Franklin Crypto Trust | Investment Banking | $11M | — | — |
| EZET | Franklin Ethereum Trust | Investment Banking | $40M | — | — |
| SUIS | Canary Staked SUI ETF | Investment Banking | $42M | — | — |
| GDOG | Grayscale Dogecoin Trust ETF | Investment Banking | $8M | — | — |
Quality & solvency checks
Cheap stocks can be cheap for a reason. These screens warn when a low valuation comes paired with structural fragility.
Why it matters: Cheap-looking stocks (low P/E or P/B) often have low Z-scores because the market knows the company is dying. Z-score warns you before you fall into a value trap.
Reference: > 3.0 = safe zone · 1.81–3.0 = grey zone · < 1.81 = distress zone
Full explanation →
Altman Z was calibrated on industrial firms and doesn't apply to banks or insurers — their balance sheets are dominated by loans/securities, not working capital. See the Bank Valuation Lens above for P/B, ROE and ROA — the metrics regulators and analysts actually use to assess bank solvency.
Why it matters: High score = fundamentals improving. Low score = deteriorating. Especially powerful for filtering cheap stocks: cheap + high F-score historically outperforms; cheap + low F-score is often a value trap.
Reference: 7–9 = strong · 4–6 = mediocre · 0–3 = weak
Full explanation →
Piotroski F was built for non-financial firms (gross margin, asset turnover, current ratio all assume an industrial cost structure). For banks, the equivalent quality signals are efficiency ratio, net interest margin, and provision coverage — see the Bank Valuation Lens above.
A standard discounted cash flowDCF — Discounted Cash Flow — sums up all future cash a business will produce, adjusted for the fact that future dollars are worth less than dollars today.
Why it matters: It is the most fundamentally honest valuation method when applicable — but only works for companies with predictable, positive cash flow.
Reference: Best for: mature, profitable businesses. Fails for: pre-profit growth, banks, REITs.
Full explanation → valuation is not meaningful for BAVA because it is an ETF, not an operating company, and thus does not generate free cash flowFree Cash Flow (FCF) — Operating cash flow minus capital spending: cash left after a company covers operating costs, taxes and interest and reinvests in the business — but BEFORE repaying debt principal or paying dividends. The cash actually available to investors.
Why it matters: A company can show big profits on paper while burning through cash. FCF is what actually fills the bank account.
Reference: Healthy mature businesses convert 8–15% of revenue into FCF · Growth companies often negative
Full explanation →. The model indicates no positive equity value under its assumptions, reflecting the speculative nature of valuing an ETF based on a residual income model. Investors are betting on the performance of the underlying Avalanche cryptocurrency and the broader crypto market. The number one quantifiable risk is the inherent volatility and lack of intrinsic valueIntrinsic Value — Our DCF model's estimate of what each share is mathematically worth based on projected cash flows.
Why it matters: Compare to current price. Below IV = potentially undervalued. Above IV = priced for growth that must actually happen.
Reference: Model-derived; quality depends on data and assumptions.
Full explanation → of the underlying assets.
As of 3 months ago
Anatomy of a share
What you're buying per share. Bars are at the same scale so you can see the relative size of revenue, costs, cash flow, and debt — not just read them in a table.
What you actually need to decide
Every stock price is a disagreement. Here's the single thing that must go right for the bulls, the single thing that breaks the thesis, and the concrete signposts to watch so you can update your view as real results arrive.
- Avalanche network transaction volume growth
- New decentralized applications (dApps) on Avalanche
- Overall cryptocurrency market sentiment
Management & Leadership
Bitwise Asset Management, the issuer of the BAVA ETF, is led by CEO Hunter Horsley, who co-founded the firm in 2017. Teddy Fusaro serves as President and CIO Matt Hougan guides investment strategy. They focus on providing institutional-grade access to crypto assets.
What They Make
BAVA is an exchange-traded fund (ETF) that aims to track the performance of the Avalanche (AVAX) cryptocurrency. It provides investors with exposure to AVAX without directly holding the digital asset.
End Markets
Revenue Drivers
Why Is It Priced Like This?
Why Customers Pay
The income statement and balance sheet are also too incomplete here to substitute another lens honestly, so this page carries price, momentum and disclosure facts only.
The market prices BAVA based on the underlying value and future prospects of the Avalanche cryptocurrency, as a cash-flow model is not applicable for an ETF. The 'Franchise/durability score 0/5' indicates a lack of traditional business fundamentals, suggesting pricing is driven by speculative interest in the crypto asset and its ecosystem's growth potential.
Business Model & Valuation
How They Make Money
Residual Income
Balance-sheet financial (Investment Banking): residual income model - book value is meaningful anchor.
Show advanced inputs
| Sector Default | 8.0% |
What this model does NOT do: this is a consolidated owner-earnings FCF model. Standalone segment assumptions: none. It does not project net interest income and fee-income lines independently; their combined effect is embedded in the historical revenue and cash-flow trend the model extrapolates. The calculator above can only approximate a segment's impact through the single consolidated growth rate — it cannot model any one line separately. For a true segment-level view, build a separate model from the company's segment disclosures.
Maturity & Competitive Position
Moat Signals
Geography & Markets
Bitwise Asset Management is headquartered in the United States, and BAVA is traded on US exchanges, making its primary operational and investor base North American. The underlying Avalanche cryptocurrency operates globally.
Geographic Risks
Market Signals
These are timing signals, not value signals — they describe the stock's recent price behavior, not what the business is worth. Use them for the "the thesis looks good, but is now the moment?" question. Each tile below explains what it's saying.
Why it matters: Short-term contrarian indicator. Extreme readings often precede mean reversion, though not always.
Reference: 30–70 normal · >70 overbought · <30 oversold
Full explanation → (14)39.3NeutralMomentum is balanced — neither overbought nor oversold.
Technicals describe price, not the business. A great company can have a "bearish" tape (a buying chance) and a weak one a "bullish" tape (a trap). Pair these with the valuation and health sections above.
QUALITY
Data Quality & Risk Flags (6 notes — click to expand/collapse)
Guardrail Notes (6)
- Financial sector: using residual income model. IV = Book Value + PV(excess earnings).
- INVARIANT: weighted IV is non-positive. Model may not be appropriate.
- Model implies no positive equity value under these assumptions. Valuation is speculative/low-confidence.
- Illiquidity discount 25% applied (small/micro-cap — harder to exit, demand a margin).
- Model mismatch: residual income inappropriate for asset-light financial (BVPS $0.00 not meaningful vs price $24). Consider FCF model.
- DATA UNAVAILABLE: per-share values suppressed due to missing/unreliable shares data.
FINANCIALS
Financial Statements (5-year tables — click to expand)
From Bitwise Avalanche ETF's SEC filings (EDGAR).
Similar companies worth a look
Same sector and industry, similar fundamentals shape. Verify everything yourself — this list is computed mechanically and does not reflect our judgment about whether any of these are a good investment.