Grouping $MSTR, $COIN, $MARA, and IBIT into a single "Bitcoin-linked equities" bucket is analytically convenient and practically misleading. The four tickers share Bitcoin exposure as a common thread, but the exposure runs through completely different mechanisms, and the filings that matter for each one are almost entirely different. Treating them as interchangeable Bitcoin beta loses most of what the disclosures actually reveal.

The Treasury Holder and the Operating Exchange Are Not the Same Problem

$MSTR is a capital allocation vehicle. The operating software business that originally anchored the company's identity has been eclipsed by the Bitcoin treasury strategy. The relevant variables for $MSTR are Bitcoin price, the cost and structure of its convertible debt and equity issuance, and the BTC-per-share ratio that results from each capital markets transaction. The 10-Q filed May 6, 2026 is the primary source document, and the sections that matter are the digital asset accounting disclosures, the debt schedule, and the ATM activity, not the software revenue line.

$COIN is a different problem entirely. The company reported $1.41 billion in revenue for the latest quarter, per the 10-Q filed May 7, 2026. That revenue flows from transaction fees, custody services, and a growing subscription and services segment. Bitcoin price matters to $COIN because it affects trading volumes and retail engagement, but the company's economics are not reducible to Bitcoin price. A quarter with flat Bitcoin price but elevated trading activity can be a strong quarter for $COIN. A quarter with rising Bitcoin price but low volume can disappoint. The filing sections that matter are the revenue mix breakdown, the custody asset disclosures, and the user metrics, not the digital asset balance sheet.

The risk-factor evolution in each company's annual filings reflects this divergence. $COIN's 10-K filed February 12, 2026 showed 8 added, 8 removed, and 8 materially changed Item 1A risk-factor candidates compared to the prior year filing. $MSTR's 10-K filed February 19, 2026 showed 8 added, 8 removed, and 2 materially changed candidates. The $COIN risk-factor churn is broader and more operationally varied, covering regulatory exposure, competitive dynamics, and revenue concentration. $MSTR's risk-factor changes are narrower and more concentrated around Bitcoin price volatility, financing access, and accounting treatment.

The Miner Runs on Different Physics

$MARA sits in a third category. As a Bitcoin miner, its economics are driven by hash rate, energy cost, block reward economics, and fleet utilization. The 10-Q filed May 11, 2026 is the relevant source document, and the production disclosures and cost-per-coin metrics are the variables that matter. Bitcoin price is an input to miner profitability, but so is the network difficulty adjustment, the energy contract structure, and the efficiency of the installed fleet.

The price performance data makes the divergence concrete. Over the 90 days ending June 18, 2026, $MARA gained approximately 68%, while $MSTR fell approximately 17% and $COIN fell approximately 17% over the same period. IBIT, which tracks Bitcoin directly, fell approximately 10% over the same window. A miner gaining 68% while the underlying asset fell 10% is not Bitcoin beta. That is a miner-specific story, driven by operating leverage, cost structure improvements, or production growth that the filing disclosures contain and that a simple Bitcoin price chart cannot explain.

$MARA's risk-factor diff from its 10-K filed March 2, 2026 showed 8 added, 8 removed, and 8 materially changed Item 1A candidates, a level of churn that reflects the operational complexity of running a large-scale mining business through a post-halving environment. The relevant questions for $MARA are not the same questions as for $MSTR or $COIN.

The ETF Wrapper Is a Different Document Type

IBIT is not an operating company. It is a spot Bitcoin ETF, and its filing context is fund reporting rather than operating-company disclosure. The 10-K filed February 27, 2026 showed 8 added, 8 removed, and 1 materially changed Item 1A risk-factor candidate, a much narrower profile than the operating companies, because the fund's risk factors are largely structural: Bitcoin custody, NAV mechanics, fee structure, and regulatory treatment of the wrapper itself.

Analyzing IBIT with the same framework used for $MSTR or $COIN produces category errors. IBIT has no revenue, no operating leverage, no management team making capital allocation decisions, and no insider Form 4 activity to read. The relevant metrics are AUM, flows, NAV tracking accuracy, and fee drag. Over the 30 days ending June 18, 2026, IBIT fell approximately 18%, closely tracking Bitcoin price movement. That is the point. IBIT is designed to deliver Bitcoin price exposure with minimal basis risk, and the filing confirms that design rather than revealing operating dynamics.

Price Behavior Confirms the Category Differences

The 30-day and 90-day price performance across the four tickers illustrates the category argument directly. $MSTR fell approximately 32% over 30 days and approximately 17% over 90 days, with annualized 30-day realized volatility near 68%. $COIN fell approximately 16% over 30 days and approximately 17% over 90 days, with similar realized volatility. IBIT fell approximately 18% over 30 days and approximately 10% over 90 days, with realized volatility near 43%, closer to Bitcoin itself. $MARA gained approximately 14% over 30 days and approximately 68% over 90 days, with realized volatility near 70%.

$MSTR's volatility premium over IBIT reflects the leverage and concentration embedded in the treasury structure. $COIN's volatility is closer to $MSTR than to IBIT despite being an operating business, which reflects how much of $COIN's revenue is still driven by crypto market activity. $MARA's 90-day outperformance against all three is a miner-specific result that the operating filings explain and that Bitcoin price alone does not.

The Macro Backdrop Sharpens the Category Distinctions

The macro regime as of June 19, 2026 adds context. Bitcoin dominance sat at 58.1%, indicating a Bitcoin-led crypto tape where altcoin exposure is less rewarded than direct Bitcoin exposure. The crypto Fear and Greed index registered 14, classified as extreme fear. Bitcoin 30-day realized volatility was estimated at 39.3%, a calm regime by historical standards despite the sentiment reading.

In a Bitcoin-dominated, fear-driven tape, the category differences become more pronounced. $MSTR's leverage amplifies Bitcoin price moves in both directions, so a fear environment hits the treasury holder harder than it hits the ETF wrapper. $COIN's operating revenue provides a partial buffer because the exchange earns fees regardless of price direction as long as volume holds. $MARA's miner economics are partially insulated from short-term price sentiment by the production cycle and energy contract structure. IBIT simply tracks Bitcoin, so the fear reading is a direct input to its performance, not an amplified or buffered one.

The Counter-View

The strongest pushback against category-specific analysis is that in a sharp Bitcoin price decline, all four tickers fall together, and the category distinctions become academic. The correlation data from prior Bitcoin drawdown periods supports this: when Bitcoin falls 30% or more in a compressed window, $MSTR, $COIN, $MARA, and IBIT all decline materially, and the operating buffers that distinguish $COIN from $MSTR in normal markets compress toward zero. The 30-day performance data for the current period, with $MSTR down approximately 32%, $COIN down approximately 16%, and IBIT down approximately 18%, shows that even in a moderate drawdown the correlations are high.

The category framework survives this objection because the relevant question is not whether the tickers move together in a crisis. They do. The relevant question is what drives each ticker's recovery, what filing disclosures predict the next leg, and what variables an investor needs to monitor to understand whether the thesis is intact. $MSTR's recovery depends on Bitcoin price and capital markets access. $COIN's recovery depends on volume returning to the exchange. $MARA's recovery depends on production economics and energy costs. IBIT's recovery is Bitcoin price, full stop. Those are different monitoring tasks even when the short-term price moves look similar.

The 90-day data makes this concrete. $MARA gained approximately 68% over 90 days while $MSTR fell approximately 17% and IBIT fell approximately 10%. That divergence does not happen if the four tickers are genuinely interchangeable Bitcoin beta. It happens because $MARA's operating dynamics ran independently of Bitcoin price over that window, and the miner-specific filing disclosures are what explain it.

The category framework is not a theoretical preference. It is what the filing tape and the price performance data both confirm.

Research only. Not investment advice.