Strategy CEO Highlights Scenarios Where Company Would Sell Bitcoin — Report

bitcoinistPublicado a 2026-05-11Actualizado a 2026-05-11

Resumen

Strategy CEO Phong Le outlined potential scenarios for the company to sell portions of its massive Bitcoin holdings, a departure from its "Never Sell" philosophy. In a CNBC interview, Le stated sales could occur to finance dividend payments for its Perpetual Preferred Stock if doing so increases shareholder value, defined as a rise in "Bitcoin per share." He emphasized a data-driven approach, prioritizing math over ideology. Other reasons include when the company's book value is below market value or to capture tax benefits. As the largest corporate holder with 818,334 BTC (~$65 billion), Strategy has significant annual dividend obligations (~$1.5 billion). Le believes the Bitcoin market's high liquidity (~$60B daily volume) can absorb such sales without major price impact. Bitcoin currently trades around $80,840.

Strategy CEO Phong Le has highlighted scenarios in which the company would offload some of its Bitcoin holdings. This explanation follows the treasury firm’s chairman, Michael Saylor, hinting at the possibility of strategically selling portions of its BTC over the past week.

Why Strategy Could Shed Some Of Its Bitcoin Holdings

In an interview with CNBC, Le analyzed the conditions under which Strategy could sell some of its Bitcoin holdings. While this move would be in stark contrast to the firm’s “Never Sell” strategy, the CEO believes a change in philosophy might be necessary given current market conditions.

The CEO mentioned that the company could sell some of its BTC to finance the payment of the 11.5% dividend yield on its Perpetual Preferred Stock (STRC). Le said that Strategy would sell a portion of its BTC to cover the dividend if it increases shareholder value (defined as a rise in the “Bitcoin per share”).

Source: @phongle on X

Le said in the interview:

I believe in math over ideology, and at the point where selling Bitcoin versus selling equity to pay a dividend is better for our Bitcoin per share, and for our common shareholders, we will do it.

Strategy’s CEO further explained that BTC sales are accretive to shareholder value when the company’s book value is below market value, or vice versa. Le also mentioned the option to sell Bitcoin to capture deferred tax gains (and losses, as in its current case).

As of press time, Strategy is the largest corporate holder of Bitcoin, with about 818,334 BTC (approximately 4% of the cryptocurrency’s supply) on its books. With more than $1.5 billion in annual dividend obligations, Le suggested that its $65 billion BTC holdings are more than enough to cover these payments.

How Could Strategy’s Sales Affect Bitcoin Price?

As expected, the idea that the largest corporate holder of Bitcoin would sell its holdings to meet obligations has not been well received. However, the Strategy CEO believes that the premier cryptocurrency is liquid enough to withstand any major sales by his firm.

In Le’s own words, selling in the open market to fund a $1.5 billion dividend payment is a drop in the ocean of Bitcoin’s daily trading volume of over $60 billion. While admitting that Strategy is a significant player in the market, Le does not believe his firm’s activity has any major influence on price (considering how liquid the market is).

As of this writing, BTC is valued at around $80,840, reflecting a 0.5% price increase in the past 24 hours.

The price of BTC on the daily timeframe | Source: BTCUSDT chart on TradingView

Preguntas relacionadas

QAccording to the article, what is the primary scenario under which Strategy might sell some of its Bitcoin holdings?

AStrategy might sell some of its Bitcoin to finance the payment of the 11.5% dividend yield on its Perpetual Preferred Stock, but only if doing so increases shareholder value by raising the 'Bitcoin per share' metric.

QWhat are the two conditions mentioned by CEO Phong Le under which selling Bitcoin would be considered accretive to shareholder value?

ASelling Bitcoin would be accretive to shareholder value when the company's book value is below its market value, or conversely, when the market value is below the book value.

QHow does CEO Phong Le justify a potential shift from the company's 'Never Sell' strategy regarding Bitcoin?

APhong Le justifies the potential shift by stating 'I believe in math over ideology,' meaning that a change in philosophy might be necessary given current market conditions if selling Bitcoin benefits shareholders more than selling equity.

QWhat is the approximate size of Strategy's Bitcoin holdings, and how does it compare to the overall Bitcoin supply?

AStrategy holds about 818,334 BTC, which is approximately 4% of Bitcoin's total supply, with a value of approximately $65 billion as referenced in the article.

QHow does CEO Phong Le assess the potential market impact of Strategy selling Bitcoin to cover its dividend obligations?

ALe believes the impact would be minimal, stating that selling to fund a $1.5 billion dividend payment is a 'drop in the ocean' compared to Bitcoin's daily trading volume of over $60 billion, and he does not believe his firm's activity has a major influence on price given the market's liquidity.

Lecturas Relacionadas

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbitHace 2 hora(s)

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbitHace 2 hora(s)

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

The Bitcoin mining industry is undergoing its most complex structural adjustment since inception. Despite Bitcoin's price holding near $61,000 and the network hash rate approaching a record 1 ZH/s, miner profitability is deteriorating. The industry is operating close to its breakeven point, with the 2028 halving expected to accelerate consolidation. The challenges extend beyond the halving's subsidy reduction; the industry's revenue model has yet to successfully transition towards a fee-driven structure. Increasingly, mining companies are evolving from simple Bitcoin producers into infrastructure and energy operators, including providers of AI/HPC computing power. Competition is shifting from pure hash rate expansion to business model upgrades. Economic pressure is evident. The theoretical daily mining revenue at current prices is around $78 million, yet the actual figure is only about $33 million—a 136% gap. Transaction fees remain low at roughly $220k daily, far below historical implied levels. With a current estimated industry-wide breakeven price near $65,000, mining alone is struggling to generate ideal profits. The 2028 halving is projected to push the fundamental production cost floor to approximately $93,289. This will likely accelerate a shift towards consolidation among larger, well-capitalized miners with diversified revenue streams. Competitive advantage will belong to institutionalized players with access to low-cost energy, AI/HPC hosting operations, and stronger balance sheets. In essence, Bitcoin mining is transitioning from a "mining business" to an "infrastructure business." Future profitability and resilience will depend less on block rewards and more on diversified income sources like energy management and computational infrastructure services. For investors, the key question is not the halving itself, but which miners can successfully navigate this business model transformation.

marsbitHace 4 hora(s)

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

marsbitHace 4 hora(s)

This is How God Karpathy Uses Claude?

Andrej Karpathy, a prominent figure in AI, has reportedly joined Anthropic, leading to a noticeable decrease in his open-source contributions and social media activity. A document claiming to be his personal "CLAUDE.md" file—a set of instructions for the Claude AI to follow within a specific codebase—has been circulating online. While its authenticity is unverified, the content aligns closely with Karpathy's publicly shared principles on effective AI-assisted programming. The document outlines key rules for AI coding assistants, emphasizing the importance of reading existing code thoroughly before writing new code to maintain consistency. It advises against over-engineering, advocating for simple, surgical modifications that match the project's existing style. Other guidelines include clarifying assumptions upfront, writing meaningful tests, thoughtful debugging, and carefully considering dependencies. The core message is that these principles help prevent common AI coding failures, such as introducing unnecessary abstractions, style drift, or making invisible architectural decisions. The community has noted that even experts like Karpathy require detailed instructions to guide AI effectively, akin to managing a junior developer. A related GitHub repository, "andrej-karpathy-skills," which encapsulates these ideas, is reported to significantly reduce Claude's code error rate. Ultimately, the advice stresses that the best CLAUDE.md is tailored to one's own tech stack and coding practices.

marsbitHace 4 hora(s)

This is How God Karpathy Uses Claude?

marsbitHace 4 hora(s)

Trading

Spot
活动图片