Strategy的14亿美金“续命水”，够吗？

比推Publicado em 2025-12-01Última atualização em 2025-12-01

作者：JED GRAHAM

原标题：Strategy Raises $1.4 Billion For 'Bitcoin Winter.' Is It Enough?

编译及整理：BitpushNews

MicroStrategy（MSTR）正在为可能的“比特币寒冬”做准备，宣布上周通过发行820万股股票筹集了14亿美元，这笔资金将足以覆盖其未来21个月的所有利息支出。

尽管比特币价格的坏消息目前占据上风，导致加密货币下跌，但相对的好消息是，Strategy表示未来至少21个月内将无需出售任何比特币。即使资本市场对MSTR股票、债务和优先股失去兴趣，这一承诺依然有效。

目前，MicroStrategy的利息和优先股股息支出约为每年8亿美元。然而，这笔储备基金可能无法避免从2027年9月开始的大规模现金危机。

届时，如果股价持续低迷，公司将必须赎回10亿美元的可转换债券。此外，公司另有56亿美元可转换债券目前处于价外状态，可能需要在2028年以现金赎回。

昂贵的保险政策

MicroStrategy本可以使用14.4亿美元赎回部分优先股，这样每年可节省超过1.5亿美元的利息支出。但该公司在周一宣布，其STRC优先股的利率将从最初的9%上调至10.75%。

相比之下，将现金留存并投资于无风险政府债券，MicroStrategy可能获得4%至5%的利息收益。选择不偿还债务意味着公司及其普通股股东每年需支付约9000万美元的“保险费”，以换取在资本市场冻结时的备用计划。

战略抉择与估值考量

MicroStrategy更倾向于在公司企业价值（包括市值、债务和优先股）高于其比特币持仓价值时出售股票。目前情况依然如此——用公司术语来说，其市场净资产价值（mNAV）仍高于1。

“当我们考虑比特币寒冬时，看到mNAV被压缩，我希望我们的mNAV不会跌破1，”MicroStrategy首席执行官Phong Le在上周的"What Bitcoin Did"播客中表示。“但如果真的跌破，而我们又没有其他融资渠道，我们将不得不出售比特币。”

然而，公司决定不让MSTR股价在短期内决定其命运。当股息支付到期时，MicroStrategy可以选择动用储备基金。

储备基金无法解决的问题

MicroStrategy的美元储备基金可以提供短期内无需出售比特币的保障，但这种缓解可能不会持续太久，除非比特币价格和MSTR股价能够收复部分失地。

因为如果公司真的需要动用该基金，其规模将会缩小。届时，如果公司估值跌破比特币持仓价值，进一步发行股票将变得更加困难。

真正的危机时刻：2027年可转换债券到期

真正的危机可能最早在2027年9月到来，届时公司的可转换债券将到期。

标普全球在10月27日给予MicroStrategy B-信用评级（展望稳定）时，特别强调了其可转换债券带来的“流动性风险”。

“我们认为存在一种风险，即当比特币遭遇严重压力时，可转换债券可能同时到期，这可能导致公司不得不以低迷价格清算比特币，或对其可转换债券或优先股进行重组——我们可能将此视同违约，”标普全球写道。

当时标普指出，有50亿美元可转换债券处于“价外”状态（即低于转换价格）。自那以后，另有18亿美元可转换债券跌破了转换价格，其中包括转换价为183.19美元的10.1亿美元债券。债券持有人可在2027年9月15日要求公司偿还本金——如果股权不能为继续提供低成本融资提供足够激励，他们很可能会这样做。

可转换债券详情表

以下是MicroStrategy可转换债券的关键数据：

| 发行日期 | 本金 | 利率 | 转换价格 | 持有人赎回权日期 |

| 2024年9月 | 10.1亿美元 | 0.625% | 183.19 | 2027年9月15日 |

| 2024年11月 | 30亿美元 | 0.0% | 672.4 | 2028年6月1日 |

| 2024年3月 | 8亿美元 | 0.625% | 149.77 | 2028年9月15日 |

| 2025年2月 | 20亿美元 | 0% | 433.43 | 2028年3月1日 |

| 2024年3月 | 6.0375亿美元 | 0.875% | 232.72 | 2028年9月15日 |

| 2024年6月 | 8亿美元 | 2.25% | 204.33 | 2029年6月15日 |

（数据来源：MicroStrategy 10-Q报告）

小结

MSTR股价在12月1日收盘下跌6%，较7月中旬的52周高点已累计下跌64%。盘中一度跌至156美元，随后收窄跌幅至167美元上方。

比特币价格下跌7.1%至84,996美元，未能从略低于84,000美元的低点实现有效反弹。

因此，Strategy的故事正演变为一场与时间的赛跑。公司用14亿美元换来21个月的缓冲期，但真正的考验是2027年那批必须兑现的巨额可转债。当市场用股价暴跌来表达担忧时，这家比特币最大上市公司面临的已不仅是短期流动性问题，而是如何在下一个牛市周期到来前，守住这份沉重的信仰与债务。

毕竟在加密世界，时间从来不是线性的——而Strategy需要的，恰好是足够的时间。

Twitter：https://twitter.com/BitpushNewsCN

比推 TG 交流群：https://t.me/BitPushCommunity

比推 TG 订阅： https://t.me/bitpush

原文链接:https://www.investors.com/news/mstr-stock-strategy-bitcoin-winter-reserve-fund/

说明: 比推所有文章只代表作者观点，不构成投资建议

Phong LeStrategy比特币流动性美元

Leituras Relacionadas

Hands-on with Hunyuan Hy3 Preview: Tencent's AI, Finally Competitive?

Tencent's Hunyuan AI team has released its latest language model, Hy3 preview, marking a significant step forward for the company's AI capabilities. With 295B total parameters and support for 256K context length, the model employs a mixture-of-experts architecture. It shows improvements in complex logic, instruction following, contextual learning, code generation, and agent task execution. In testing, Hy3 preview demonstrated strong performance in multi-step logical reasoning but showed occasional instability in identifying traps in trick questions. It performed well in extracting key information from disordered meeting transcripts and accurately followed new linguistic rules. As an AI agent, it successfully built functional applications like a Snake game and generated data analysis dashboards, though it sometimes fell short in fully completing complex open-ended tasks. In natural language use, it produced coherent and stylistically appropriate narratives with reduced “AI-like” tone. Priced competitively, Hy3 preview is already integrated into Tencent’s key products, including Tencent Cloud and WorkBuddy. While not leading in every benchmark, it represents a solid, practical model that signals Tencent’s renewed momentum in AI development.

marsbitHá 5m

Hands-on with Hunyuan Hy3 Preview: Tencent's AI, Finally Competitive?

marsbitHá 5m

From Theft to Re-entry: How Was $292 Million "Laundered"?

A sophisticated crypto laundering operation was executed following the $292 million hack of Kelp DAO on April 18. The attack, attributed to the North Korean Lazarus group, began with anonymous infrastructure preparation using Tornado Cash to fund wallets untraceably. The hacker exploited a vulnerability in Kelp’s cross-chain bridge, stealing 116,500 rsETH. To avoid crashing the market, the attacker used Aave and Compound as laundering tools—depositing the stolen rsETH as collateral to borrow $190 million in clean, liquid ETH. This move triggered a bank run on Aave, causing an $8 billion drop in TVL. After consolidating funds, the attacker fragmented them across hundreds of wallets to evade detection. A major breakpoint was THORChain, where over $460 million in volume—30 times its usual activity—was processed in 24 hours, converting ETH into Bitcoin. This shift to Bitcoin’s UTXO model exponentially increased tracing complexity by shattering funds into countless untraceable fragments. The final destination was Tron-based USDT, the primary channel for illicit crypto flows. From there, funds were cashed out via OTC brokers in China and Southeast Asia, using unlicensed underground banks and UnionPay networks outside Western sanctions scope. Ultimately, the laundered money supports North Korea’s weapons programs, which rely heavily on crypto hacking for foreign currency. The incident underscores structural challenges in DeFi: its openness, composability, and lack of central control make such laundering not just possible, but inherently difficult to prevent.

marsbitHá 10m

From Theft to Re-entry: How Was $292 Million "Laundered"?

marsbitHá 10m

Behind DeepSeek V4's Stunning Debut: Silicon Valley Is 'Building Walls,' China Is 'Paving Roads'

China's AI landscape is witnessing a strategic divergence from Silicon Valley’s closed-source competition to a collaborative open-source ecosystem. On April 24, DeepSeek released V4, a top-ranked open-source model on Hugging Face, featuring breakthroughs like million-token context length with minimal KV cache and native support for domestic chips like Huawei’s Ascend. Similarly, Kimi’s K2.6, released days earlier, also adopted open-source principles. Unlike U.S. giants such as OpenAI and Anthropic—locked in revenue disputes and tactical product clashes—Chinese firms embrace shared innovation. DeepSeek and Kimi openly build on each other’s advances, like the MLA architecture and Muon optimizer, avoiding redundant R&D and driving down costs. DeepSeek V4 focused on pushing base model capabilities, while Kimi specialized in Agent-based applications. Although U.S. firms lead in revenue and valuation, China’s open-source models achieve comparable performance at a fraction of the cost (e.g., DeepSeek V3 trained for $5.58M vs. GPT-5’s $500M+). With token usage growing exponentially, China’s collaborative model promises scalable, affordable AI built on domestic hardware, shaping a more accessible path to AGI.

marsbitHá 19m

Behind DeepSeek V4's Stunning Debut: Silicon Valley Is 'Building Walls,' China Is 'Paving Roads'

marsbitHá 19m

OpenClaw vs. Hermes: Which One Is Right for You?

Two leading AI agent projects, OpenClaw and Hermes, represent a fundamental divergence in design philosophy rather than just a feature competition. OpenClaw, a GitHub phenomenon, prioritizes user control and customization, offering a powerful, flexible platform for building and orchestrating agents. It boasts a massive ecosystem with over 44,000 skills, extensive model flexibility (supporting Anthropic, OpenAI, and others), and deep integrations across multiple messaging platforms. In contrast, Hermes Agent, developed by Nous Research, champions automation and efficiency. It is designed for lower cost and a lower barrier to entry, learning and improving automatically from user workflows. It runs tasks in isolated environments for security and offers significantly lower token costs out-of-the-box. The choice between them mirrors historical tech divides like Windows vs. Mac. OpenClaw is for users who want maximum control, customization, and don't mind a complex setup. Hermes is the smarter default for those seeking an affordable, easy-to-use agent that learns autonomously. The real competition is not about which is better, but which philosophy—a programmable personal OS or a self-evolving work proxy—better suits the user's needs for control, cost, and ease of use.

marsbitHá 40m

OpenClaw vs. Hermes: Which One Is Right for You?

marsbitHá 40m

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

marsbitHá 6h

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

marsbitHá 6h

Trading

Spot

Futuros

Artigos em Destaque

Como comprar SUI

Bem-vindo à HTX.com!Tornámos a compra de SUI Network (SUI) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar SUI Network (SUI) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu SUI Network (SUI)Depois de comprar o teu SUI Network (SUI), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona SUI Network (SUI)Transaciona facilmente SUI Network (SUI) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

531 Visualizações TotaisPublicado em {updateTime}Atualizado em 2025.03.21

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de SUI (SUI) são apresentadas abaixo.