BitGo冲刺纽交所IPO,加密「托管」第一股来了!

比推Publicado em 2025-09-19Última atualização em 2025-09-19

隔夜,加密资产托管巨头 BitGo 正式向美国证券交易委员会(SEC)提交首次公开募股(IPO)申请,计划以股票代码“BTGO”在纽约证券交易所挂牌上市

这一举动迅速引发市场广泛关注。不仅因为 BitGo 是又一家冲刺主流资本市场的加密企业,更重要的是,它有望成为“加密托管第一股”。

image.png

BitGo的业务进化路径

作为一家成立超过十年的老牌 Web3 基础设施服务商,BitGo 的上市并非一时兴起,而是机构化时代到来的自然结果。公司成立于2013年,最初以提供多重签名钱包和私钥管理服务为核心,主要服务于比特币早期使用者和技术开发者。但随着加密市场的发展,尤其是机构资金的逐步介入,公司业务重心不断上移,逐步发展为集托管、清算、API服务、安全合规为一体的全栈式基础设施平台。

目前其核心业务包括:

  • 合格托管(Qualified Custody):为机构提供符合监管要求的安全存储方案,采用多签名(multi-signature)技术和冷存储,保障资产安全。

  • 自托管钱包:支持用户自主管理资产,覆盖多种加密货币。

  • 流动性解决方案:提供借贷、交易和结算服务,满足机构和高净值客户需求。

  • 基础设施即服务(IaaS):为区块链生态系统提供技术支持,包括API和钱包基础设施。

根据公司披露文件,截至2025年6月30日,BitGo服务于全球100多个国家的4600多家机构客户和110万用户,托管资产规模接近1000亿美元。该公司还与高盛等传统金融机构合作,为其提供加密托管服务,进一步巩固了其在传统金融与加密世界融合中的地位。

收入狂飙,利润承压:资本结构下的增长权衡

根据招股说明书披露的数据,BitGo 2025年上半年营收达 41.9亿美元,相比去年同期增长近四倍。这一增速远超行业平均水平,也凸显其在“机构托管”赛道上的领先地位。

image.png

然而,利润方面却不容乐观:同期净利润为 1260万美元,同比下滑近60%。表面上看,这是一个矛盾的结构,实质上却反映出一家基础设施型企业在快速扩张周期内的必然权衡。

一方面,公司需要持续投入技术安全、合规审核、人力运营、跨境牌照等“重资产”领域;另一方面,营收的快速增长也在倒逼公司加快全球化布局。这种高投入、低利润的财务结构,或许在短期内压缩了盈利能力,但从长远来看,为后续的规模化、品牌化打下了基础。

BitGo 显然选择了一条“利润换份额”的路径,这是所有基础设施公司在早期必须面对的战略抉择。

加密托管“第一股”?BitGo的独特定位

在目前已上市的加密企业中,尽管 Coinbase、Bakkt(BKKT)和Galaxy Digital(GLXY)等公司也提供托管相关服务,但“托管”更多是它们庞大业务体系中的一环,非核心主业。

  • Coinbase(2021年纳斯达克直接上市):估值曾达860亿美元,托管资产超2000亿美元,但核心业务为零售交易。

  • Bakkt(2021年SPAC上市):估值21亿美元,依托洲际交易所(ICE)提供托管服务,定位于传统金融与加密的桥梁。

  • Galaxy Digital(2018年TSX上市,2025年纳斯达克上行):估值28亿美元,提供资产管理和托管服务,但托管非主业。

相比之下,BitGo专注于托管和基础设施,业务模式更加纯粹,没有交易所业务的分心。如果成功上市,BitGo将成为首家以加密托管为核心的上市公司,为行业树立标杆,并可能激励Anchorage、Fireblocks等私有托管公司加快IPO步伐。


image.png

尽管 BitGo 在业务成熟度和资本动作上领先,但加密托管赛道的竞争早已进入深水区。

Fireblocks 是其中的有力挑战者,凭借出色的钱包 API 技术与多方计算(MPC)能力,在交易所与金融科技企业中建立了广泛客户基础。Anchorage 则通过获得美国国家级信托公司资质,进一步强化其合规与政策优势。而 Coinbase Custody 虽是 Coinbase 的子业务,但依托其流量与品牌,也在托管 ETF 资产方面具备领先优势。

与这些对手相比,BitGo 的差异化优势主要体现在其“中立平台”定位与“高净值客户群”结构。它不依赖交易所流量,也不绑定某一链或协议,能够作为多个平台的后台服务提供者。这种“非竞争性”的姿态,反而让它在生态协同中更具粘性。

行业展望

BitGo 的 IPO 并不是一个孤立事件,而是整个加密基础设施商业化进程的节点性事件。

随着主权基金、保险公司、家族办公室等传统资金日益拥抱数字资产,对“合规 + 安全 + 可审计”的托管需求日益上升。这不仅抬高了行业门槛,也为像 BitGo 这样的服务商提供了长期稳定的市场空间。

未来,加密托管很可能演化为一个以 API 为核心的服务网络,与支付、清算、风控、KYC、审计等功能融合,成为 Web3 金融世界的“银行后台”。而在这条赛道上,能跑得越快、越远的,不一定是拥有最多链上资产的项目,而是能为整个系统提供稳定底层服务的托管公司。

如果说 2021 年的 Coinbase 上市是“交易所时代”的标志,那么 BitGo 的 IPO 则可以被视为“合规托管时代”的起点。它能否在资本市场交出令人满意的答卷,也将成为观察加密基础设施商业化前景的一个重要窗口。

作者:seed.eth


Twitter:https://twitter.com/BitpushNewsCN

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

比推 TG 订阅: https://t.me/bitpush

说明: 比推所有文章只代表作者观点,不构成投资建议

Leituras Relacionadas

Google CEO Admits Lagging Behind in Coding

Google CEO Sundar Pichai acknowledged in a recent interview that Google's Gemini AI models are currently "lagging behind" in coding capabilities, particularly for complex, long-horizon tasks requiring advanced developer expertise. He noted the field is advancing at an "unprecedented" pace, where 30-60 days now brings changes equivalent to five years in the past. Pichai expressed that achieving Artificial General Intelligence (AGI) now seems closer than previously imagined due to rapid progress. While highlighting strengths in text, multimodal, and reasoning tasks, Pichai admitted competitors like Anthropic and OpenAI have focused more intently on coding. He emphasized Google's commitment to catching up, citing internal tools like Antigravity 2.0 and the newly released Gemini 3.5 Flash, which aims to address previous shortcomings. Regarding Google Search's AI-driven overhaul, Pichai stated changes will be gradual to align with user needs, not disrupt the core search experience or its advertising model. He addressed public AI anxiety as understandable, given the technology's potential to reshape jobs and society, but remained optimistic about AI augmenting human capabilities and creating new opportunities. Pichai stressed the need for broad societal dialogue and responsible development as AI approaches more advanced, potentially recursive self-improvement stages. He affirmed Google's long-term commitment to leading in AI while navigating its profound implications responsibly.

marsbitHá 1h

Google CEO Admits Lagging Behind in Coding

marsbitHá 1h

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

The Paradox of Automation: The more powerful AI becomes, the more work humans have to do. This article, based on observations from AI-heavy company Every, argues that while AI agents automate tasks like coding, writing, and customer service, they don't eliminate human jobs. Instead, they transform work and create *more* demand for human expertise. AI commoditizes "yesterday's human capabilities" by cheaply generating code, text, and images from past data. This leads to an abundance of similar, generic outputs. Consequently, what becomes scarce and valuable is human judgment in the present moment: knowing *what* is worth doing, *why*, and *how* to do it well. The article identifies two collaboration models: "Agent employees" for delegated tasks and "human-AI collaboration" within tools like Claude Code for complex work. In both cases, humans are essential to set direction, judge quality, and maintain systems. As AI makes execution cheap, human roles shift from executors to designers, reviewers, and meaning-makers. The author addresses "benchmark anxiety" by explaining that AI excels within specific, human-defined problem "frames." As AI masters one frame (e.g., code rewriting), new, more complex frames emerge (e.g., deciding *when* to rewrite). This creates an ongoing cycle where AI chases the frames, but humans remain the "framers." Even with advanced AGI, this dynamic may persist as long as AI lacks true human-like agency and self-directed purpose. The core paradox holds: automation amplifies the need for the very human judgment it seems to replace.

marsbitHá 2h

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

marsbitHá 2h

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

"a16z: 7 Charts on How Tokenization is Changing the Nature of Assets" Tokenized Assets (or Real-World Assets - RWA) are transforming asset forms, liquidity, and financial system construction. The market recently surpassed $30 billion, stabilizing around $34 billion (excluding stablecoins), representing a tenfold increase in less than two years, driven by clearer regulations, mature institutional infrastructure, and increased financial institution adoption. The primary driver of recent growth is tokenized U.S. Treasury bonds. These offer investors efficient, flexible digital access to yield-bearing assets and improve institutional operations like settlement and collateral management. Other asset classes show varied growth: asset-backed credit leads, followed by niche financial assets (e.g., reinsurance, mining notes), while venture capital took longer to scale. Market segmentation shows high concentration. In commodities, tokenized gold dominates (~$5 billion), as its standardized, storable nature fits tokenization well. Bonds are the largest category ($15.2B), but only ~5% are used in DeFi protocols. Conversely, smaller niches like reinsurance tokens see high (~84%) on-chain utilization, highlighting a core industry divide: most current tokenized assets are merely digitized records for easier holding/transfer, lacking the "composability" (free combination/interaction) that is key to blockchain-native finance. The ecosystem is distributed across multiple blockchains, with Ethereum hosting over half the value ($15.7B), followed by BNB Chain, Solana, and others. Future market size predictions vary widely (e.g., $2-$30 trillion by 2030+), but all indicate massive potential from the current small base. Tokenized assets currently represent minuscule fractions of their global counterparts (e.g., 0.01% of global bonds). The current phase focuses on digitizing straightforward assets. The next challenge is to bring more complex financial components on-chain and deeply integrate tokenized assets into composable, internet-native financial infrastructure.

链捕手Há 3h

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

链捕手Há 3h

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

"Tokenized Assets: How Tokenization Changes the Nature of Assets" by a16z Crypto The market for tokenized assets, excluding stablecoins, has grown from under $3 billion two years ago to over $340 billion today. US Treasury bonds are the primary growth driver, allowing investors to hold yield-bearing assets digitally and enabling more efficient settlement. Other key sectors include private credit (growing fastest), commodities (dominated by gold), and niche financial assets. However, the market remains concentrated in tokenized US Treasuries and gold. A critical insight is that most tokenized assets currently lack "composability." While the total market is large, only a small fraction is actively used within DeFi protocols. For instance, only about 5% of tokenized bonds and a low percentage of tokenized gold are utilized on-chain. In contrast, assets like reinsurance and private credit tokens show much higher on-chain usage rates (84% and 33%, respectively). This highlights a divide: many tokenized assets are merely digital records on a blockchain without enabling new, programmable financial applications. The Pantera Capital Token Native Index indicates over 70% of tokenized assets have minimal on-chain native functionality. Ethereum remains the dominant blockchain for tokenized assets (over $150B), but the ecosystem is diversifying across chains like BNB Chain, Solana, and Stellar, based on factors like cost and compliance. Major institutions forecast massive future growth, with predictions for the tokenized asset market ranging from $2 trillion to over $30 trillion by the early 2030s. However, compared to the global financial system (e.g., ~$140T bonds, multi-trillion dollar gold market), tokenized assets currently represent a tiny fraction (0.01% or less). The conclusion is that while tokenization has begun by digitizing and streamlining settlement for simpler assets, the next phase involves bringing more complex financial instruments on-chain and deeply integrating them into composable, internet-native financial infrastructure.

Odaily星球日报Há 3h

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

Odaily星球日报Há 3h

The Revived Codex, Carrying OpenAI's Hopes for IPO

This article analyzes the intense recent development of OpenAI's Codex, positioning it as a crucial component for OpenAI's impending IPO. Over the past two months, Codex has seen a rapid series of major updates focused on integrating into real enterprise workflows. Key new features include enhanced context capture (Appshots, file previews, built-in browser), long-running task execution ("Goal Mode"), remote operation (phone control, lock-screen access), and enterprise management tools (plugin sharing, access tokens, automated risk review). These updates aim to make Codex a comprehensive AI workbench that can "see the scene, push tasks, and manage risks." The author argues that while ChatGPT proves OpenAI's massive user base and API provides foundational revenue, Codex represents OpenAI's clearest path to demonstrating tangible, high-value commercial viability. It targets developers and engineering teams—a segment already accustomed to paying for efficiency gains in costly software development cycles. This is critical because, despite higher overall revenue, OpenAI's adjusted operating margins remain deeply negative, highlighting the challenge of outrunning immense compute costs. The pressure is amplified by competitor Anthropic's success with Claude Code, which has shown that a focused approach on high-value enterprise and developer workflows can lead to a path toward profitability. Codex's aggressive evolution is thus seen as OpenAI's strategic move to capture a similar enterprise-ready, revenue-generating narrative essential for its market debut. In essence, "ChatGPT proved OpenAI has users. Codex needs to prove OpenAI is a business that can make money."

marsbitHá 4h

The Revived Codex, Carrying OpenAI's Hopes for IPO

marsbitHá 4h

Trading

Spot
Futuros
活动图片