- Updated: March 31, 2026
- 2 min read
Whoop Raises $575 Million in Series G, Valuation Surpasses $10 Billion
Whoop Raises $575 Million in Series G, Valuation Surpasses $10 Billion
Wearable‑tech leader Whoop announced a massive Series G funding round that brings the company’s valuation to an impressive $10.1 billion. The round, led by a consortium of top‑tier investors, raised $575 million and underscores the growing demand for data‑driven health and performance tracking.
Key highlights of the financing include:
- Valuation: $10.1 billion, positioning Whoop among the most valuable private health‑tech firms.
- Investors: Existing backers such as General Atlantic, Sequoia Capital, and new participants like SoftBank Vision Fund 2 joined the round.
- Use of funds: Expansion of research & development, scaling international operations, and accelerating hiring across engineering, product, and go‑to‑market teams.
- Strategic focus: Continued investment in AI‑powered analytics, new hardware iterations, and preparation for a potential public listing within the next 12‑18 months.
Since its inception, Whoop has achieved several milestones, including a record‑breaking subscriber base, partnerships with elite sports organizations, and the launch of its latest generation of wearable devices that combine advanced biometric sensors with a sleek design.
The fresh capital will also support Whoop’s ambition to broaden its footprint in Europe and Asia, tapping into emerging markets where personalized health insights are gaining traction.
Industry analysts view the funding as a strong vote of confidence in the subscription‑based wearables model and anticipate that Whoop’s data ecosystem will become a cornerstone for next‑generation health platforms.
Read the full story on TechCrunch for more details.
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Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.