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Fintech Startup Mercury Raises $200 Million at $5.2 Billion Valuation, Up 49% in 14 Months

businessvctechfintechaiai-productsai-enterprise-tools 6 posts · 6 accounts

Fintech startup Mercury raised $200 million in a Series D funding round that valued the company at $5.2 billion, up 49% from its last round 14 months ago. TCV led the financing, with a16z, Sequoia, Coatue, CRV, Sapphire and Spark Capital participating.

Mercury has more than 300,000 customers, including one-third of early-stage U.S. startups, along with $650 million in annualized revenue and four straight years of profitability. The company has also received conditional OCC approval to become a federally regulated national bank, with the charter potentially finalized as early as 2027, and is launching Mercury Command, a way to complete financial work end-to-end with AI.

From the sources (6 posts)

@cnbc

Fintech firm Mercury hits $5.2 billion valuation after funding round, up 49% in 14 months

@stockmktnewz

FINTECH STARTUP MERCURY JUST RAISED $200M AT A $5.2 BILLION VALUATION - CNBC

@wallstengine

Fintech startup Mercury raised $200M at a $5.2B valuation, up 49% from its last round 14 months ago. The company has 300K+ customers, including one-third of early-stage U.S. startups, $650M in annualized revenue and four straight years of

@exec_sum

BREAKING: Mercury hits a $5.2B valuation in a new funding round, up +49% in 14 months With over 300,000 customers, Mercury received conditional OCC approval to become a federally regulated national bank and the charter could be finalized a

@mtslive

SITUATION DETECTED: Mercury has raised $200M at a $5.2B valuation in a Series D led by TCV, with participation from a16z, Sequoia, Coatue, CRV, Sapphire, and Spark Capital.

@pitdesi

Mercury: raised $200M at $5.2B post. profitable for 4 years, hit $650M in revenue in Q3 last year, growing faster than ever Launching Mercury Command, a way to complete financial work end-to-end with AI. 🔥

Preview built on a synthetic news corpus (16 weeks, Apr–Jul 2026). Impact calls are model reads, not price data.

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