Galaxy Digital Secures New York BitLicense for Institutional Services

Galaxy Digital, a crypto-focused financial services company led by Mike Novogratz, has received a BitLicense and Money Transmission License from the New York State Department of Financial Services (NYDFS). The approval was granted Monday to the company's subsidiary, GalaxyOne Prime NY, which provides trading and financing services to institutional investors. This regulatory milestone allows Galaxy to expand digital asset services to institutional clients in New York, one of the most tightly regulated jurisdictions for cryptocurrency businesses in the United States. Novogratz stated that New York represents the "deepest pool of institutional capital in the country," and the approvals will help broaden institutional access to digital assets. The licenses extend Galaxy's regulatory reach as the company navigates a volatile digital asset market.

## New York BitLicense Framework

Introduced in 2015, New York's BitLicense is widely considered one of the most difficult regulatory approvals for crypto companies to obtain. The license requires extensive compliance controls related to anti-money laundering, cybersecurity, capital reserves, and consumer protection. Recently, Jack Mallers' Strike was among high-profile crypto companies to receive NYDFS approval, allowing the firm to offer Bitcoin services to residents and businesses in the state.

## Q1 Financial Results

The regulatory milestone comes as Galaxy navigates market volatility. The company reported a net loss of $216 million in the first quarter ended March 31, driven largely by lower digital asset prices. Gross revenue totaled $10.2 billion for the quarter, down from $12.9 billion in the same period a year earlier.

## Data Center Expansion

Galaxy has expanded beyond cryptocurrency trading and investing into data center infrastructure. According to its Q1 earnings report, the company's Helios Data Center campus in Texas supports revenue tied to artificial intelligence and high-performance computing workloads.