ReportGem ReportGem 中文

REAL-TIME GLOBAL RESEARCH

HashKey (3887.HK): Initiate on Asia’s Leading Onshore Crypto Exchange at Buy/High Risk

Published: 2026-08-03Institution: CitiCompany / ticker: 3887.HKPages: 46Original language: EnglishEvidence page: 1

Research evidence excerpt

HashKey (3887.HK): Initiate on Asia’s Leading Onshore Crypto Exchange at Buy/High Risk

Viewpoint |

03 Aug 2026 06:33:12 ET │ 46 pages

HashKey (3887.HK)

Initiate on Asia’s Leading Onshore Crypto Exchange at Buy/High Risk

CITI'S TAKE

HashKey Group is Asia's leading regulated digital asset platform, spanning

exchange operations, on-chain financial services, and institutional asset

management. In 2025, the company generated HK$723mn in revenue and Buy / High Risk

processed HK$591bn in trading volume — the highest of regulated onshore Price (31 Jul 26 16:10) HK$1.85

digital asset exchanges in Hong Kong and Asia. We see three structural

Target price HK$5.60growth drivers: (1) accelerating migration from offshore to onshore trading

amid rising regulatory clarity; (2) the convergence of crypto and AI, where Expected share price return 202.7%

HashKey's Layer-2 blockchain infrastructure positions it to capture share of Expected dividend yield 0.0%

the emerging agentic payment economy; and (3) early-mover advantage in

Expected total return 202.7%real-world asset (RWA) tokenization, with ~HK$2bn deployed on-chain. We

initiate at Buy/HR with a HK$5.6 DCF-based TP, implying ~18x 2026E P/S. Market Cap HK$5,117M

US$653M

Asia’s leading onshore digital asset platform — HashKey is the largest regulated

onshore digital asset trading venue in HK/broader Asia. We view it as well

positioned to benefit from the ongoing institutionalization of digital assets globally,

with a full-stack architecture allowing it to capture value across multiple layers of Price Performance

the digital asset value chain. We attribute its significant share price decline (-74%

(RIC: 3887.HK, BB: 3887 HK)YTD) largely to cooled investment sentiment on crypto names and liquidity drain to

AI names.

The English excerpt is extracted automatically from the cited source page and may contain layout or recognition errors. It is never batch translated.

Open report viewer