Amber International Holding (AMBR) Fair Value & Analysis
Technology · US · Market cap $145M
Fair value as of: Jun 24, 2026
Analysis
Amber International Holding (AMBR) currently trades at $1.55, while our model-based Fair Value estimate is $0.9400 — implying the stock looks roughly 39.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Amber International Holding Limited operates a digital asset wealth management platform in Hong Kong. It acts as the institutional gateway to crypto finance; and provides market access, execution infrastructure, and investment solutions for institutional investors and high-net-worth individuals (HNWIs). The company also offers wealth management solutions, including structured investment products, such as dual cryptocurrency instruments and accumulator/decumulator products; yield and decentralized finance (DeFi) solutions; and collateralized lending, including configurable loan terms and automated position monitoring mechanisms. In addition, it provides full-stack execution solutions for centralized exchanges (CEXs), decentralized exchanges (DEXs), and over-the-counter (OTC) markets; crypto-to-fiat and fiat-to-crypto conversion services through regulated channels; and Amber Premium Crypto Card, a virtual payment solution designed to integrate digital assets with traditional financial…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.