Antalpha Platform Holding (ANTA) Fair Value & Analysis
Financial Services · US · Market cap $159M
Fair value as of: Jun 26, 2026
Analysis
Antalpha Platform Holding (ANTA) currently trades at $5.50, while our model-based Fair Value estimate is $10.02 — implying the stock looks roughly 82.2% undervalued today. We read business quality at 82/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Antalpha Platform Holding Company provides financing, technology, and risk management solutions to the digital asset industry in Singapore and internationally. It operates through two segments, Antalpha Prime and XAUt Treasury Strategy. The Antalpha Prime segment provides technology-based supply chain financing and platform services. The XAUt Treasury Strategy segment focuses on digital asset treasury management. The company offers supply chain financing to enterprises secured by Bitcoin and Bitcoin mining machines; and hashrate loans to pay for the acquisition of mining machines and mining operation expenditures. In addition, the company provides financing solutions, including crypto margin loans from its funding partner Northstar. Further, it acts as an agent that offers loan servicing and management, anti-money laundering, and other platform services. Antalpha Platform Holding Company was founded in 2022 and is headquartered in Singapore. Antalpha Platform Holding Company operate…
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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.