SAIHEAT Limited (SAIH) Fair Value & Analysis
Technology · US · Market cap $22.9M
Fair value as of: Jun 24, 2026
Analysis
SAIHEAT Limited (SAIH) currently trades at $12.00, while our model-based Fair Value estimate is $18.65 — implying the stock looks roughly 55.4% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: low) — always confirm before acting.
About the company
SAIHEAT Limited engages in the development of liquid cooling technologies for cryptocurrency assets. It provides SAIHUB CAB, an indoor cabinet that turns traditional air-cooled bitcoin mining machines into liquid-cooled bitcoin mining machines; ULTIWIT System, a series of outdoor infrastructure products; and advanced computing center ecosystem, a suite of liquid-cooling system that enable carbon-negative data center operations by repurposing waste computing heat. The company also offers mobile and resilient outdoor computing infrastructure units comprising WITBOX product line, including TANKBOX, RACKBOX, and HYDROBOX; HEATBOX, a product line that regulates, supplies, and controls recovered computing heat generated from computing servers; and USERBOX, a design and product that supports computing heat recovery applications. In addition, it provides bitcoin mining machine hosting and mining pool services; and engages in cryptocurrency mining operations comprising Bitcoins. The company …
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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.