Microvast Holdings (MVST) Fair Value & Analysis
Consumer Cyclical · US · Market cap $430M
Fair value as of: Jun 24, 2026
Analysis
Microvast Holdings (MVST) currently trades at $1.27, while our model-based Fair Value estimate is $2.03 — implying the stock looks roughly 59.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Microvast Holdings, Inc. engages in the design, development, and manufacturing of battery components and systems primarily for electric commercial vehicles and energy storage systems. The company offers a range of cell chemistries, such as lithium titanate oxide, lithium iron phosphate, electrolyte formulation, full concentration gradient cathode, polyaramid separator, and nickel manganese cobalt. It also designs, develops, and manufactures components of lithium-ion batteries, such as cathode, anode, electrolytes, and separator. The company's commercial vehicle markets cover buses, trains, mining trucks, marine and port vehicles, and automated guided and specialty vehicles, as well as light, medium, and heavy-duty trucks. It operates in China, India, rest of the Asia Pacific, Italy, France, rest of Europe, and the United States. Microvast Holdings, Inc. was founded in 2006 and is headquartered in Stafford, Texas.
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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.