E-Power Inc (EPOW) Fair Value & Analysis
Industrials · US · Market cap $24.4M
Fair value as of: Jun 23, 2026
Analysis
E-Power Inc (EPOW) currently trades at $0.5820, while our model-based Fair Value estimate is $2.89 — implying the stock looks roughly 396.6% undervalued today. We read business quality at 80/100 (high quality), in the Industrials 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
E-Power Inc. engages in the manufacture and sale of graphite anode material for use in EVs and other lithium-ion batteries. It offers education consulting, technical, training, tailored, information technology, business incubation, enterprise information technology integration, health, and agricultural technology services, as well as cultural and artistic exchanges and planning, Knowledge sharing and enterprise, and conference services. The company is also involved in business development on lithium battery materials; new energy investment; research and development of sodium-ion and carbon batteries; and produces and sells lithium battery materials. The company was formerly known as Sunrise New Energy Co., Ltd. and changed its name to E-Power Inc. in February 2026. E-Power Inc. was founded in 2014 and is headquartered in Zibo, the People's Republic of China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is E-Power Inc (EPOW) undervalued?
What is the fair value of EPOW?
What is the quality score of EPOW?
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.