Energenesis Biomedical CO.,LTD. (6657) Fair Value & Analysis
Healthcare · TW · Market cap 3.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Energenesis Biomedical CO.,LTD. (6657) currently trades at 35.35 TWD, while our model-based Fair Value estimate is 45.88 TWD — implying the stock looks roughly 29.8% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
Energenesis Biomedical CO.,LTD. operates in the biomedicine industry in Taiwan. It provides ENERGI-F703, which is Phase III clinical trial for use in treatment of diabetic foot ulcers; ENERGI-F701, a topical tonic for the treatment of alopecia that is in Phase II clinical trial; ENERGI-F711, a burn cream; ENERGI-F703VLU, a gel that treats venous leg ulcers; ENERGI-F703EB, a topical cream for treating wounds in hereditary epidermolysis bullosa; ENERGI-F702 to treat metabolic diseases; ENERGI-F704 for the treatment of inflammatory bowel disease; ENERGI-F708 for asthma treatment; ENERGI-F705 for Parkinson's disease control; ENERGI-F707 for the treatment of mitochondria deficiency; ENERGI-F706 to treat cachexia; ENERGI-F709, a vaccine adjuvant; and ENERGI-F710 for blood phosphate control. The company also offers scientific products, including western blot, cell culture supplement, protein isolation, protein quantification, dyes, and buffer solutions. Energenesis Biomedical CO.,LTD. was …
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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.