PT Ecocare Indo Pasifik Tbk (HYGN) Fair Value & Analysis
Industrials · ID · Market cap 325B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Ecocare Indo Pasifik Tbk (HYGN) currently trades at 139.00 IDR, while our model-based Fair Value estimate is 165.72 IDR — implying the stock looks roughly 19.2% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
PT Ecocare Indo Pasifik Tbk provides hygiene, sanitation, and pest control services in Indonesia. The company offers a range of hygiene products, such as digital sanitizer, water-based freshener, microbust freshener, foam soap dispenser, and auto handroll tissue; classic products, including sanitizer, air freshener, liquid soap dispenser, LCD, hand sanitizer, hand dryer, seat cleaner, flies, sanitary bin digital, auto soap, sanitary bin, doormats, and multifold tissue dispenser; and office disinfectant and hygiene package products comprising air disinfectant spray, antimicrobial soap, and auto hand sanitizer. It also provides disinfectant services; consultation, installation, and maintenance services; building management services; cleaning and housekeeping services to residential, office, and commercial areas; and industrial, commercial, and residential protection pest control solutions. PT Ecocare Indo Pasifik Tbk was founded in 2006 and is headquartered in Jakarta Selatan, Indonesia.
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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.