Austar Lifesciences Limited (AULSF) Fair Value & Analysis
Healthcare · US · Market cap $35.9M
Fair value as of: Jun 26, 2026
Analysis
Austar Lifesciences Limited (AULSF) currently trades at $0.0700, while our model-based Fair Value estimate is $0.1400 — implying the stock looks roughly 100.0% 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: high) — always confirm before acting.
About the company
Austar Lifesciences Limited, an investment holding company, provides integrated engineering solutions to pharmaceutical manufacturers and research institutes in Mainland China and internationally. It operates through Integrated Process and Packaging Equipment & Systems (IPS); Consulting, Digitalization and Construction (CDC); and Life Science Equipment and Consumables (SIC) segments. The company also offers clean utility equipment and chemical pharmaceutical preparation systems; bioprocess equipment and systems; clean room, automation control, and monitoring systems; powder and solid equipment and systems; aseptic freeze-drying, filling, and visual inspection solutions; pharmaceutical process contamination control products; packaging and aseptic containment products; biosafety and lab animal equipment and consumables; and laboratory one-stop solutions. In addition, it provides consulting and engineering technical services; compliance and validation services; digital factory services…
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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.