Medical Developments International Limited (MDDVF) Fair Value & Analysis
Healthcare · US · Market cap $41.7M
Fair value as of: Jun 24, 2026
Analysis
Medical Developments International Limited (MDDVF) currently trades at $0.3700, while our model-based Fair Value estimate is $0.2500 — implying the stock looks roughly 32.4% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Medical Developments International Limited manufactures and distributes emergency medical solutions in Australia, Asia, Europe, the United States, and internationally. The company operates through Pain Management and Respiratory segments. It offers Penthrox, a trauma and emergency pain relief product for use in hospitals, emergency departments, ambulance services, sport medicines, and for analgesia during short procedures. The company also distributes asthma and chronic obstructive pulmonary disease products, such space chambers, peak flow meters, portable nebulisers, and silicon face mask. Medical Developments International Limited was founded in 1972 and is headquartered in Scoresby, Australia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Medical Developments International Limited (MDDVF) undervalued?
What is the fair value of MDDVF?
What is the quality score of MDDVF?
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.