UFP Technologies, Inc (UFPT) Fair Value & Analysis
Healthcare · US · Market cap $1.9B
Analysis
UFP Technologies, Inc (UFPT) currently trades at $242.95, while our model-based Fair Value estimate is $166.08 — implying the stock looks roughly 31.6% 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
UFP Technologies, Inc., together with its subsidiaries, designs and manufactures solutions for medical devices, sterile packaging, and other engineered custom products in the United States. The company provides protective drapes for robotic surgery, patient handling and comfort, advanced wound care, infection prevention, disposables for surgical and endoscopic procedures, packaging for medical devices, orthopedic implants, components for cardiac implants, dispenser coils for catheters, and biopharma drug manufacturing. It also offers equipment protection and packaging for firearms, unmanned aerial vehicles/drones, weapon systems, electronic devices communications equipment, and tools and repair kits; cushion and protective packaging; acoustic and thermal insulation components for automotive, aerospace, consumer, and industrial; filtration for small engines, air conditioners, humidifiers, refrigerators, electronic air cleaners, forced air appliances and industrial compressors; fluid …
Open the full interactive analysis →
Similar stocks
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.