Barco NV (BCNAF) Fair Value & Analysis
Technology · US · Market cap $855M
Analysis
Barco NV (BCNAF) currently trades at $10.50, while our model-based Fair Value estimate is $17.01 — implying the stock looks roughly 62.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Barco NV, together with its subsidiaries, develops visualization solutions, and collaboration and networking technologies for the entertainment, enterprise, and healthcare markets in the Americas, Europe, the Middle East, Africa, and the Asia-Pacific. It operates through three divisions: Entertainment, Enterprise, and Healthcare. The company offers medical displays, including radiology, breast imaging, remote reading, digital pathology, surgery, modality, dentistry, and ophthalmoloc solutions. It also provides dental, breast imaging, surgical, clinical review, digital pathology, and all-in-one displays, as well as healthcare software and custom medical solutions; medical display controllers; digital operating room solutions, such as medical device management and surgical collaboration; rear-projection, LED, and LCD video walls, as well as video wall controllers; room, and wireless conferencing and presentation systems, and video bars for wireless collaboration. It also offers projec…
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.