Claranova SE (CRNVF) Fair Value & Analysis
Technology · US · Market cap $54.2M
Fair value as of: Jun 25, 2026
Analysis
Claranova SE (CRNVF) currently trades at $0.9500, while our model-based Fair Value estimate is $5.67 — implying the stock looks roughly 496.8% undervalued today. We read business quality at 86/100 (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: low) — always confirm before acting.
About the company
Claranova SE, a technology company, engages in personalized e-commerce, software publishing, and Internet of Things (IoT) management in France, the United States, the United Kingdom, Germany, other European countries, and internationally. The company operates PlanetArt, which offers web and mobile online platforms for creating and selling personalized products, such as photos, photo albums, phone cases, frames, cards, and paper prints. Its platforms include FreePrints, a line of mobile applications, and websites such as Personal Creations, SimplytoImpress, CafePress, Gifts.com, and I See Me!. The company also provides a software portfolio, which consists of SodaPDF, a PDF solution; Adaware, a security solution that includes antivirus, ad blocker, cleaning, and optimization tools; and InPixio, a photography solution that includes retouching software and photographic products. In addition, it offers a sensor enablement platform that provides IoT plug-and-play sensors for the inventory…
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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.