Viridien Société anonyme (VIRDY) Fair Value & Analysis
Energy · US · Market cap $1.0B
Analysis
Viridien Société anonyme (VIRDY) currently trades at $95.38, while our model-based Fair Value estimate is $168.54 — implying the stock looks roughly 76.7% undervalued today. We read business quality at 93/100 (high quality), in the Energy 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
Viridien Société anonyme provides earth science, data science, sensing, and monitoring data, products, services, and solutions in North America, Latin America, the Central and South Americas, Europe, Africa, the Middle East, and the Asia Pacific. It operates through two segments, Data, Digital & Energy Transition (DDE); and Sensing & Monitoring (SMO). The DDE segment engages in the geoscience business, which includes the processing and imaging of geophysical data, reservoir characterization, geophysical consulting and software services, geological data library, and data management solutions; earth data business, which comprises the development and management of a seismic and geological data library; and the development, licensing, marketing, and sale of seismic data processing software under the Geovation brand. This segment also offers geoscience and petroleum engineering consulting services. Its SMO segment engages in the design, engineering, and manufacturing of seismic equipment…
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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.