Rand Worldwide, Inc (RWWI) Fair Value & Analysis
Technology · US · Market cap $487M
Analysis
Rand Worldwide, Inc (RWWI) currently trades at $14.49, while our model-based Fair Value estimate is $24.62 — implying the stock looks roughly 69.9% 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
Rand Worldwide, Inc. provides design automation and data management solutions primarily in the United States and Canada. It operates in five divisions: IMAGINiT Technologies, Rand Simulation, Facilities Management, ASCENT, and Rand 3D. The IMAGINiT Technologies division resells Autodesk solutions and system integration, and consulting services to customers in the manufacturing, infrastructure, building, and media and entertainment industries; resells Twinmotion visualization software, which provides design professionals to transform architectural models and designs into photorealistic images and immersive videos; offers a range of 3D laser scanning equipment and related software to help architectural, engineering, and construction firms; and sells its own proprietary software products and related services. The Rand Simulation division offers Ansys engineering simulation software to help organizations incorporate engineering simulation technology into the product development process;…
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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.