urban-gro, Inc (UGRO) Fair Value & Analysis
Communication Services · US · Market cap $4.9M
Fair value as of: Jun 25, 2026
Analysis
urban-gro, Inc (UGRO) currently trades at $2.85, while our model-based Fair Value estimate is $3.03 — implying the stock looks roughly 6.4% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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: medium) — always confirm before acting.
About the company
urban-gro, Inc. operates as a diversified sports, media, and experiential marketing platform that focuses on the creation, production, and monetization of live events, original content, and branded fan experiences. The company engages in the production, commercialization, and management of professional cricket leagues and international cricket events. It also holds exclusive commercial and media rights to professional cricket leagues; and produces international-standard broadcast content. In addition, the company manages franchise operations; and monetizes sponsorship, ticketing, and digital media opportunities. Further, it provides equipment systems, including commercial horticulture lighting solutions, rolling and automated container benching systems, specialty fans, fertigation/irrigation systems, environmental control systems, and microbial mitigation and odor reduction systems. Additionally, the company operates as a general contractor to provide all the additional necessary pa…
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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.