NameSilo Technologies Corp (URLOF) Fair Value & Analysis
Technology · US · Market cap $90.1M
Fair value as of: Jun 25, 2026
Analysis
NameSilo Technologies Corp (URLOF) currently trades at $1.00, while our model-based Fair Value estimate is $0.1500 — implying the stock looks roughly 85.0% overvalued today. We read business quality at 93/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
NameSilo Technologies Corp., through its subsidiaries, provides domain name registration services in the United States, East and South Asia, South East Asia, Australasia, and internationally. It also provides marketplace services for buying and selling domain names; domain parking, e-registration of an internet domain name without that domain being associated with any services, such as e-mail or a website; and shared website hosting and email accounts services. In addition, the company offers digital services products comprising Secure Socket Layer (SSL) which ensure customers have a secure website; Logo Maker, a free logo maker product; New Domain Search, a domain search to find the right domain with the right extension; NameSilo Blog, a blog that offers articles about privacy and security, domain names and website hosting, and online marketing tips; NameLot Brokerage Service, a beta brokerage to service its domainers needs; SEO Strategy working, a search engine optimization tools …
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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.