Wishpond Technologies Ltd (WPNDF) Fair Value & Analysis
Technology · US · Market cap $7.1M
Fair value as of: Jun 26, 2026
Analysis
Wishpond Technologies Ltd (WPNDF) currently trades at $0.1289, while our model-based Fair Value estimate is $0.0600 — implying the stock looks roughly 53.5% overvalued today. We read business quality at 95/100 (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: low).
About the company
Wishpond Technologies Ltd. provides marketing-focused online business solutions for small-to-medium-sized businesses across various industries in the United States, Canada, and internationally. The company provides Propel IQ platform offers a marketing suite that provides companies with social promotions, landing pages, marketing funnels, appointments, website builder, email marketing, marketing automation, lead database, sales automation, popups, payments, forms, and shopify marketing, newsletter templates, and YouTube contests. It also offers marketing team, ads, SEO, graphic design, email API, and outbound sales services. In addition, the company provides guides including lead generation strategies, email drip campaigns, landing page strategies, ecommerce online marketing, small business marketing, marketing for dental businesses, and marketing for fitness centers. It serves small-to-medium sized businesses in various industries, such as ecommerce, hotels, non-profits, B2Bs, rest…
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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.