Fobi AI Inc (FOBI) Fair Value & Analysis
Technology · CA · Market cap C$9.8M
Fair value as of: Jun 23, 2026
From 3 valuation models · updated 7 days ago
Price vs Fair Value (12 months)
12‑month range C$0.0400 – C$0.0400 · the C$0.0400 price screens above the C$0.0100 fair value. As of Jun 23, 2026.
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Fobi AI Inc (FOBI) currently trades at C$0.0400, while our model-based Fair Value estimate is C$0.0100 — implying the stock looks roughly 75.0% 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).
Trailing-twelve-month revenue stands at C$723K. Revenue grew 164.2% year over year. Fundamentals as of Jun 23, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jun 23, 2026. TTM = trailing twelve months.
About the company
Fobi AI Inc., together with its subsidiaries, operates as a data intelligence technology company that delivers contactless solutions and data intelligence for sports and entertainment, telecom, financial services, hospitality, and retail industries in North America and Europe. It offers embedded engagement mobile wallet pass; platform-as-a-service; consulting services and development services; data-driven insights portal delivers real-time analytics and insights for customers; and engages in the resale, referring, licensing, and hosting of its technology to users. The company also sells software as a service. Fobi AI Inc. was formerly known as Loop Insights Inc. The company was founded in 2017 and is based in Vancouver, Canada.
Revenue & earnings trend
FY2020 – FY2025 · reported fiscal years
Fobi AI Inc reported revenue of C$508K in FY2025 versus C$158K in FY2021, a compound +34.0%/yr. Reported net income was −C$1.1M in FY2025.
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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.