E Automotive Inc (EICCF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $664K
Fair value as of: Jun 26, 2026
Analysis
E Automotive Inc (EICCF) currently trades at $0.0111, while our model-based Fair Value estimate is $0.0108 — implying the stock looks roughly 2.5% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
E Automotive Inc. provides a wholesale auction marketplace in Canada and the United States. It operates its digital wholesale marketplace platform, which provides dealers with access to its digital marketplace that includes online wholesale vehicle auctions where buyers connect with sellers; and enables dealers to track vehicle inventory and make inventory available in their digital showroom, on their website, and through other third-party consumer-facing online properties, as well as assists dealers with lead management and other consumer-facing activity that helps facilitate the sale of used vehicles under the EBlock and EDealer brands. The company also operates cars.ca platform to provide users with car-buying experience with a user interface and market data to make the purchase decisions. In addition, it develops, markets, and distributes digital retailing software for the automotive industry, as well as provides digital advertisement and other ancillary services. The company wa…
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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.