ARway Corporation (ARWYF) Fair Value & Analysis
Technology · US · Market cap $1.4M
Fair value as of: Jun 23, 2026
Analysis
ARway Corporation (ARWYF) currently trades at $0.0464, while our model-based Fair Value estimate is $0.0400 — implying the stock looks roughly 13.8% 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: medium).
About the company
ARway Corporation engages in developing and operating of intellectual property applications in Canada. The company offers ARway, a mobile app no code Metaverse creation tool with self-generating AR mapping solutions for consumers and brands. It also provides ARwayKit SDK, which offers resources to build new apps; ARway creator portal, a suite of tools for floorplan configuration, AR navigation creation, and detailed analytics; and smart glasses operated using artificial intelligence. Its products are used in various industries, including stadiums and concert venues, events and tradeshows, retail, museums and galleries, hospitality, real estate, universities, hospitals, and other sectors. ARway Corporation was incorporated in 2022 and is headquartered in Toronto, Canada.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is ARway Corporation (ARWYF) undervalued?
What is the fair value of ARWYF?
What is the quality score of ARWYF?
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.