Destiny Media Technologies Inc (DSNY) Fair Value & Analysis
Technology · US · Market cap $6.0M
Fair value as of: Jun 24, 2026
Analysis
Destiny Media Technologies Inc (DSNY) currently trades at $0.6230, while our model-based Fair Value estimate is $0.8800 — implying the stock looks roughly 41.3% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Destiny Media Technologies Inc. develops technologies that enable the distribution of digital media files in a streaming or digital download format over the Internet. The company offers Play MPE, an online platform that distributes music for promotional purposes, including broadcast quality audio, video, images, promotional information, metadata, and other digital content from record labels and artists to broadcasting professionals, music curators, and music reviewers to discover, download, broadcast, and review the content; Play MPE CASTER; and Play MPE Player for music curators to review and download content through cloud-based player and mobile apps. It also provides Music Tracking Radar (MTR), an early-stage technology operating within the radio tracking industry. The company markets and sells its products in the United States, Canada, Europe, Asia, South America, Africa, and Australia. Destiny Media Technologies Inc. was founded in 1991 and is based in Vancouver, Canada.
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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.