electroCore, Inc (ECOR) Fair Value & Analysis
Healthcare · US · Market cap $69.9M
Fair value as of: Jun 23, 2026
Analysis
electroCore, Inc (ECOR) currently trades at $8.12, while our model-based Fair Value estimate is $13.51 — implying the stock looks roughly 66.4% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
electroCore, Inc., a bioelectronic technology medicine and general wellness company, provides non-invasive vagus nerve stimulation (nVNS) technology platform in the United States, the United Kingdom, and internationally. The company develops gammaCore, a prescription only handheld device intended for regular or intermittent use for the acute treatment of pain associated with migraine and episodic cluster headache, as well as for the treatment of hemicrania continua and paroxysmal hemicrania. It also develops Truvaga 350, a personal use consumer electronics general wellness product and Truvaga Plus, an app-enabled general wellness product. It also offers non-invasive bioelectronic therapies for the treatment of chronic pain and wellness conditions. In addition, the company offers TAC-STIM for human performance and gammaCore Sapphire, a portable, reusable, rechargeable, and reloadable prescription medical device for various primary headache conditions. electroCore, Inc. was incorporat…
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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.