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UBERDOC Health Technologies Corp (ESVNF) Fair Value & Analysis

Healthcare · US · Market cap $267K

Price$0.0410
Fair Value$0.1144
Upside+179.0%
Quality95/100
Evidence: Low Range $0.0816 – $0.1349

Fair value as of: Jun 26, 2026

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Analysis

UBERDOC Health Technologies Corp (ESVNF) currently trades at $0.0410, while our model-based Fair Value estimate is $0.1144 — implying the stock looks roughly 179.0% 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

UBERDOC Health Technologies Corp. operates a digital healthcare platform in global markets. It offers services that connect patients directly with medical specialists for in-person or virtual consultations, featuring transparent pricing and online booking without the need for insurance or referrals. The company provides access to specialties, such as Cardiology, Dermatology, Orthopedics, and Mental Health, and serves individual patients as well as employers seeking employee health benefits. The company is based in Vancouver, Canada.

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Frequently asked questions

Is UBERDOC Health Technologies Corp (ESVNF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.1144 versus a price of $0.0410 — about +179% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ESVNF?
Our 21-model fair value for UBERDOC Health Technologies Corp is $0.1144 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0410.
What is the quality score of ESVNF?
UBERDOC Health Technologies Corp has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.