Psychemedics Corporation (PMDI) Fair Value & Analysis
Healthcare · US · Market cap $13.4M
Fair value as of: Jun 24, 2026
Analysis
Psychemedics Corporation (PMDI) currently trades at $2.20, while our model-based Fair Value estimate is $1.97 — implying the stock looks roughly 10.5% overvalued today. We read business quality at 92/100 (high quality), in the Healthcare 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
Psychemedics Corporation, together with its subsidiaries, engages in the provision of testing services for the detection of drugs of abuse and other health markers through the analysis of hair samples in the United States and internationally. The company provides screening and confirmation by mass spectrometry using industry-accepted practices for cocaine, marijuana, and PCP; amphetamines, including ecstasy, eve, and Adderall; opioids, such as heroin metabolite, morphine, hydrocodone, hydromorphone, oxycodone, oxymorphone, and codeine; synthetic cannabinoids comprising aka K2, Spice, and Blaze; benzodiazepines consisting of Xanax, Valium, and Ativan; and nicotine, fentanyl and fentanyl analogs, and alcohol. Its testing results provide quantitative information that could indicate the approximate amount of drug ingested, as well as historical data that could show a pattern of individual drug use over a longer period-of-time. The company offers its services to employers for job applica…
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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.