Sensus Healthcare, Inc (SRTS) Fair Value & Analysis
Healthcare · US · Market cap $44.9M
Fair value as of: Jun 24, 2026
Analysis
Sensus Healthcare, Inc (SRTS) currently trades at $2.74, while our model-based Fair Value estimate is $2.49 — implying the stock looks roughly 9.1% overvalued today. We read business quality at 95/100 (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
Sensus Healthcare, Inc. operates as a medical device company that manufactures and sells radiation therapy devices to healthcare providers worldwide. The company uses superficial radiation therapy, a low-energy X-ray technology in its portfolio of treatment devices. It offers SRT-100, a photon X-ray low energy superficial radiotherapy system that provides patients an alternative to surgery for treating non-melanoma skin cancers, including basal cell and squamous cell skin cancers, as well as other skin conditions, such as keloids; and SRT-100 Vision, which provides the user with a superficial radiation therapy-tailored treatment planning application that integrates an embedded high frequency ultrasound imaging module, volumetric tumor analysis, beam margins planning, and dosimetry parameters. The company also provides SRT-100 +; Sentinel service program, which offers its customers protection for their systems; and Transdermal Infusion system, a biophysical alternative to infuse high…
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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.