Exagen Inc (XGN) Fair Value & Analysis
Healthcare · US · Market cap $109M
Fair value as of: Jun 25, 2026
Analysis
Exagen Inc (XGN) currently trades at $4.64, while our model-based Fair Value estimate is $3.75 — implying the stock looks roughly 19.2% 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: low).
About the company
Exagen Inc. designs, develops, and commercializes various testing products under the AVISE brand in the United States. The company enables healthcare providers to care for patients through the diagnosis, prognosis, and monitoring of complex rheumatic, and autoimmune and autoimmune-related diseases, including systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). The company's lead testing product is AVISE CTD that enables differential diagnosis for patients presenting with symptoms indicative of various connective tissue diseases (CTDs) and other related diseases with overlapping symptoms. The company offers AVISE Lupus platform, a cornerstone of the SLE assessment that begins by quantifying the level of CB-CAPs biomarkers (EC4d and BC4d) in the patient's blood; and AVISE APS that aids in the diagnosis and management of APS. In addition, it provides AVISE Vasculitis AAV, which utilizes a testing panel of individual analytes to provide physicians with results in the assess…
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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.