Covista Inc (CVSA) Fair Value & Analysis
Consumer Defensive · US · Market cap $4.3B
Analysis
Covista Inc (CVSA) currently trades at $120.73, while our model-based Fair Value estimate is $138.62 — implying the stock looks roughly 14.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: high) — always confirm before acting.
About the company
Covista Inc., together with its subsidiaries, provides healthcare education in the United States, Barbados, St. Kitts, and St. Maarten. It operates in three segments: Chamberlain, Walden, and Medical and Veterinary. The company offers degree and non-degree programs, including bachelor's, master's, and doctoral degrees; and online certificate programs for nursing, health professions, medical, and veterinary postsecondary education, counseling, business, information technology, psychology, public health, social work and human services, public administration and public policy, and criminal justice. It also operates Chamberlain University, Walden University, American University of the Caribbean School of Medicine, Ross University School of Medicine, and Ross University School of Veterinary Medicine. The company was formerly known as Adtalem Global Education Inc. and changed its name to Covista Inc. in February 2026. Covista Inc. was incorporated in 1987 and is headquartered in Chicago, …
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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.