National American University Holdings (NAUH) Fair Value & Analysis
Consumer Defensive · US · Market cap $1.2M
Fair value as of: Jun 26, 2026
Analysis
National American University Holdings (NAUH) currently trades at $0.0500, while our model-based Fair Value estimate is $0.0650 — implying the stock looks roughly 30.0% 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
National American University Holdings, Inc., through its subsidiary, owns and operates National American University (NAU) that provides professional and technical postsecondary education primarily designed for working adults and other non-traditional students in the United States. The company offers certificate, diploma, associate, baccalaureate, master's, and doctoral degree programs in business-related disciplines, such as accounting, management, business administration, and information technology; healthcare-related disciplines, including healthcare management; legal-related disciplines comprising paralegal, criminal justice, and professional legal studies; and higher education through online degree programs. The company also rents apartment units; and develops and sells condominium units. The company was founded in 1941 and is headquartered in Rapid City, South Dakota.
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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.