American Public Education, Inc (APEI) Fair Value & Analysis
Consumer Defensive · US · Market cap $959M
Fair value as of: Jun 24, 2026
Analysis
American Public Education, Inc (APEI) currently trades at $51.79, while our model-based Fair Value estimate is $38.91 — implying the stock looks roughly 24.9% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: high).
About the company
American Public Education, Inc., together with its subsidiaries, provides online and campus-based postsecondary education services in the United States. It operates through three segments: American Public University System, Rasmussen University, and Hondros College of Nursing. The company offers 181 degree programs, 110 certificate programs, and four diploma programs in various fields of study, including public service-focused fields, such as nursing, national security, military studies, intelligence, and homeland security, as well as traditional academic fields comprising business, health science, information technology, justice studies, education, and liberal arts; and career learning and leadership training in-person and online to the federal workforce. It also provides nursing-and health sciences-focused postsecondary education; and pre-licensure nursing education services focusing on a diploma in practical nursing and associate degree in nursing, as well as a bachelor of scienc…
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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.