Grand Canyon Education, Inc (LOPE) Fair Value & Analysis
Consumer Defensive · US · Market cap $4.0B
Analysis
Grand Canyon Education, Inc (LOPE) currently trades at $143.16, while our model-based Fair Value estimate is $152.01 — implying the stock looks roughly 6.2% 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
Grand Canyon Education, Inc. operates as an education services company in the United States. The company provides technology services, including learning management system, internal administration, infrastructure, and support services; and academic services, such as program and curriculum, faculty and related training and development, class scheduling, and skills and simulation lab sites. It also offers counseling services and support, which includes admission services, financial aid, counseling services, and field experience counseling; marketing and communication services, including lead acquisition, digital communications strategy, brand identity, media planning and strategy, video, business intelligence, analytics, and data science, and market research and insights; and back-office services, such as finance and accounting, human resources, audit, and procurement services. In addition, it provides education services to 20 university partners. Grand Canyon Education, Inc. was form…
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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.