Gladstone Land Corporation (LAND) Fair Value & Analysis
Real Estate · US · Market cap $374M
Analysis
Gladstone Land Corporation (LAND) currently trades at $8.60, while our model-based Fair Value estimate is $5.33 — implying the stock looks roughly 38.0% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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
Gladstone Land Corporation is a publicly traded real estate investment trust that acquires and owns farmland and farm-related properties located in major agricultural markets in the U.S. The Company currently owns 150 farms, comprised of approximately 103,000 acres in 15 different states and over 55,000 acre-feet of water assets in California. Gladstone Land farms are predominantly located in regions where its tenants can grow fresh produce annual row crops, such as berries and vegetables, which are generally planted and harvested annually. The Company also owns farms growing permanent crops, such as almonds, blueberries, figs, olives, pistachios, and wine grapes, which are generally planted every 20-plus year and harvested annually. Over 30% of its fresh produce acreage is either organic or in transition to become organic, and nearly 20% of its permanent crop acreage falls into this category. Gladstone Land pays monthly distributions to its stockholders and has paid 150 consecutive…
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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.