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Local Bounti Corporation (LOCL) Fair Value & Analysis

Consumer Defensive · US · Market cap $29.4M

Price$1.27
Fair Value$3.39
Upside+166.9%
Quality95/100
Evidence: Low Range $2.55 – $4.24

Fair value as of: Jun 23, 2026

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Analysis

Local Bounti Corporation (LOCL) currently trades at $1.27, while our model-based Fair Value estimate is $3.39 — implying the stock looks roughly 166.9% 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: low) — always confirm before acting.

About the company

Local Bounti Corporation produces and sells fresh greens in the United States. The company offers lettuce, arugula, herbs, berries, and loose-leaf lettuce. It sells its products to food retailers and food service distributors. The company was founded in 2018 and is headquartered in Hamilton, Montana.

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Frequently asked questions

Is Local Bounti Corporation (LOCL) undervalued?
As of Jun 23, 2026, our model estimates a fair value of $3.39 versus a price of $1.27 — about +167% (undervalued). Model-based estimate, not financial advice.
What is the fair value of LOCL?
Our 21-model fair value for Local Bounti Corporation is $3.39 (as of Jun 23, 2026), built from audited fundamentals. The current price is $1.27.
What is the quality score of LOCL?
Local Bounti Corporation has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.