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Leafbuyer Technologies, Inc (LBUY) Fair Value & Analysis

Communication Services · US · Market cap $20.0M

Price$0.3600
Fair Value$0.0400
Upside-88.9%
Quality95/100
Evidence: High Range $0.0300 – $0.0600

Fair value as of: Jun 24, 2026

Analysis

Leafbuyer Technologies, Inc (LBUY) currently trades at $0.3600, while our model-based Fair Value estimate is $0.0400 — implying the stock looks roughly 88.9% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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

Leafbuyer Technologies, Inc. offers online resources for cannabis deals and specials in the United States. It serves medical and recreational dispensaries, as well as cannabis products companies. The company is based in Greenwood Village, Colorado.

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Frequently asked questions

Is Leafbuyer Technologies, Inc (LBUY) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.0400 versus a price of $0.3600 — about −89% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LBUY?
Our 21-model fair value for Leafbuyer Technologies, Inc is $0.0400 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.3600.
What is the quality score of LBUY?
Leafbuyer Technologies, Inc 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.