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Giftify, Inc (GIFT) Fair Value & Analysis

Communication Services · US · Market cap $30.4M

Price$0.8729
Fair Value$0.4400
Upside-49.6%
Quality95/100
Evidence: Low Range $0.3300 – $0.6500

Fair value as of: Jun 25, 2026

Analysis

Giftify, Inc (GIFT) currently trades at $0.8729, while our model-based Fair Value estimate is $0.4400 — implying the stock looks roughly 49.6% 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: low).

About the company

Giftify, Inc. owns and operates a restaurant deal space in the United States. The company operates Restaurant.com that connects digital consumers, businesses, and communities with dining and merchant deals. It also sells discount certificates for restaurants on behalf of third-party restaurants, as well as complementary entertainment and travel offerings, and consumer products. In addition, the company operates CardCash, a gift card exchange platform that facilitates the purchase and sale of unused gift cards at discounted rates for consumers and businesses. The company was founded in 1999 and is based in Schaumburg, Illinois.

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Frequently asked questions

Is Giftify, Inc (GIFT) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $0.4400 versus a price of $0.8729 — about −50% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GIFT?
Our 21-model fair value for Giftify, Inc is $0.4400 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.8729.
What is the quality score of GIFT?
Giftify, 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.