Stran & Company (SWAG) Fair Value & Analysis
Communication Services · US · Market cap $42.2M
Fair value as of: Jun 25, 2026
Analysis
Stran & Company (SWAG) currently trades at $2.22, while our model-based Fair Value estimate is $1.05 — implying the stock looks roughly 52.7% 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
Stran & Company, Inc. provides outsourced marketing solutions in the United States, Canada, and Europe. It operates through Stran & Company, Inc. (Stran) and Stran Loyalty Solutions, LLC (SLS) segments. The company offers custom sourcing solutions; e-commerce solutions; creative and merchandising services; warehousing/fulfillment and distribution; print-on-demand; kitting; and point of sale displays. It also provides corporate promotional marketing programs for clients across various industry verticals; loyalty and incentive programs; and commercial and digital printing solutions. In addition, the company offers Magento Open Source, a custom-developed e-commerce platform that includes management of marketing programs and links branded merchandise, print, event assets, customer relationship management, loyalty, and incentives. It serves the pharmaceutical and healthcare, manufacturing, gaming, technology, finance, construction, and consumer goods industries. The company was founded i…
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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.