TSS, Inc (TSSI) Fair Value & Analysis
Technology · US · Market cap $337M
Fair value as of: Jun 25, 2026
Analysis
TSS, Inc (TSSI) currently trades at $12.00, while our model-based Fair Value estimate is $8.38 — implying the stock looks roughly 30.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
TSS, Inc. engages in the planning, design, deployment, maintenance, and refresh of end-user and enterprise systems in the United States. The company operates through three segments: Procurement, Facilities Management, and Systems Integration. The company offers IT equipment deployment services, including client products, enterprise products, clusters, and modular containers; and second-touch configuration services for OEM and end-user customers, such as adding software, hardware, or other features to end-user devices, bundling such devices with peripherals, pre-loading customer-determined application software, tagging, asset capture, and other fulfillment services. It also provides consulting, deployment, and maintenance and management services. In addition, the company is involved in procuring third-party hardware and software, as well as provides professional services. The company serves IT OEM equipment, technology, and service companies; private sector businesses; and government…
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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.