Data Storage Corporation (DTSTW) Fair Value & Analysis

Information Technology · US · Market cap $24.5M

Price$0.0771

Fair Value$0.0796

Upside+3.3%

Quality94/100

Evidence: Medium Range $0.0629 – $0.1052

Fair value as of: Jun 26, 2026

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Analysis

Data Storage Corporation (DTSTW) currently trades at $0.0771, while our model-based Fair Value estimate is $0.0796 — implying the stock looks roughly 3.3% undervalued today. We read business quality at 94/100 (high quality), in the Information Technology 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: medium) — always confirm before acting.

About the company

Data Storage Corporation provides cloud-based voice over internet services, data transport, internet access, and SD-WAN solutions in the United States and internationally. The company offers integrated technology services to the healthcare, professional services, financial services, manufacturing, and distributed enterprise sectors. Data Storage Corporation was founded in 2001 and is headquartered in Melville, New York.

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Frequently asked questions

Is Data Storage Corporation (DTSTW) undervalued?

As of Jun 26, 2026, our model estimates a fair value of $0.0796 versus a price of $0.0771 — about +3% (undervalued). Model-based estimate, not financial advice.

What is the fair value of DTSTW?

Our 21-model fair value for Data Storage Corporation is $0.0796 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0771.

What is the quality score of DTSTW?

Data Storage Corporation has a Quality Score of 94/100, 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.