North American DataCom, Inc (NADA) Fair Value & Analysis
Technology · US · Market cap $10.4K
Fair value as of: Jun 26, 2026
From 6 valuation models · updated 7 days ago
Fair value updated Jun 26, 2026 — revised from $0.3600 to $0.0001 (−100.0%) since Jun 24, 2026.
Price vs Fair Value (12 months)
12‑month range $0.0001 – $0.0001 · the $0.0001 price screens below the $0.0001 fair value. As of Jun 26, 2026.
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North American DataCom, Inc (NADA) currently trades at $0.0001, while our model-based Fair Value estimate is $0.0001 — implying the stock looks roughly 0.0% undervalued today. We read business quality at 16/100 (below-average quality), in the 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: low) — always confirm before acting.
Trailing-twelve-month revenue stands at $464K. Revenue declined 49.5% year over year. Fundamentals as of Jun 26, 2026
Key figures & financial health
Figures from reported company fundamentals (EODHD) · as of Jun 26, 2026. TTM = trailing twelve months.
About the company
North American DataCom, Inc. provides various data storage, broadband network, and infrastructure services for telecommunications companies, Internet service providers, application service providers, B2B/B2C e-Business providers, and data-centric enterprises. The company offers data storage, data back up and restoration, data mirroring, and Web design and hosting services, as well as co-location facilities, virtual private networks, and dedicated servers. It also provides dial-up and dedicated Internet access, as well as wireless paging services. The company was founded in 1998 and is based in Iuka, Mississippi.
Revenue & earnings trend
FY1999 – FY2001 · reported fiscal years
North American DataCom, Inc reported revenue of $475K in FY2001 versus $23.4K in FY1999, a compound +350.3%/yr. Reported net income was −$3.6M in FY2001.
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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.