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Datacentrex, Inc (DTCX) Fair Value & Analysis

Financial Services · US · Market cap $79.3M

Price$2.21
Fair Value$1.11
Upside-49.8%
Quality95/100
Evidence: Low Range $0.7300 – $1.39

Fair value as of: Jun 25, 2026

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Analysis

Datacentrex, Inc (DTCX) currently trades at $2.21, while our model-based Fair Value estimate is $1.11 — implying the stock looks roughly 49.8% overvalued today. We read business quality at 95/100 (high quality), in the Financial 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

Datacentrex, Inc. is a digital infrastructure and capital deployment company that owns and operates Scrypt-based proof-of-work compute infrastructure assets and evaluates strategic transactions across asset-backed operating businesses in the United States. The company owns and manages a fleet of specialized application-specific integrated circuit (ASIC) hardware. The company was formerly known as Thumzup Media Corporation and changed its name to Datacentrex, Inc. in December 2025. Datacentrex, Inc. is headquartered in Salt Lake City, Utah.

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Frequently asked questions

Is Datacentrex, Inc (DTCX) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $1.11 versus a price of $2.21 — about −50% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DTCX?
Our 21-model fair value for Datacentrex, Inc is $1.11 (as of Jun 25, 2026), built from audited fundamentals. The current price is $2.21.
What is the quality score of DTCX?
Datacentrex, 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.