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CIBL, Inc (CIBY) Fair Value & Analysis

Industrials · US · Market cap $18.5M

Price$1,695
Fair Value$412.23
Upside-75.7%
Quality95/100
Evidence: High Range $309.18 – $515.29

Fair value as of: Jun 26, 2026

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Analysis

CIBL, Inc (CIBY) currently trades at $1,695, while our model-based Fair Value estimate is $412.23 — implying the stock looks roughly 75.7% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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

CIBL, Inc. engages in broadband and telecommunications operations in the United States. It offers two gigabit high-speed broadband and advanced communications services primarily in northern New Hampshire; broadband, data transport, digital voice service, and Internet; communication and data networking services, and fiber and copper wiring solutions; and administration services and other business process services to the telecommunications industry. The company was incorporated in 2007 and is headquartered in Reno, Nevada.

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Frequently asked questions

Is CIBL, Inc (CIBY) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $412.23 versus a price of $1,695 — about −76% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CIBY?
Our 21-model fair value for CIBL, Inc is $412.23 (as of Jun 26, 2026), built from audited fundamentals. The current price is $1,695.
What is the quality score of CIBY?
CIBL, 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.