Frontier Services Group (DVNHF) Fair Value & Analysis
Industrials · US · Market cap $22.2M
Fair value as of: Jun 26, 2026
Analysis
Frontier Services Group (DVNHF) currently trades at $0.0093, while our model-based Fair Value estimate is $0.0093 — implying the stock looks roughly 0.2% overvalued today. We read business quality at 80/100 (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: low).
About the company
Frontier Services Group Limited, together with its subsidiaries, provides security, insurance, aviation, logistics, and infrastructure-related services in China, Hong Kong, Kenya, Nigeria, Laos, the Democratic Republic of the Congo, and internationally. The company offers protective services, including threat and risk assessments, executive/close protection, safety implementation, strategy and policy development, and physical and technical, IT, and aviation security, as well as specialized training services; and finance, liability, property, and personnel insurance programs, as well as special insurance solutions, such as medical and emergency evacuation, repatriation, kidnap and ransom response, and crisis management. It also provides aviation services; engineering project logistics services and transportation of valuables; and infrastructure solutions comprising project planning, business consulting, investment and financing, engineering design, project implementation and operatio…
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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.