Elvictor Group (ELVG) Fair Value & Analysis
Industrials · US · Market cap $5.2M
Fair value as of: Jun 24, 2026
Analysis
Elvictor Group (ELVG) currently trades at $6.30, while our model-based Fair Value estimate is $1.94 — implying the stock looks roughly 69.2% 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: medium).
About the company
Elvictor Group, Inc. provides crew management services to vessels worldwide. The company offers crewing and crew management services, such as sourcing, recruitment, selection, deployment, scheduling, training, and on-going management of seafarers; and administrative functions related to crew management services, including payroll services, travel arrangements, and verifying the insurance coverage information of onboarded seafarers. It also provides ship management services comprising maintenance of the machinery and repair work of the ship; finance, accounting, and data and performance measurement of the vessel; spare parts, supplies, and services to keep the vessel ready to sail; and arrangement of compliance with regulations and quality standards, health, safety and environment standards, and insurance and claims handling services. The company was formerly known as Thenablers, Inc. and changed its name to Elvictor Group, Inc. in December 2019. Elvictor Group, Inc. was founded in 1…
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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.