Fairvalue-Calculator Fairvalue-Calculator

d'Amico International Shipping S.A (DMCOF) Fair Value & Analysis

Industrials · US · Market cap $1.3B

Price$10.69
Fair Value$11.14
Upside+4.2%
Quality95/100
Evidence: High Range $8.20 – $13.95

Analysis

d'Amico International Shipping S.A (DMCOF) currently trades at $10.69, while our model-based Fair Value estimate is $11.14 — implying the stock looks roughly 4.2% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.

About the company

d'Amico International Shipping S.A., through its subsidiaries, operates as a marine transportation company worldwide. It transports refined petroleum products and vegetable oils through double-hulled vessels. The company serves oil companies and trading houses. It operates a fleet of 27 owned vessels and 2 bareboat chartered-in vessels. The company was founded in 1936 and is based in Luxembourg, Luxembourg. d'Amico International Shipping S.A. is a subsidiary of d'Amico International S.A.

Open the full interactive analysis →

Similar stocks

Adani Ports and Special Economic Zone Limited (ADANIPORTS) -65% A.P. Møller - Mærsk A/S, (AMKBY) +16% COSCO SHIPPING Holdings (601919) +155% International Container Terminal Services, Inc (ICTEF) -35% Hapag-Lloyd Aktiengesellschaft, (HLAGF) -2% Shanghai International Port (Group) Co (600018) -26%

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.