TROC DE L'ILE SA (MLTRO) Fair Value & Analysis
Consumer Cyclical · FR · Market cap €1.7M
Fair value as of: Jun 25, 2026
Analysis
TROC DE L'ILE SA (MLTRO) currently trades at €2.48, while our model-based Fair Value estimate is €2.33 — implying the stock looks roughly 6.1% overvalued today. We read business quality at 89/100 (high quality), in the Consumer Cyclical 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
TROC DE L'ILE SA sells second-hand articles through its troc.com Website. The company offers furnishings for bedrooms, dining rooms, trade shows, offices, kitchen, bathrooms, side furniture and storage, garden, and office furniture; and decorative items, which include table ware, collections, watch making, paintings, sculptures, trinkets, glass mirrors, and other decorations, as well as costume jewelry, accessories, carpet, and lighting fixtures. It also provides electrical goods, including large and small household appliances, heating products, and air conditioning units; Hi-fi systems and components, portable audio, speakers, and Hi-fi and sound accessories; car audio and electronic accessories; televisions, DVD players, antennas and reception, camcorders, projectors, accessories and cables, and home cinema; digital photo, analog photography, and photo accessories; and binoculars and glasses. In addition, the company offers leisure products, such as weight training products, cycle…
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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.