PT Imago Mulia Persada Tbk (LFLO) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 660B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Imago Mulia Persada Tbk (LFLO) currently trades at 615.00 IDR, while our model-based Fair Value estimate is 300.11 IDR — implying the stock looks roughly 51.2% overvalued today. We read business quality at 95/100 (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: high).
About the company
PT Imago Mulia Persada Tbk engages in the retail trade of furniture, equipment, and other home supplies in Indonesia. The company offers kitchens, wardrobes, loose furniture collections, architectural lighting, decorative lighting, and tailored office solutions. It also operates showrooms. The company sells furniture under the B&B Italia, Maxalto, Azucena, Flos, Louis Poulsen, 4Mariani, Astep, Astro, BellaVista, Brokis, Classicon, Davide Groppi, DCW Editions, Decastelli, Driade, Edra, Estiluz, Flou, Fortana Arte, Foscarini, Frigerio, Gabriel & Scott, Giopato & Coombes, Glas Italia, Wiener GTV Design, Humanscale, Ingo Maurer, Italamp, Juniper, KDLN, Kettal, Knoli, Linteloo, Luceplan, Magis, Marset, Man Of Parts, Ochre, Paolo Castelli, Potocco, Punt, Rakumba, RBW, Ross Gardam, Santa & Cole, Treku, Tucci, Ulvi, Valcucine, Van Rossum, Vittoria Frigerio, Watson & Gabb, Zieta, Arclinea, Ralph Lauren, Bell, Camerich, Grado, HC28 Maison, Lily Koo, Muse, Mycl, and Yamagiwa brands. PT Imago M…
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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.