PT Martina Berto Tbk, (MBTO) Fair Value & Analysis
Consumer Defensive · ID · Market cap 104B IDR
Fair value as of: Jun 25, 2026
Analysis
PT Martina Berto Tbk, (MBTO) currently trades at 106.00 IDR, while our model-based Fair Value estimate is 118.00 IDR — implying the stock looks roughly 11.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: medium) — always confirm before acting.
About the company
PT Martina Berto Tbk, together with its subsidiaries, manufactures, markets, sells, and trades in cosmetics and traditional medicines in Indonesia and internationally. It operates in two segments, Cosmetics and Herbal Medicine. The company offers facial cleansers, toners, moisturizers, liquid foundations, body splash colognes, hair sprays, and other liquid formulations; eye shadow, blush on, loose powder, compact powder, and other powder-based products; lipsticks, creamy foundations, and other semi-solid formulations; and masks, body scrubs, herbal teas, and mangir and other natural-based products. It sells its products under the Sariayu Martha Tilaar, Dewi Sri Spa Martha Tilaar, Biokos Martha Tilaar, Caring Colours by Martha Tilaar, Martha Tilaar Professional Artist Cosmetics, Belia Martha Tilaar, Rudy Hadisuwarno Cosmetics, Mirabella, and Cempaka brands. PT Martina Berto Tbk was founded in 1977 and is headquartered in Jakarta, Indonesia. PT Martina Berto Tbk operates as a subsidia…
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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.