PT Sreeya Sewu Indonesia Tbk (SIPD) Fair Value & Analysis
Consumer Defensive · ID · Market cap 1.3T IDR
Fair value as of: Jun 24, 2026
Analysis
PT Sreeya Sewu Indonesia Tbk (SIPD) currently trades at 680.00 IDR, while our model-based Fair Value estimate is 311.93 IDR — implying the stock looks roughly 54.1% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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 Sreeya Sewu Indonesia Tbk engages in breeding to produce commercial chickens, chicken slaughter, and integrated chicken processing with cold storage in Indonesia. It operates through Poultry Feeds; Breeder and Farm; and Dressed Chicken and Frozen Foods segments. The company offers broiler, layer, breeder, concentrate, quail, and bird feed; and other type of feeds in the form of flour, pellet, crumble, and expander. It also operates day old chick (DOC) breeding and hatchery farms, which are cultivated by broiler and layer farmers to produce live birds; and slaughterhouses that produce live birds from DOC broilers. In addition, the company offers dressed chicken products to various supermarkets, hypermarkets, restaurants, café, and other outlets; and frozen food, including processed chicken, chicken nuggets, sausages, corned and meatballs under the Royal, Belfoods, and Uenakk brand names. Further, it is involved in the food processing industry; and distribution and trading of poult…
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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.