First Pacific Company (FPAFF) Fair Value & Analysis
Consumer Defensive · US · Market cap $2.9B
Analysis
First Pacific Company (FPAFF) currently trades at $0.6700, while our model-based Fair Value estimate is $3.26 — implying the stock looks roughly 386.6% undervalued today. We read business quality at 80/100 (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: low) — always confirm before acting.
About the company
First Pacific Company Limited, an investment holding company, engages in the consumer food products, telecommunications, infrastructure, and natural resources businesses in the Philippines, Indonesia, Singapore, the Middle East, Africa, and internationally. The company offers a range of telecommunications and digital services, including fiber-optic backbone, fixed-line, and cellular networks. It also manufactures and distributes consumer-branded goods and a range of food products, including noodles, dairy products, snack foods, food seasonings, nutrition and special foods, beverages, and products comprising wheat flour and pasta under the Bogasari brand. In addition, the company is involved in agribusiness activities, such as seed breeding; oil palm cultivation, milling, and the production of cooking oils, margarine, and shortening; as well as the cultivation and processing of sugar cane, rubber, and other crops. Further, it explores for, mines, and produces gold, copper, and silver…
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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.