Fairvalue-Calculator Fairvalue-Calculator
EN DE

FRUIT (FRUIT) Fair Value & Analysis

Consumer Non-Cyclicals · PH · Market cap 2.5B PHP

Price0.6500 PHP
Fair Value0.6400 PHP
Upside-1.5%
Quality92/100
Evidence: Medium Range 0.4800 PHP – 0.8100 PHP

Fair value as of: Jun 24, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

FRUIT (FRUIT) currently trades at 0.6500 PHP, while our model-based Fair Value estimate is 0.6400 PHP — implying the stock looks roughly 1.5% overvalued today. We read business quality at 92/100 (high quality), in the Consumer Non-Cyclicals 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: medium).

Open the full interactive analysis →

Similar stocks

Sierra Madre Gold and Silver Ltd (SM) +58% PGOLD (PGOLD) +41% RRHI (RRHI) +20% SEVN (SEVN) +7% COSCO (COSCO) +582% Curexo Inc (060280) -86%

Frequently asked questions

Is FRUIT (FRUIT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 0.6400 PHP versus a price of 0.6500 PHP — about −2% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FRUIT?
Our 21-model fair value for FRUIT is 0.6400 PHP (as of Jun 24, 2026), built from audited fundamentals. The current price is 0.6500 PHP.
What is the quality score of FRUIT?
FRUIT has a Quality Score of 92/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.