MAB (MAB) Fair Value & Analysis
Basic Materials · PH · Market cap 2.6B PHP
Fair value as of: Jun 26, 2026
From 1 valuation models · updated 3 days ago
Fair value updated Jun 26, 2026 — revised from 0.0300 PHP to 0.0075 PHP (−75.0%) since Jun 24, 2026. Share price −8.8% over the past month.
Price vs Fair Value (12 months)
12‑month range 0.0027 PHP – 0.0091 PHP · the 0.0073 PHP price screens below the 0.0075 PHP fair value. As of Jun 26, 2026.
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MAB (MAB) currently trades at 0.0073 PHP, while our model-based Fair Value estimate is 0.0075 PHP — implying the stock looks roughly 2.7% undervalued today. We read business quality at 92/100 (high quality), in the Basic Materials 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.
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
MAB reported revenue of 5.5K PHP in FY2024 versus 7.0K PHP in FY2020, a compound −5.8%/yr. Reported net income was −18.0M PHP in FY2024.
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Similar stocks
6 more Metals & Mining stocks, each showing price versus our Fair Value estimate (as of Jun 26, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| NIKL NIKL | 4.49 PHP | 9.73 PHP | +117% |
| AB AB | 1.90 PHP | 0.2700 PHP | -86% |
| Pelangio Exploration Inc PX | 7.90 PHP | 5.48 PHP | -31% |
| LCB LCB | 0.1810 PHP | 0.0300 PHP | -83% |
| LC LC | 0.1790 PHP | 0.0300 PHP | -83% |
| CPM CPM | 2.21 PHP | 1.35 PHP | -39% |
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Frequently asked questions
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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.