AT (AT) Fair Value & Analysis
Basic Materials · PH · Market cap 12.5B PHP
Fair value as of: Jun 24, 2026
From 11 valuation models · updated 5 days ago
Share price −18.4% over the past month.
Price vs Fair Value (12 months)
12‑month range 3.52 PHP – 10.40 PHP · fair‑value band 61.35 PHP – 102.25 PHP · the 7.34 PHP price screens below the 81.80 PHP fair value. As of Jun 24, 2026.
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AT (AT) currently trades at 7.34 PHP, while our model-based Fair Value estimate is 81.80 PHP — implying the stock looks roughly 1,014.4% 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.
The stock trades on a trailing P/E of 30.1. Fundamentals as of Jun 24, 2026
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
AT reported revenue of 18.6B PHP in FY2024 versus 17.5B PHP in FY2020, a compound +1.6%/yr. Reported net income was −231M 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 24, 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.