ATN (ATN) Fair Value & Analysis
Real Estate · PH · Market cap 2.5B PHP
Fair value as of: Jun 26, 2026
From 13 valuation models · updated 3 days ago
Fair value updated Jun 26, 2026 — revised from 0.0200 PHP to 0.6100 PHP (+2,950.0%) since Jun 24, 2026.
Price vs Fair Value (12 months)
12‑month range 0.4050 PHP – 0.5600 PHP · the 0.4150 PHP price screens below the 0.6100 PHP fair value. As of Jun 26, 2026.
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ATN (ATN) currently trades at 0.4150 PHP, while our model-based Fair Value estimate is 0.6100 PHP — implying the stock looks roughly 47.0% undervalued today. We read business quality at 92/100 (high quality), in the Real Estate 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: medium) — always confirm before acting.
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
ATN reported revenue of 40.3M PHP in FY2024 versus 18.6M PHP in FY2020, a compound +21.4%/yr. Reported net income was 2.5M PHP in FY2024.
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Similar stocks
6 more Real Estate Operations stocks, each showing price versus our Fair Value estimate (as of Jun 26, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| SMPH SMPH | 17.80 PHP | 24.67 PHP | +39% |
| AC AC | 403.80 PHP | 810.60 PHP | +101% |
| ALI ALI | 13.20 PHP | 19.05 PHP | +44% |
| MEG MEG | 1.98 PHP | 4.95 PHP | +150% |
| RLC RLC | 16.12 PHP | 40.30 PHP | +150% |
| DD DD | 11.84 PHP | 28.74 PHP | +143% |
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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.