CEI (CEI) Fair Value & Analysis
Real Estate · Market cap 1.9B PHP
Fair value as of: Jun 26, 2026
From 15 valuation models · updated 6 days ago
Fair value updated Jun 26, 2026 — revised from 0.0300 PHP to 0.0394 PHP (+31.2%) since Jun 25, 2026. Share price −5.7% over the past month.
Price vs Fair Value (12 months)
12‑month range 0.0520 PHP – 0.0890 PHP · fair‑value band 0.0312 PHP – 0.0394 PHP · the 0.0820 PHP price screens above the 0.0394 PHP fair value. As of Jun 26, 2026.
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CEI (CEI) currently trades at 0.0820 PHP, while our model-based Fair Value estimate is 0.0394 PHP — implying the stock looks roughly 52.0% overvalued today. We read business quality at 56/100 (solid quality), in the Real Estate 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: high).
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
CEI reported revenue of 117M PHP in FY2024 versus 172M PHP in FY2020, a compound −9.1%/yr. Reported net income was 22.0M PHP in FY2024, compounding −5.7%/yr from FY2020.
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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 | 484.64 PHP | +20% |
| ALI ALI | 13.20 PHP | 21.52 PHP | +63% |
| 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.