STI (STI) Fair Value & Analysis
Academic & Educational Services · PH · Market cap 3.1B PHP
Fair value as of: Jun 24, 2026
From 20 valuation models · updated 5 days ago
Fair value updated Jun 24, 2026 — revised from 20.68 PHP to 13.59 PHP (−34.3%) since Jun 23, 2026. Share price −7.4% over the past month.
Price vs Fair Value (12 months)
12‑month range 1.25 PHP – 1.71 PHP · fair‑value band 10.19 PHP – 16.99 PHP · the 1.26 PHP price screens below the 13.59 PHP fair value. As of Jun 24, 2026.
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STI (STI) currently trades at 1.26 PHP, while our model-based Fair Value estimate is 13.59 PHP — implying the stock looks roughly 978.6% undervalued today. We read business quality at 92/100 (high quality), in the Academic & Educational Services 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 19.7. Fundamentals as of Jun 24, 2026
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
STI reported revenue of 5.6B PHP in FY2024 versus 2.1B PHP in FY2020, a compound +27.7%/yr. Reported net income was 2.2B PHP in FY2024, compounding +114.9%/yr from FY2020.
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Similar stocks
6 more Miscellaneous Educational Service Providers stocks, each showing price versus our Fair Value estimate (as of Jun 24, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| MegaStudy Co 072870 | 12,740 KRW | 43,964 KRW | +245% |
| Creverse, Inc 096240 | 9,260 KRW | 21,486 KRW | +132% |
| YBM Net, Inc 057030 | 2,060 KRW | 2,285 KRW | +11% |
| FEU FEU | 829.50 PHP | 1,069 PHP | +29% |
| IPO IPO | 6.74 PHP | 14.61 PHP | +117% |
| Multicampus Corporation 067280 | 25,200 KRW | 87,094 KRW | +246% |
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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.