EDU vs FEDU

New Oriental Education & Techno vs Four Seasons Education (Cayman) — Valuation Comparison 2026

EDU

Education & Training Services
New Oriental Education & Techno
Quality
9.1
out of 10
Value Trap
6
SAFE
Price
$46.26
Last close
Models
13/13
Active
VS

FEDU

Education & Training Services
Four Seasons Education (Cayman)
Quality
6.3
out of 10
Value Trap
16
SAFE
Price
$10.91
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType EDU Fair ValueEDU Upside FEDU Fair ValueFEDU Upside
Bayesian DCF Intrinsic $46.32 +0.1% $16.62 +52.3%
Earnings Power Value Intrinsic $24.86 -46.3% $1.19 -88.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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EDU vs FEDU — Which Stock Is More Undervalued?

EDU scores higher with a 9.1/10 quality rating vs FEDU's 6.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing New Oriental Education & Techno (EDU) and Four Seasons Education (Cayman) (FEDU) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

EDU currently trades at $46.26 with a QOC of 9.1/10, while FEDU trades at $10.91 with a QOC of 6.3/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).