COE vs COUR

51Talk Online Education Group vs Coursera, Inc. — Valuation Comparison 2026

COE

Education & Training Services
51Talk Online Education Group
Quality
3.2
out of 10
Value Trap
Price
$25.80
Last close
Models
9/13
Active
VS

COUR

Education & Training Services
Coursera, Inc.
Quality
7.2
out of 10
Value Trap
36
LOW
Price
$5.31
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType COE Fair ValueCOE Upside COUR Fair ValueCOUR Upside
Bayesian DCF Intrinsic $5.11 -80.2% $4.78 -10.0%
Earnings Power Value Intrinsic $10.16 -64.3% $2.62 -50.6%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for COE vs COUR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

COE vs COUR — Which Stock Is More Undervalued?

COUR scores higher with a 7.2/10 quality rating vs COE's 3.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing 51Talk Online Education Group (COE) and Coursera, Inc. (COUR) 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.

COE currently trades at $25.80 with a QOC of 3.2/10, while COUR trades at $5.31 with a QOC of 7.2/10.

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).