XHG vs YB

XChange TEC.INC vs Yuanbao Inc. — Valuation Comparison 2026

XHG

Insurance Agents, Brokers & Service
XChange TEC.INC
Quality
3.6
out of 10
Value Trap
53
WARN
Price
$1.01
Last close
Models
8/13
Active
VS

YB

Insurance Agents, Brokers & Service
Yuanbao Inc.
Quality
8.9
out of 10
Value Trap
Price
$14.85
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType XHG Fair ValueXHG Upside YB Fair ValueYB Upside
Bayesian DCF Intrinsic $0.15 -84.8% $48.60 +227.3%
Earnings Power Value Intrinsic $34.17 +130.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $4.48 +344.0% $6.62 -55.5%
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 XHG vs YB — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

XHG vs YB — Which Stock Is More Undervalued?

YB scores higher with a 8.9/10 quality rating vs XHG's 3.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing XChange TEC.INC (XHG) and Yuanbao Inc. (YB) 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.

XHG currently trades at $1.01 with a QOC of 3.6/10, while YB trades at $14.85 with a QOC of 8.9/10.

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).