BWIN vs CCG

The Baldwin Insurance Group, In vs Cheche Group Inc. — Valuation Comparison 2026

BWIN

Insurance Agents, Brokers & Service
The Baldwin Insurance Group, In
Quality
6.7
out of 10
Value Trap
11
SAFE
Price
$19.42
Last close
Models
12/13
Active
VS

CCG

Insurance Agents, Brokers & Service
Cheche Group Inc.
Quality
7.0
out of 10
Value Trap
12
SAFE
Price
$0.62
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType BWIN Fair ValueBWIN Upside CCG Fair ValueCCG Upside
Bayesian DCF Intrinsic $0.92 -95.4% $0.22 -64.7%
Earnings Power Value Intrinsic $16.40 -34.7% $0.72 +2.0%
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 BWIN vs CCG — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BWIN vs CCG — Which Stock Is More Undervalued?

CCG scores higher with a 7.0/10 quality rating vs BWIN's 6.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing The Baldwin Insurance Group, In (BWIN) and Cheche Group Inc. (CCG) 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.

BWIN currently trades at $19.42 with a QOC of 6.7/10, while CCG trades at $0.62 with a QOC of 7.0/10.

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).