SIEB vs SNEX

Siebert Financial Corp. vs StoneX Group Inc. — Valuation Comparison 2026

SIEB

Capital Markets
Siebert Financial Corp.
Quality
9.6
out of 10
Value Trap
12
SAFE
Price
$1.94
Last close
Models
11/13
Active
VS

SNEX

Capital Markets
StoneX Group Inc.
Quality
9.2
out of 10
Value Trap
6
SAFE
Price
$112.11
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType SIEB Fair ValueSIEB Upside SNEX Fair ValueSNEX Upside
Bayesian DCF Intrinsic $2.43 +25.0% $491.10 +338.1%
Earnings Power Value Intrinsic $1.90 -2.0% $71.40 -36.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 SIEB vs SNEX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SIEB vs SNEX — Which Stock Is More Undervalued?

SIEB scores higher with a 9.6/10 quality rating vs SNEX's 9.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Siebert Financial Corp. (SIEB) and StoneX Group Inc. (SNEX) 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.

SIEB currently trades at $1.94 with a QOC of 9.6/10, while SNEX trades at $112.11 with a QOC of 9.2/10.

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).