IREN vs JEF

IREN LIMITED vs Jefferies Financial Group Inc. — Valuation Comparison 2026

IREN

Capital Markets
IREN LIMITED
Quality
6.6
out of 10
Value Trap
Price
$64.05
Last close
Models
12/13
Active
VS

JEF

Capital Markets
Jefferies Financial Group Inc.
Quality
8.0
out of 10
Value Trap
26
LOW
Price
$52.47
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType IREN Fair ValueIREN Upside JEF Fair ValueJEF Upside
Bayesian DCF Intrinsic $13.73 -78.6% $2.13 -95.7%
Earnings Power Value Intrinsic $13.21 -71.1% $13.20 -73.2%
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 IREN vs JEF — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

IREN vs JEF — Which Stock Is More Undervalued?

JEF scores higher with a 8.0/10 quality rating vs IREN's 6.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing IREN LIMITED (IREN) and Jefferies Financial Group Inc. (JEF) 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.

IREN currently trades at $64.05 with a QOC of 6.6/10, while JEF trades at $52.47 with a QOC of 8.0/10.

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).