IONR vs MDU

ioneer Ltd vs MDU Resources Group, Inc. — Valuation Comparison 2026

IONR

Mining & Quarrying of Nonmetallic Minerals (No Fuels)
ioneer Ltd
Quality
2.1
out of 10
Value Trap
6
SAFE
Price
$4.07
Last close
Models
8/13
Active
VS

MDU

Mining & Quarrying of Nonmetallic Minerals (No Fuels)
MDU Resources Group, Inc.
Quality
6.2
out of 10
Value Trap
16
SAFE
Price
$21.08
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType IONR Fair ValueIONR Upside MDU Fair ValueMDU Upside
Bayesian DCF Intrinsic $1.11 -72.7%
Earnings Power Value Intrinsic $7.95 -64.8%
EROIC Spread Intrinsic $8.10 -61.6%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $0.24 -94.1% $25.17 +19.4%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

IONR vs MDU — Which Stock Is More Undervalued?

MDU scores higher with a 6.2/10 quality rating vs IONR's 2.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing ioneer Ltd (IONR) and MDU Resources Group, Inc. (MDU) 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.

IONR currently trades at $4.07 with a QOC of 2.1/10, while MDU trades at $21.08 with a QOC of 6.2/10.

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).