MAIR vs PPIH

Madison Air Solutions Corporati vs Perma-Pipe International Holdin — Valuation Comparison 2026

MAIR

Industrial & Commercial Fans & Blowers & Air Purifing Equip
Madison Air Solutions Corporati
Quality
1.7
out of 10
Value Trap
Price
$43.47
Last close
Models
13/13
Active
VS

PPIH

Industrial & Commercial Fans & Blowers & Air Purifing Equip
Perma-Pipe International Holdin
Quality
8.9
out of 10
Value Trap
24
SAFE
Price
$30.69
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType MAIR Fair ValueMAIR Upside PPIH Fair ValuePPIH Upside
Bayesian DCF Intrinsic $12.24 -71.8% $2.00 -93.7%
Earnings Power Value Intrinsic $14.55 -57.0% $11.42 -62.8%
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 $•••.•• ••.•% $•••.•• ••.•%
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MAIR vs PPIH — Which Stock Is More Undervalued?

PPIH scores higher with a 8.9/10 quality rating vs MAIR's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Madison Air Solutions Corporati (MAIR) and Perma-Pipe International Holdin (PPIH) 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.

MAIR currently trades at $43.47 with a QOC of 1.7/10, while PPIH trades at $30.69 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).