PPIH vs UUU

Perma-Pipe International Holdin vs Universal Safety Products, Inc. — Valuation Comparison 2026

PPIH

Building Products & Equipment
Perma-Pipe International Holdin
Quality
8.9
out of 10
Value Trap
24
SAFE
Price
$31.88
Last close
Models
12/13
Active
VS

UUU

Building Products & Equipment
Universal Safety Products, Inc.
Quality
7.1
out of 10
Value Trap
18
SAFE
Price
$6.92
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType PPIH Fair ValuePPIH Upside UUU Fair ValueUUU Upside
Bayesian DCF Intrinsic $2.00 -93.7% $12.19 +76.1%
Earnings Power Value Intrinsic $11.42 -64.2% $3.23 -46.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 PPIH vs UUU — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PPIH vs UUU — Which Stock Is More Undervalued?

PPIH scores higher with a 8.9/10 quality rating vs UUU's 7.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Perma-Pipe International Holdin (PPIH) and Universal Safety Products, Inc. (UUU) 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.

PPIH currently trades at $31.88 with a QOC of 8.9/10, while UUU trades at $6.92 with a QOC of 7.1/10.

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).