EPAC vs RAIN

Enerpac Tool Group Corp. vs Rain Enhancement Technologies H — Valuation Comparison 2026

EPAC

Misc Industrial & Commercial Machinery & Equipment
Enerpac Tool Group Corp.
Quality
9.6
out of 10
Value Trap
12
SAFE
Price
$33.49
Last close
Models
13/13
Active
VS

RAIN

Misc Industrial & Commercial Machinery & Equipment
Rain Enhancement Technologies H
Quality
3.4
out of 10
Value Trap
Price
$2.27
Last close
Models
6/13
Active

Model-by-Model Comparison

ModelType EPAC Fair ValueEPAC Upside RAIN Fair ValueRAIN Upside
Bayesian DCF Intrinsic $10.58 -68.4% $0.23 -90.0%
Earnings Power Value Intrinsic $11.61 -65.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $35.44 +5.8% $3.55 +56.4%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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EPAC vs RAIN — Which Stock Is More Undervalued?

EPAC scores higher with a 9.6/10 quality rating vs RAIN's 3.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Enerpac Tool Group Corp. (EPAC) and Rain Enhancement Technologies H (RAIN) 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.

EPAC currently trades at $33.49 with a QOC of 9.6/10, while RAIN trades at $2.27 with a QOC of 3.4/10.

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).