INLF vs RRX

INLIF LIMITED vs Regal Rexnord Corporation — Valuation Comparison 2026

INLF

General Industrial Machinery & Equipment, NEC
INLIF LIMITED
Quality
2.3
out of 10
Value Trap
Price
$3.80
Last close
Models
12/13
Active
VS

RRX

General Industrial Machinery & Equipment, NEC
Regal Rexnord Corporation
Quality
9.2
out of 10
Value Trap
29
LOW
Price
$201.76
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType INLF Fair ValueINLF Upside RRX Fair ValueRRX Upside
Bayesian DCF Intrinsic $0.80 -78.9% $150.54 -25.4%
Earnings Power Value Intrinsic $0.08 -97.4% $4.75 -97.6%
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 INLF vs RRX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

INLF vs RRX — Which Stock Is More Undervalued?

RRX scores higher with a 9.2/10 quality rating vs INLF's 2.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing INLIF LIMITED (INLF) and Regal Rexnord Corporation (RRX) 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.

INLF currently trades at $3.80 with a QOC of 2.3/10, while RRX trades at $201.76 with a QOC of 9.2/10.

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).