KLXE vs NGS

KLX Energy Services Holdings, I vs Natural Gas Services Group, Inc — Valuation Comparison 2026

KLXE

Oil & Gas Field Services, NEC
KLX Energy Services Holdings, I
Quality
5.7
out of 10
Value Trap
18
SAFE
Price
$2.74
Last close
Models
9/13
Active
VS

NGS

Oil & Gas Field Services, NEC
Natural Gas Services Group, Inc
Quality
8.7
out of 10
Value Trap
18
SAFE
Price
$39.30
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType KLXE Fair ValueKLXE Upside NGS Fair ValueNGS Upside
Bayesian DCF Intrinsic $63.25 +60.9%
Earnings Power Value Intrinsic $18.61 +400.3% $5.07 -88.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $2.25 -17.7% $1.17 -97.0%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

KLXE vs NGS — Which Stock Is More Undervalued?

NGS scores higher with a 8.7/10 quality rating vs KLXE's 5.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing KLX Energy Services Holdings, I (KLXE) and Natural Gas Services Group, Inc (NGS) 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.

KLXE currently trades at $2.74 with a QOC of 5.7/10, while NGS trades at $39.30 with a QOC of 8.7/10.

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).