AR vs BATL

Antero Resources Corporation vs Battalion Oil Corporation — Valuation Comparison 2026

AR

Crude Petroleum & Natural Gas
Antero Resources Corporation
Quality
8.3
out of 10
Value Trap
24
SAFE
Price
$35.75
Last close
Models
13/13
Active
VS

BATL

Crude Petroleum & Natural Gas
Battalion Oil Corporation
Quality
7.6
out of 10
Value Trap
22
SAFE
Price
$1.45
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType AR Fair ValueAR Upside BATL Fair ValueBATL Upside
Bayesian DCF Intrinsic $76.18 +113.1% $1.47 +1.3%
Earnings Power Value Intrinsic $8.33 -76.7% $13.13 +251.1%
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 AR vs BATL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AR vs BATL — Which Stock Is More Undervalued?

AR scores higher with a 8.3/10 quality rating vs BATL's 7.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Antero Resources Corporation (AR) and Battalion Oil Corporation (BATL) 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.

AR currently trades at $35.75 with a QOC of 8.3/10, while BATL trades at $1.45 with a QOC of 7.6/10.

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).