ATKR vs BLDP

Atkore Inc. vs Ballard Power Systems, Inc. — Valuation Comparison 2026

ATKR

Electrical Equipment & Parts
Atkore Inc.
Quality
7.5
out of 10
Value Trap
6
SAFE
Price
$82.06
Last close
Models
13/13
Active
VS

BLDP

Electrical Equipment & Parts
Ballard Power Systems, Inc.
Quality
2.0
out of 10
Value Trap
Price
$6.19
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType ATKR Fair ValueATKR Upside BLDP Fair ValueBLDP Upside
Bayesian DCF Intrinsic $210.42 +156.4% $1.64 -73.5%
Earnings Power Value Intrinsic $79.35 -3.3% $1.31 -61.3%
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 ATKR vs BLDP — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ATKR vs BLDP — Which Stock Is More Undervalued?

ATKR scores higher with a 7.5/10 quality rating vs BLDP's 2.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Atkore Inc. (ATKR) and Ballard Power Systems, Inc. (BLDP) 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.

ATKR currently trades at $82.06 with a QOC of 7.5/10, while BLDP trades at $6.19 with a QOC of 2.0/10.

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).