SU vs SUN

Suncor Energy Inc. vs Sunoco LP — Valuation Comparison 2026

SU

Petroleum Refining
Suncor Energy Inc.
Quality
1.7
out of 10
Value Trap
Price
$62.36
Last close
Models
13/13
Active
VS

SUN

Petroleum Refining
Sunoco LP
Quality
7.7
out of 10
Value Trap
12
SAFE
Price
$64.94
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType SU Fair ValueSU Upside SUN Fair ValueSUN Upside
Bayesian DCF Intrinsic $22.91 -63.3% $6.54 -90.7%
Earnings Power Value Intrinsic $26.18 -59.1%
EROIC Spread Intrinsic $20.65 -67.7% $8.57 -86.8%
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 SU vs SUN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SU vs SUN — Which Stock Is More Undervalued?

SUN scores higher with a 7.7/10 quality rating vs SU's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Suncor Energy Inc. (SU) and Sunoco LP (SUN) 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.

SU currently trades at $62.36 with a QOC of 1.7/10, while SUN trades at $64.94 with a QOC of 7.7/10.

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).