STKH vs VITL

Steakholder Foods Ltd. vs Vital Farms, Inc. — Valuation Comparison 2026

STKH

Food and Kindred Products
Steakholder Foods Ltd.
Quality
1.7
out of 10
Value Trap
12
SAFE
Price
$1.31
Last close
Models
8/13
Active
VS

VITL

Food and Kindred Products
Vital Farms, Inc.
Quality
9.6
out of 10
Value Trap
24
SAFE
Price
$10.01
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType STKH Fair ValueSTKH Upside VITL Fair ValueVITL Upside
Bayesian DCF Intrinsic $0.39 -70.3% $6.63 -33.7%
Earnings Power Value Intrinsic $14.82 +48.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $0.68 -60.6% $4.26 -57.4%
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 STKH vs VITL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

STKH vs VITL — Which Stock Is More Undervalued?

VITL scores higher with a 9.6/10 quality rating vs STKH's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Steakholder Foods Ltd. (STKH) and Vital Farms, Inc. (VITL) 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.

STKH currently trades at $1.31 with a QOC of 1.7/10, while VITL trades at $10.01 with a QOC of 9.6/10.

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).