COCO vs IPST

The Vita Coco Company, Inc. vs IP Strategy Holdings, Inc. — Valuation Comparison 2026

COCO

Beverages
The Vita Coco Company, Inc.
Quality
10.0
out of 10
Value Trap
28
LOW
Price
$75.13
Last close
Models
13/13
Active
VS

IPST

Beverages
IP Strategy Holdings, Inc.
Quality
4.9
out of 10
Value Trap
18
SAFE
Price
$4.82
Last close
Models
6/13
Active

Model-by-Model Comparison

ModelType COCO Fair ValueCOCO Upside IPST Fair ValueIPST Upside
Bayesian DCF Intrinsic $16.08 -78.6%
Earnings Power Value Intrinsic $14.74 -80.4% $31.13 +466.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $26.37 -64.9% $3.50 -42.8%
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 COCO vs IPST — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

COCO vs IPST — Which Stock Is More Undervalued?

COCO scores higher with a 10.0/10 quality rating vs IPST's 4.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing The Vita Coco Company, Inc. (COCO) and IP Strategy Holdings, Inc. (IPST) 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.

COCO currently trades at $75.13 with a QOC of 10.0/10, while IPST trades at $4.82 with a QOC of 4.9/10.

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).