HCTI vs HQY

Healthcare Triangle, Inc. vs HealthEquity, Inc. — Valuation Comparison 2026

HCTI

Health Information Services
Healthcare Triangle, Inc.
Quality
4.0
out of 10
Value Trap
54
WARN
Price
$2.61
Last close
Models
9/13
Active
VS

HQY

Health Information Services
HealthEquity, Inc.
Quality
9.8
out of 10
Value Trap
12
SAFE
Price
$90.52
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType HCTI Fair ValueHCTI Upside HQY Fair ValueHQY Upside
Bayesian DCF Intrinsic $58.07 -35.8%
Earnings Power Value Intrinsic $43.18 -52.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $6.82 +188.2% $56.87 -37.2%
Dynamic NAV Asset-Based $6.48 +148.3%
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 HCTI vs HQY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

HCTI vs HQY — Which Stock Is More Undervalued?

HQY scores higher with a 9.8/10 quality rating vs HCTI's 4.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Healthcare Triangle, Inc. (HCTI) and HealthEquity, Inc. (HQY) 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.

HCTI currently trades at $2.61 with a QOC of 4.0/10, while HQY trades at $90.52 with a QOC of 9.8/10.

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).