TACT vs YIBO

TransAct Technologies Incorpora vs Planet Image International Limi — Valuation Comparison 2026

TACT

Computer Peripheral Equipment, NEC
TransAct Technologies Incorpora
Quality
7.9
out of 10
Value Trap
18
SAFE
Price
$4.47
Last close
Models
12/13
Active
VS

YIBO

Computer Peripheral Equipment, NEC
Planet Image International Limi
Quality
2.4
out of 10
Value Trap
Price
$1.02
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType TACT Fair ValueTACT Upside YIBO Fair ValueYIBO Upside
Bayesian DCF Intrinsic $15.22 +240.4% $0.48 -52.9%
Earnings Power Value Intrinsic $1.73 -61.2% $0.55 -50.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 TACT vs YIBO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TACT vs YIBO — Which Stock Is More Undervalued?

TACT scores higher with a 7.9/10 quality rating vs YIBO's 2.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing TransAct Technologies Incorpora (TACT) and Planet Image International Limi (YIBO) 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.

TACT currently trades at $4.47 with a QOC of 7.9/10, while YIBO trades at $1.02 with a QOC of 2.4/10.

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).