QCOM vs UMAC

QUALCOMM Incorporated vs Unusual Machines, Inc. — Valuation Comparison 2026

QCOM

Radio & Tv Broadcasting & Communications Equipment
QUALCOMM Incorporated
Quality
9.6
out of 10
Value Trap
13
SAFE
Price
$251.02
Last close
Models
13/13
Active
VS

UMAC

Radio & Tv Broadcasting & Communications Equipment
Unusual Machines, Inc.
Quality
4.6
out of 10
Value Trap
23
SAFE
Price
$31.78
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType QCOM Fair ValueQCOM Upside UMAC Fair ValueUMAC Upside
Bayesian DCF Intrinsic $143.26 -42.9% $6.23 -80.4%
Earnings Power Value Intrinsic $93.31 -62.8% $2.20 -84.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 QCOM vs UMAC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

QCOM vs UMAC — Which Stock Is More Undervalued?

QCOM scores higher with a 9.6/10 quality rating vs UMAC's 4.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing QUALCOMM Incorporated (QCOM) and Unusual Machines, Inc. (UMAC) 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.

QCOM currently trades at $251.02 with a QOC of 9.6/10, while UMAC trades at $31.78 with a QOC of 4.6/10.

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).