SIRI vs TSQ

SiriusXM Holdings Inc. vs Townsquare Media, Inc. — Valuation Comparison 2026

SIRI

Radio Broadcasting Stations
SiriusXM Holdings Inc.
Quality
7.6
out of 10
Value Trap
25
LOW
Price
$29.52
Last close
Models
12/13
Active
VS

TSQ

Radio Broadcasting Stations
Townsquare Media, Inc.
Quality
5.3
out of 10
Value Trap
11
SAFE
Price
$6.60
Last close
Models
8/13
Active

Model-by-Model Comparison

ModelType SIRI Fair ValueSIRI Upside TSQ Fair ValueTSQ Upside
Bayesian DCF Intrinsic $28.36 -3.9% $0.30 -95.3%
Earnings Power Value Intrinsic $86.03 +191.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $3.45 -88.3% $6.16 -1.7%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 SIRI vs TSQ — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SIRI vs TSQ — Which Stock Is More Undervalued?

SIRI scores higher with a 7.6/10 quality rating vs TSQ's 5.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing SiriusXM Holdings Inc. (SIRI) and Townsquare Media, Inc. (TSQ) 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.

SIRI currently trades at $29.52 with a QOC of 7.6/10, while TSQ trades at $6.60 with a QOC of 5.3/10.

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).