CMTL vs DGII

Comtech Telecommunications Corp vs Digi International Inc. — Valuation Comparison 2026

CMTL

Communication Equipment
Comtech Telecommunications Corp
Quality
4.8
out of 10
Value Trap
12
SAFE
Price
$5.75
Last close
Models
11/13
Active
VS

DGII

Communication Equipment
Digi International Inc.
Quality
9.9
out of 10
Value Trap
17
SAFE
Price
$68.22
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType CMTL Fair ValueCMTL Upside DGII Fair ValueDGII Upside
Bayesian DCF Intrinsic $7.20 +85.0% $35.50 -48.0%
Earnings Power Value Intrinsic $17.78 +209.3% $10.50 -84.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 CMTL vs DGII — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CMTL vs DGII — Which Stock Is More Undervalued?

DGII scores higher with a 9.9/10 quality rating vs CMTL's 4.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Comtech Telecommunications Corp (CMTL) and Digi International Inc. (DGII) 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.

CMTL currently trades at $5.75 with a QOC of 4.8/10, while DGII trades at $68.22 with a QOC of 9.9/10.

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).