IBM vs INGM

International Business Machines vs Ingram Micro Holding Corporatio — Valuation Comparison 2026

IBM

Information Technology Services
International Business Machines
Quality
6.8
out of 10
Value Trap
17
SAFE
Price
$264.22
Last close
Models
12/13
Active
VS

INGM

Information Technology Services
Ingram Micro Holding Corporatio
Quality
5.3
out of 10
Value Trap
6
SAFE
Price
$27.07
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType IBM Fair ValueIBM Upside INGM Fair ValueINGM Upside
Bayesian DCF Intrinsic $110.88 -58.0% $2.65 -90.2%
Earnings Power Value Intrinsic $10.91 -95.9% $4.33 -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 $•••.•• ••.•% $•••.•• ••.•%
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IBM vs INGM — Which Stock Is More Undervalued?

IBM scores higher with a 6.8/10 quality rating vs INGM's 5.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing International Business Machines (IBM) and Ingram Micro Holding Corporatio (INGM) 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.

IBM currently trades at $264.22 with a QOC of 6.8/10, while INGM trades at $27.07 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).