Is CORZW or CORZZ more undervalued in 2026?

CirclFi compares Core Scientific, Inc. (CORZW) and Core Scientific, Inc. - Tranche (CORZZ) using 13 institutional-grade valuation models. CORZW has a Quality of Company score of 4.4/10 while CORZZ scores 4.4/10.

Which is a better buy — CORZW or CORZZ?

Compare intrinsic values from 13 independent models against current market prices. CirclFi also calculates Value Trap scores. This is not financial advice — conduct your own analysis.

How do CORZW and CORZZ valuations compare?

CORZW at $20.96 and CORZZ at $27.65 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

CORZW vs CORZZ Valuation Comparison 2026 — Intrinsic Value Analysis

CORZW

Finance Services

Core Scientific, Inc.

Quality

4.4

out of 10

Value Trap

LOW

Price

$20.96

Last close

Models

5/13

Active

CORZZ

Finance Services

Core Scientific, Inc. - Tranche

Quality

4.4

out of 10

Value Trap

LOW

Price

$27.65

Last close

Models

5/13

Active

Model-by-Model Comparison

Model	Type	CORZW Fair Value	CORZW Upside	CORZZ Fair Value	CORZZ Upside
Bayesian DCF	Intrinsic	$15.52	-26.0%	$62.63	+126.5%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$3.73	-82.2%	$3.73	-86.5%
Regime Cross-Sectional	Relative	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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CORZW vs CORZZ — Which Stock Is More Undervalued?

Both CORZW and CORZZ score 4.4/10 on quality. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Core Scientific, Inc. (CORZW) and Core Scientific, Inc. - Tranche (CORZZ) 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.

CORZW currently trades at $20.96 with a QOC of 4.4/10, while CORZZ trades at $27.65 with a QOC of 4.4/10.

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).