Is OPENL or OPENZ more undervalued in 2026?

CirclFi compares OPENL (OPENL) and OPENZ (OPENZ) using 13 institutional-grade valuation models. OPENL has a Quality of Company score of 5.9/10 while OPENZ scores 5.9/10.

Which is a better buy — OPENL or OPENZ?

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 OPENL and OPENZ valuations compare?

OPENL at $0.31 and OPENZ at $0.26 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

OPENL vs OPENZ Valuation Comparison 2026 — Intrinsic Value Analysis

OPENL

Real Estate Agents & Managers (For Others)

OPENL

Quality

5.9

out of 10

Value Trap

SAFE

Price

$0.31

Last close

Models

7/13

Active

OPENZ

Real Estate Agents & Managers (For Others)

OPENZ

Quality

5.9

out of 10

Value Trap

SAFE

Price

$0.26

Last close

Models

5/13

Active

Model-by-Model Comparison

Model	Type	OPENL Fair Value	OPENL Upside	OPENZ Fair Value	OPENZ Upside
Earnings Power Value	Intrinsic	$0.60	+46.9%	$0.60	+54.4%
EROIC Spread	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
First Chicago	Scenario	$0.40	+28.6%	$0.40	+53.3%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
FTNN Topology	Relative	$•••.••	••.•%	$•••.••	••.•%

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OPENL vs OPENZ — Which Stock Is More Undervalued?

Both OPENL and OPENZ score 5.9/10 on quality. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing OPENL (OPENL) and OPENZ (OPENZ) 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.

OPENL currently trades at $0.31 with a QOC of 5.9/10, while OPENZ trades at $0.26 with a QOC of 5.9/10.

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).