Is IGAC or INV more undervalued in 2026?

CirclFi compares Invest Green Acquisition Corpor (IGAC) and Innventure, Inc. (INV) using 13 institutional-grade valuation models. IGAC has a Quality of Company score of 3.8/10 while INV scores 5.4/10.

Which is a better buy — IGAC or INV?

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 IGAC and INV valuations compare?

IGAC at $10.01 and INV at $5.33 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

IGAC vs INV Valuation Comparison 2026 — Intrinsic Value Analysis

IGAC

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Invest Green Acquisition Corpor

Quality

3.8

out of 10

Value Trap

—

Price

$10.01

Last close

Models

7/13

Active

INV

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Innventure, Inc.

Quality

5.4

out of 10

Value Trap

SAFE

Price

$5.33

Last close

Models

4/13

Active

Model-by-Model Comparison

Model	Type	IGAC Fair Value	IGAC Upside	INV Fair Value	INV Upside
Bayesian DCF	Intrinsic	$2.65	-73.4%	$0.19	-96.4%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$4.42	-55.8%	$0.31	-95.0%
Dynamic NAV	Asset-Based	$3.33	-66.6%	—	—
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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IGAC vs INV — Which Stock Is More Undervalued?

INV scores higher with a 5.4/10 quality rating vs IGAC's 3.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Invest Green Acquisition Corpor (IGAC) and Innventure, Inc. (INV) 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.

IGAC currently trades at $10.01 with a QOC of 3.8/10, while INV trades at $5.33 with a QOC of 5.4/10.

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).