Is SATL or SPCE more undervalued in 2026?

CirclFi compares Satellogic Inc. (SATL) and Virgin Galactic Holdings, Inc. (SPCE) using 13 institutional-grade valuation models. SATL has a Quality of Company score of 4.7/10 while SPCE scores 5.3/10.

Which is a better buy — SATL or SPCE?

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 SATL and SPCE valuations compare?

SATL at $9.85 and SPCE at $4.53 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

SATL vs SPCE Valuation Comparison 2026 — Intrinsic Value Analysis

SATL

Aerospace & Defense

Satellogic Inc.

Quality

4.7

out of 10

Value Trap

SAFE

Price

$9.85

Last close

Models

4/13

Active

SPCE

Aerospace & Defense

Virgin Galactic Holdings, Inc.

Quality

5.3

out of 10

Value Trap

SAFE

Price

$4.53

Last close

Models

5/13

Active

Model-by-Model Comparison

Model	Type	SATL Fair Value	SATL Upside	SPCE Fair Value	SPCE Upside
Bayesian DCF	Intrinsic	$2.62	-73.4%	$0.33	-92.7%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	—	—	$2.46	-45.7%
PWERM	Option-Based	$9.68	-1.7%	$6.51	+43.8%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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SATL vs SPCE — Which Stock Is More Undervalued?

SPCE scores higher with a 5.3/10 quality rating vs SATL's 4.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Satellogic Inc. (SATL) and Virgin Galactic Holdings, Inc. (SPCE) 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.

SATL currently trades at $9.85 with a QOC of 4.7/10, while SPCE trades at $4.53 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).