FLNC vs MVST

Fluence Energy, Inc. vs Microvast Holdings, Inc. — Valuation Comparison 2026

FLNC

Miscellaneous Electrical Machinery, Equipment & Supplies
Fluence Energy, Inc.
Quality
6.8
out of 10
Value Trap
24
SAFE
Price
$18.88
Last close
Models
11/13
Active
VS

MVST

Miscellaneous Electrical Machinery, Equipment & Supplies
Microvast Holdings, Inc.
Quality
7.4
out of 10
Value Trap
24
SAFE
Price
$1.55
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType FLNC Fair ValueFLNC Upside MVST Fair ValueMVST Upside
Bayesian DCF Intrinsic $6.12 -67.6% $2.20 +42.1%
Earnings Power Value Intrinsic $6.87 -43.7% $0.15 -90.2%
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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FLNC vs MVST — Which Stock Is More Undervalued?

MVST scores higher with a 7.4/10 quality rating vs FLNC's 6.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Fluence Energy, Inc. (FLNC) and Microvast Holdings, Inc. (MVST) 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.

FLNC currently trades at $18.88 with a QOC of 6.8/10, while MVST trades at $1.55 with a QOC of 7.4/10.

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).