Dragonfly Energy Holdings (DFLI) Fair Value & Analysis
Industrials · US · Market cap $25.4M
Fair value as of: Jun 25, 2026
Analysis
Dragonfly Energy Holdings (DFLI) currently trades at $1.81, while our model-based Fair Value estimate is $0.6000 — implying the stock looks roughly 66.9% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Dragonfly Energy Holdings Corp. engages in the manufacturing and sale of deep cycle lithium-ion batteries for recreational vehicles, marine vessels, solar and off-grid residence industries, and industrial and energy storage markets. It operates in two segments, direct-to-consumers and original equipment manufacturers. The company provides lithium power systems comprising solar panels, chargers and inverters, system monitoring, alternator regulators, accessories, and others. It also offers battery management systems for monitoring and controlling of battery systems, and to protect battery cells from damage in various scenarios, as well as battery communication system. In addition, the company offers Dragonfly IntelLigence, a communication technology that unlocks real-time monitoring, instant notifications, protocol integration, and superior battery protection. The company provides its products under the Dragonfly Energy, Battle Born, and Wakespeed brand names. It serves recreational …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.