Solitron Devices, Inc (SODI) Fair Value & Analysis
Technology · US · Market cap $51.7M
Fair value as of: Jun 24, 2026
Analysis
Solitron Devices, Inc (SODI) currently trades at $23.26, while our model-based Fair Value estimate is $7.56 — implying the stock looks roughly 67.5% overvalued today. We read business quality at 97/100 (high quality), in the Technology 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: high).
About the company
Solitron Devices, Inc. designs, develops, manufactures, and markets solid-state semiconductor components and related devices primarily for the military and aerospace markets in the United States, Canada, Latin America, Europe, and Australia. It offers a range of bipolar and metal oxide semiconductor (MOS) power transistors; power and control hybrids; junction and power MOS field effect transistors; field effect transistors; and other related products. The company also provides joint army/navy transistors, diodes, and standard military drawings voltage regulators. Its products are used as components of military, commercial, and aerospace electronic equipment, such as ground and airborne radar systems, power distribution systems, missiles, missile control systems, satellites, and space applications, as well as for non-military, scientific, and industrial applications. The company was incorporated in 1959 and is headquartered in West Palm Beach, Florida.
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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.