Diodes Incorporated (DIOD) Fair Value & Analysis
Technology · US · Market cap $5.2B
Analysis
Diodes Incorporated (DIOD) currently trades at $112.08, while our model-based Fair Value estimate is $28.79 — implying the stock looks roughly 74.3% overvalued today. We read business quality at 92/100 (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
Diodes Incorporated, together with its subsidiaries, provides semiconductor products in Asia, the Americas, and Europe. The company offers MOSFET and SiC MOSFET discrete semiconductor products; data line protection, power line protection, thyrister, USB Type-C protection, and transient voltage suppressor protection devices; Schottky diodes, small signal switching diodes, Zener diodes, and SiC diodes; and bridges, super barrier rectifiers, Schottky rectifiers, Schottky bridge rectifiers, and fast and ultra-fast rectifiers. It also provides avalanche transistors, gate driver transistors, and pre-bias transistors; power management devices, such as AC-DC and DC-DC converters, digital isolators and isolated gate drivers, USB power switches, low dropout, photocoupler, and linear voltage regulators; standard linear devices, such as operational amplifiers and comparators, current monitors, voltage references, and reset generators; LED lighting drivers; audio amplifiers; and sensor products,…
Open the full interactive analysis →
Similar stocks
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.