Manz AG (MANZF) Fair Value & Analysis
Technology · US · Market cap $578K
Fair value as of: Jun 26, 2026
Analysis
Manz AG (MANZF) currently trades at $0.0564, while our model-based Fair Value estimate is $0.0531 — implying the stock looks roughly 5.9% overvalued today. We read business quality at 89/100 (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: low).
About the company
Manz AG, together with its subsidiaries, operates as a high-tech mechanical engineering company that provides production equipment in Germany, rest of Europe, the United States, Taiwan, China, rest of Asia, and internationally. The company operates in two segments: Mobility & Battery Solutions and Industry Solutions. It provides lithium-ion battery cells, modules, and systems, as well as capacitors. The company offers production, assembly, and handling equipment for the manufacture of displays for flat screens, touch sensors, printed circuit boards, and chip carriers, as well as smartphones, tablet computers, notebooks, wearables, and other consumer electronics. In addition, it engages in the provision of contract manufacturing, simulation and factory planning, process and prototype development, customer training, and after-sales services; and solutions utilizing technologies comprising automation, inspection systems, laser processes, wet chemistry, and digital printing to the autom…
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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.