AstroNova, Inc (ALOT) Fair Value & Analysis
Technology · US · Market cap $219M
Fair value as of: Jun 24, 2026
Analysis
AstroNova, Inc (ALOT) currently trades at $28.40, while our model-based Fair Value estimate is $13.50 — implying the stock looks roughly 52.5% 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
AstroNova, Inc. designs, develops, manufactures, and distributes specialty printers, and data acquisition and analysis systems in the United States, Europe, Canada, Asia, Central and South America, and internationally. The company offers color label tabletop printers and light commercial label printers, direct-to-package printers, high-volume presses, specialty original equipment manufacturer printing systems, label printers, envelope and packaging printing, data acquisition recorders, as well as label, and tag and other supplies, including ink, toner, and thermal transfer ribbons under the QuickLabel, TrojanLabel, GetLabels, Astro Machine, and MTEX brands; and provides on-site and remote service, spare parts, and various service contracts; training and support services; and develops and licenses software programs to design and manage labels, print images, manage and operate printers. It also provides airborne printer products, such as ToughWriter series used in the flight decks of …
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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.