Lindsay Corporation (LNN) Fair Value & Analysis
Industrials · US · Market cap $1.2B
Analysis
Lindsay Corporation (LNN) currently trades at $117.42, while our model-based Fair Value estimate is $144.16 — implying the stock looks roughly 22.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Lindsay Corporation, together with its subsidiaries, provides water management and road infrastructure products and services in the United States and internationally. It operates through two segments, Irrigation and Infrastructure. The Irrigation segment manufactures and markets center pivot, lateral move irrigation systems, and irrigation controls under the Zimmatic brand; hose reel travelers under the Perrot brand; and chemical injection systems, variable rate irrigation systems, flow meters, weather stations, soil moisture sensors, and remote monitoring and control systems. It also offers repair and replacement parts for its irrigation systems and controls, and diameter steel tubing; global positioning system positioning and guidance, variable rate irrigation, wireless irrigation management, machine-to-machine communication technology solutions and mobile device applications; and irrigation scheduling technology solutions; and industrial Internet of Things technology solutions, d…
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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.