Autoline Industries Limited (AUTOIND) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹4.0B
Fair value as of: Jun 29, 2026
Analysis
Autoline Industries Limited (AUTOIND) currently trades at ₹88.08, while our model-based Fair Value estimate is ₹144.24 — implying the stock looks roughly 63.8% undervalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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
Autoline Industries Limited manufactures and sells sheet metal stampings, welded assemblies, and molds for the automotive industries in India. The company offers small mechanical assemblies, including pedal boxes, parking brakes, door hinges, cab stay and cab tilt assemblies, and battery brackets; exhaust systems; medium stamp parts/assemblies; large stamp assemblies; non-automotive assemblies; hospital beds and steel furniture; and sub-assemblies and assemblies, foot control modules, load body, tubular structures, fabrications, etc. It also provides design and engineering services, such as product engineering, product re-engineering, sheet metal-BIW design and engineering, and jigs and fixture services, as well as reverse engineering and legacy data conversion. In addition, the company offers manufacturing services comprising tool room, and prototype and mass manufacturing services, as well as contract engineering manpower for onsite and offsite deployment. Further, it provides eng…
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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.