Divgi TorqTransfer Systems Limited (DIVGIITTS) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹26.1B
Fair value as of: Jun 29, 2026
Analysis
Divgi TorqTransfer Systems Limited (DIVGIITTS) currently trades at ₹855.25, while our model-based Fair Value estimate is ₹335.72 — implying the stock looks roughly 60.7% overvalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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
Divgi TorqTransfer Systems Limited engages in the manufacture and sale of transfer cases, automatic locking hubs, and synchronizers and components to automotive original equipment manufacturers and other customers. It offers 4WD transfer cases, including mechanical shift, electrical shift-on-the-Fly, torque on demand, and dual-offset transfer cases; NexTrac Interactive Torque Coupler that senses the torque requirement and transfers the necessary torque to the rear wheels; manual, dual clutch, and electric vehicle transmission components; single, dual, and triple cone synchronizers; and transmission gears, clutch body rings, shafts, and electric vehicle transmission components. It serves customers in the automotive industry, including passenger vehicles, utility vehicles, commercial vehicles, and agricultural machinery. It operates in India, the United States, China, Mexico, the United Kingdom, Germany, Sweden, Thailand, South Korea, and internationally. The company was incorporated …
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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.