Commercial Syn Bags Limited (COMSYN) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹6.5B
Fair value as of: Jun 29, 2026
Analysis
Commercial Syn Bags Limited (COMSYN) currently trades at ₹162.13, while our model-based Fair Value estimate is ₹124.25 — implying the stock looks roughly 23.4% 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
Commercial Syn Bags Limited, together with its subsidiary, Comsyn India Private Limited, engages in the manufacturing and exporting of various packaging solutions in India and internationally. It operates through two segments, Manufacturing and Trading. The company offers flexible intermediate bulk container (FIBC) comprising tunnel lift, builder, circular, skip, baffle, UN, silo, single-loop, two-loop, BOPP laminated, type C, and ventilated FIBC bags; HDPE/PP bags; HDPE/PP fabric; and tarpaulin under the TIGER TARPAULIN brand name. It also provides ground cover, pond liners, mulch films, laminates, vermi beds, and flexible pipes under the COMSYN SWAJAL brand name. In addition, the company offers geotextiles, ground cover, nets, and other technical textiles products, as well as various other products under the COMSYN brand name. Further, it provides container, planter, and waste bags; geomembrane and apron covers; and courier parcel large delivery and shopping bags. Additionally, th…
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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.