Bajel Projects Limited (BAJEL) Fair Value & Analysis
Utilities · IN · Market cap ₹22.7B
Fair value as of: Jun 29, 2026
Analysis
Bajel Projects Limited (BAJEL) currently trades at ₹195.73, while our model-based Fair Value estimate is ₹80.23 — implying the stock looks roughly 59.0% overvalued today. We read business quality at 93/100 (high quality), in the Utilities 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: medium).
About the company
Bajel Projects Limited engages in the engineering, procurement, and construction (EPC) for power transmission and distribution projects in India and internationally. The company offers turnkey solutions, including engineering, designing, testing, manufacturing, executing, and commissioning of EHV transmission lines; and constructs new infrastructure, as well as the augmentation of existing infrastructure for various power distribution companies and agencies. It also engages in rural/urban electrification; primary distribution substation; and underground cabling activities. In addition, the company designs, manufactures, supplies, and installs monopoles; designs and manufactures a range of transmission, distribution poles, including single poles, twin poles, and special structures, such as cable termination poles, three poles, or quad structures; and tubular substation structures. Further, it provides lattice structure, steel tubular poles, lighting poles and masts; and galvanizing s…
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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.