Astra Microwave Products Limited (ASTRAMICRO) Fair Value & Analysis
Technology · IN · Market cap ₹163B
Fair value as of: Jun 29, 2026
Analysis
Astra Microwave Products Limited (ASTRAMICRO) currently trades at ₹1,722, while our model-based Fair Value estimate is ₹406.49 — implying the stock looks roughly 76.4% overvalued today. We read business quality at 97/100 (high quality), in the Technology 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
Astra Microwave Products Limited designs, develops, manufactures, and sells sub-systems for radio frequency and microwave systems used in defense, space, meteorology, civil, and telecommunication applications in India. It offers radar electronics, including active antenna array units, transmit receive (T/R) modules, wideband T/R modules, solid state power amplifiers, receivers, exciters, central units, antenna and electronic beam forming units, digital receivers, array group and monopulse receivers, waveform generators, and MMIC; and electronic warfare products comprising wideband and ultra-wideband subsystems, antennas, EDLVA and BLI super components, EW simulators, DIFM receivers, front end receivers, up and down convertors, and homodyne receivers. The company also provides strategic electronics and telemetry, such as command guidance units, radio proximity fuse, transponder, phased array-based telemetry tracking system, sub-systems for gimbal based and AESA seeker, and ground and…
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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.