PT Tira Austenite Tbk (TIRA) Fair Value & Analysis
Industrials · ID · Market cap 306B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Tira Austenite Tbk (TIRA) currently trades at 655.00 IDR, while our model-based Fair Value estimate is 217.39 IDR — implying the stock looks roughly 66.8% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
PT Tira Austenite Tbk engages in the trading and distribution of technical products in Indonesia. It operates through three segments: Trading and Distribution of Technical Products; Welding and Molding Industry; and Distribution of Industrial Gases. The company offers tools, stainless, machinery, and wear resistance steel. It also provides gas packaging and transportation services; gases such as breathing air, helium, anaerobic atmosphere, blood gas, and lung diffusion gas mixtures, as well as special gases comprising analytical instrumentation mixtures, electron capture, FID fuel, leak detection, nuclear counter, chemical process, carbon monoxide, ethylene, methane, propane, sulfur hexafluoride, emission calibration, environmental compliance mixtures, gas mixtures, high purity gas products, hydrocarbon calibration standards, and laser gas mixture; gas installation services; purging for tanks and pipes; hydrostatic tests for steel tubes, and other equipment. In addition, the company…
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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.