PT Arita Prima Indonesia Tbk (APII) Fair Value & Analysis
Industrials · ID · Market cap 180B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Arita Prima Indonesia Tbk (APII) currently trades at 182.00 IDR, while our model-based Fair Value estimate is 301.59 IDR — implying the stock looks roughly 65.7% undervalued today. We read business quality at 89/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
PT Arita Prima Indonesia Tbk engages in the export and import trading of metal goods in Indonesia. It operates through Valve, Fitting, Instrument, and Others segments. The company offers CCTV, control valve, firefighting products, fitting flange, flowmeter, valve and general product, pressure and temperature measurement, sanitary, thermoplastic, and water pump. It also engages in construction services; repair services and equipment installation; architectural and engineering services; water management; and manufactures and trades in valve and other products. The company was founded in 2000 and is headquartered in Jakarta Utara, Indonesia. PT Arita Prima Indonesia Tbk is a subsidiary of PT Arita Global.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is PT Arita Prima Indonesia Tbk (APII) undervalued?
What is the fair value of APII?
What is the quality score of APII?
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.