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Powernet Technologies Corporation (037030) Fair Value & Analysis

Technology · KR · Market cap 138B KRW

Price4,320 KRW
Fair Value10,369 KRW
Upside+140.0%
Quality80/100
Evidence: Medium Range 6,332 KRW – 15,358 KRW

Fair value as of: Jun 25, 2026

Analysis

Powernet Technologies Corporation (037030) currently trades at 4,320 KRW, while our model-based Fair Value estimate is 10,369 KRW — implying the stock looks roughly 140.0% undervalued today. We read business quality at 80/100 (high quality), in the Technology 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

Powernet Technologies Corporation manufactures and sells SMPS products. The company offers adaptors; grid-connected photovoltaic invertors, ESS PCS, and batteries; LED lights; and automotive products, such as controllers, motors, and sunroofs. It also provides components for appliances. The company was founded in 1988 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is Powernet Technologies Corporation (037030) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 10,369 KRW versus a price of 4,320 KRW — about +140% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 037030?
Our 21-model fair value for Powernet Technologies Corporation is 10,369 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 4,320 KRW.
What is the quality score of 037030?
Powernet Technologies Corporation has a Quality Score of 80/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.