Niterra Co (NGKSF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $5.8B
Fair value as of: Jun 24, 2026
Analysis
Niterra Co (NGKSF) currently trades at $43.67, while our model-based Fair Value estimate is $64.32 — implying the stock looks roughly 47.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.
About the company
Niterra Co., Ltd., together with its subsidiaries, manufactures and sells spark plugs and related products for internal-combustion engines and technical ceramics in Japan and internationally. The company offers spark plugs, including plugs for aftermarket and original equipment, igniter plugs, and resistor cables and covers; glow plugs comprising ceramic and metal type glow plugs, and glow controllers; and oxygen, NOx, temperature, and knock sensors. It also provides semiconductor packages used in all kinds of products, including smartphones, cameras, and cars, as well as manufacturing parts for semiconductors, and medical products. In addition, the company offers fine ceramics, balls for bearings, piezoelectric ceramics, other industrial ceramics such as plungers for pumps and ceramic protective plates, including wear-resistant parts, ultrasonic transducers and sensors, products for semiconductor manufacturing equipment, electric equipment products, and other ceramic products. Furt…
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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.