Jinglv Environment Science and Technology Co (001230) Fair Value & Analysis
Basic Materials · CN · Market cap 287B KRW
Analysis
Jinglv Environment Science and Technology Co (001230) currently trades at 1,740 KRW, while our model-based Fair Value estimate is 2,727 KRW — implying the stock looks roughly 56.7% undervalued today. We read business quality at 86/100 (high quality), in the Basic Materials 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
Jinglv Environment Science and Technology Co., Ltd. engages in the research, development, manufacture, sale, and service of sanitation products. It offers smart sanitation equipment; smart sanitation management platform; and other cleaning products. The company also provides sanitation vehicles, such as compression-type, container detachable, compactor, hoisting, self-dumping, and pure electric compression garbage truck; kitchen waste truck; dust suppression vehicle; road maintenance vehicle; cleaning vehicle; low and high-pressure cleaning vehicle; sweeping vehicle; pure electric sweeper; watering truck; pure electric kitchen waste vehicle; pure electric kitchen waste vehicle; electric closed-type barrel garbage truck; and guardrail cleaning vehicle. In addition, it offers garbage compression station complete equipment, smart mobile garbage compression box, preloading municipal solid waste compaction equipment, and direct pressure garbage compression station complete system equipme…
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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.