Nanjing TDH Technology Co (301378) Fair Value & Analysis
Technology · CN · Market cap 2.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Nanjing TDH Technology Co (301378) currently trades at ¥27.20, while our model-based Fair Value estimate is ¥38.06 — implying the stock looks roughly 39.9% undervalued today. We read business quality at 93/100 (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: low) — always confirm before acting.
About the company
Nanjing TDH Technology Co.,Ltd. provides products and solutions in the field of judicial informatization primarily in China. It offers Digital Court, a smart court application ecosystem that includes referee intelligent assistance, digital audit and supervision, falcon execution intelligent assist, fusion cloud court, finalization management system, and one-stop integrated delivery service solutions, as well as refined supervision solutions for case funds; and Public Security and Legal System that provides digital, data-driven, and intelligent technologies and services to police officers, legal review personnel, and bureau leaders. The company also provides Political and Legal Affairs Comprehensive Management, which offers intelligent assistance to staff of comprehensive governance centers in preventing and resolving social conflicts and disputes, and social security risks; and Discipline Inspection and Supervisory Commission that integrates various business processes of discipline …
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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.