Tianneng Battery Group (688819) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 23.8B CNY
Analysis
Tianneng Battery Group (688819) currently trades at ¥24.01, while our model-based Fair Value estimate is ¥36.00 — implying the stock looks roughly 49.9% undervalued today. We read business quality at 94/100 (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
Tianneng Battery Group Co., Ltd. researches, develops, produces, and sells electric special vehicle and new energy vehicle power batteries, automotive start-stop batteries, energy storage batteries, 3C batteries, backup batteries, and fuel cells in China and internationally. The company offers lead-acid battery, such as traction, energy storage, and SLI battery; lithium-ion battery, including lithium-ion battery cell, motive and traction battery, and reserve/energy storage; and hybrid energy storage system and BESS container. It offers light electric vehicle battery, SLI battery, back up power/reserve battery, traction battery, and battery recycling solutions, as well as sustainable energy storage solutions comprising household, industrial and commercial, and smart microgrid energy storage solutions. In addition, the company offers sodium, hydrogen electric, solid-state, and new materials solutions, as well as value-added services. The company was founded in 1986 and is headquartere…
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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.