Ningbo Tianlong Electronics Co (603266) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 3.5B CNY
Fair value as of: Jul 11, 2026
From 26 valuation models · updated 30 days ago
Fair value updated Jul 11, 2026, revised from ¥9.37 to ¥9.07 (−3.2%) since Jun 24, 2026. Share price −3.1% over the past month.
A solid business, but screening 43% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (¥11.34). The favourable scenario is already priced in.
- Solid but not exceptional quality (62/100) and above fair value, neither a clear bargain nor a standout compounder.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 11, 2026.
How to read this chart
60‑month range ¥9.06 – ¥43.59 · fair‑value band ¥6.80 – ¥11.34 · the ¥15.85 price screens above the ¥9.07 fair value. Dashed = 300-day average. As of Jul 11, 2026.
Analysis
Ningbo Tianlong Electronics Co (603266) currently trades at ¥15.85, while our model-based Fair Value estimate is ¥9.07, implying the stock looks roughly 42.8% overvalued today. The Quality Score stands at 62/100 (solid quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium, the entry price still matters most (evidence: high).
Over the trailing twelve months, Ningbo Tianlong Electronics Co generated revenue of 1.3B CNY at a net margin of 8.2%. Revenue grew 5.5% year over year. It earns a return on equity of 7.0%. The balance sheet holds a net cash position of 159M CNY. Fundamentals as of Jul 11, 2026
Our scenario range runs from ¥6.80 (bear case) to ¥11.34 (bull case); at ¥15.85, the current price sits above that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 43% below its 52-week high, currently below its 200-day average. For context, the median of 10 Consumer Cyclical peers we cover trades at -44% fair-value upside, at -43%, 603266 screens cheaper than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 26 models by family
Widest divergence: DCF Models (¥10.78) versus Dividend Discount (¥2.37). Highest evidence: Residual Income (76).
Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 11, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 62 · Market factors (momentum, volatility) 32
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Ningbo Tianlong Electronics Co., Ltd. engages in the production and sale of precision molds, injection molding, and automated assembly solutions in China.
Full company description
Ningbo Tianlong Electronics Co., Ltd. engages in the production and sale of precision molds, injection molding, and automated assembly solutions in China. The company offers automotive components, such as electronic water pumps, actuator motors, electronic controller systems, battery systems, and IGBT function modules; and door, engine, car light, fuel tank, heat exchange, central control instrument, and sunroof systems. It also provides circuit breaker housing, junction boxes, and switch panels; and commodity mold products. The company was founded in 2000 and is based in Ningbo, China.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Ningbo Tianlong Electronics Co reported revenue of ¥1.3B in FY2025 versus ¥1.2B in FY2021, a compound +2.8%/yr. Reported net income was ¥106M in FY2025, compounding +2.0%/yr from FY2021.
603266 screens 43% overvalued. Compare with Hyundai Mobis Co →
Peer Group
Auto Parts · 642 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Auto Parts median · lower = cheaper
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
VALUE 0: the price sits above our fair-value range.
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Auto Parts stocks, each showing price versus our Fair Value estimate (as of Jul 11, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Hyundai Mobis Co 012330 | 482,000 KRW | 678,420 KRW | +41% |
| Magna International Inc MGAN | 1,122 MXN | 1,172 MXN | +4% |
| Samvardhana Motherson International Limited MOTHERSON | ₹144.17 | ₹80.63 | -44% |
| Bosch Limited BOSCHLTD | ₹41,110 | ₹14,004 | -66% |
| Bharat Forge Limited BHARATFORG | ₹2,117 | ₹441.74 | -79% |
| Uno Minda Limited UNOMINDA | ₹1,158 | ₹426.57 | -63% |
| Schaeffler India Limited SCHAEFFLER | ₹4,135 | ₹1,412 | -66% |
| Hankook Tire & Technology Co 161390 | 73,600 KRW | 196,479 KRW | +167% |
| MRF Limited MRF | ₹131,025 | ₹125,849 | -4% |
| Sona BLW Precision Forgings Limited SONACOMS | ₹792.00 | ₹207.06 | -74% |
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Frequently asked questions
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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.
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