Jiangsu Pacific Precision Forging Co (300258) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 7.1B CNY
Fair value as of: Jul 9, 2026
From 17 valuation models · updated 32 days ago
Share price −7.7% over the past month.
Below-average quality, and screening another 54% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (¥5.61). The favourable scenario is already priced in.
- Weak quality (31/100) and above fair value at the same time, the margin of safety is missing on both counts.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 9, 2026.
How to read this chart
60‑month range ¥6.77 – ¥17.27 · fair‑value band ¥3.46 – ¥5.61 · the ¥10.23 price screens above the ¥4.76 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Jul 9, 2026.
Analysis
Jiangsu Pacific Precision Forging Co (300258) currently trades at ¥10.23, while our model-based Fair Value estimate is ¥4.76, implying the stock looks roughly 53.5% overvalued today. The Quality Score stands at 31/100 (below-average 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, Jiangsu Pacific Precision Forging Co generated revenue of 2.0B CNY at a net margin of 4.6%. Revenue declined 12.7% year over year. It earns a return on equity of 2.1%. Net debt stands at 522M CNY. Fundamentals as of Jul 9, 2026
Our scenario range runs from ¥3.46 (bear case) to ¥5.61 (bull case); at ¥10.23, 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 -54%, 300258 screens richer 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 17 models by family
Widest divergence: Asset-Based (¥5.41) versus Dividend Discount (¥2.12). Highest evidence: Residual Income (76).
Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 9, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 36 · Market factors (momentum, volatility) 25
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
Jiangsu Pacific Precision Forging Co., Ltd. researches, develops, produces, and sells auto forging gears and other precision forgings for vehicle manufacturers and powertrain suppliers in China.
Full company description
Jiangsu Pacific Precision Forging Co., Ltd. researches, develops, produces, and sells auto forging gears and other precision forgings for vehicle manufacturers and powertrain suppliers in China. It primarily offers automotive transmission combined gears and shaft parts, electronic differential lock gear, synchronizer ring gear, parking gears motor shafts and differential assemblies for new energy vehicles and high-end agricultural machinery, as well as automotive differential bevel gears. The company was founded in 1992 and is based in Taizhou, China.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Jiangsu Pacific Precision Forging Co reported revenue of ¥2.0B in FY2025 versus ¥1.4B in FY2021, a compound +9.4%/yr. Reported net income was ¥129M in FY2025, compounding −7.0%/yr from FY2021.
300258 screens 54% 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 9, 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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