Rongcheer Industrial Technology (Suzhou) Co (301360) Fair Value & Analysis
Industrials · CN · Market cap 5.4B CNY
Fair value as of: Aug 13, 2026
From 24 valuation models · updated today
Share price −8.4% over the past month.
A solid business, but screening 76% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (¥15.99). The favourable scenario is already priced in.
- Solid but not exceptional quality (55/100) and above fair value, neither a clear bargain nor a standout compounder.
Price vs Fair Value (3 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 13, 2026.
How to read this chart
40‑month range ¥28.51 – ¥89.15 · fair‑value band ¥9.60 – ¥15.99 · the ¥52.50 price screens above the ¥12.79 fair value. Dashed = 300-day average. As of Aug 13, 2026.
Analysis
Rongcheer Industrial Technology (Suzhou) Co (301360) currently trades at ¥52.50, while our model-based Fair Value estimate is ¥12.79, implying the stock looks roughly 75.6% overvalued today. The Quality Score stands at 55/100 (solid quality), in the Industrials 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, Rongcheer Industrial Technology (Suzhou) Co generated revenue of 477M CNY at a net margin of 10.4%. Revenue grew 165.8% year over year. It earns a return on equity of 4.2%. The stock trades on a trailing P/E of 73.9. Fundamentals as of Aug 13, 2026
Our scenario range runs from ¥9.60 (bear case) to ¥15.99 (bull case); at ¥52.50, 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 40% below its 52-week high and 55% above its 52-week low, currently below its 200-day average. For context, the median of 10 Industrials peers we cover trades at -46% fair-value upside, at -76%, 301360 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 24 models by family
Widest divergence: DCF Models (¥19.59) versus Earnings-Based (¥3.84). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 13, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 58 · Market factors (momentum, volatility) 30
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
Rongcheer Industrial Technology (Suzhou) Co., Ltd. engages in the research, development, production, and sale of intelligent equipment and fixture in China and internationally.
Full company description
Rongcheer Industrial Technology (Suzhou) Co., Ltd. engages in the research, development, production, and sale of intelligent equipment and fixture in China and internationally. It offers coil module AOI, dim/cos machine AOI, and VCM machine AOI for metrology applications; AL CaseAOI, Finish cell AOI, and FPC Machine AVI for inspection; capacitance function test machine GCC, function test machine LCR, LCR and OS and click ratio LCR machine; and battery assembly line, fan assembly equipment, and ring optical adhesive assembly equipment. The company was founded in 2011 and is headquartered in Suzhou, China.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Rongcheer Industrial Technology (Suzhou) Co reported revenue of ¥423M in FY2025 versus ¥291M in FY2021, a compound +9.8%/yr. Reported net income was ¥42.5M in FY2025, compounding −7.3%/yr from FY2021.
301360 screens 76% overvalued. Compare with GE Vernova Inc →
Peer Group
Specialty Industrial Machinery · 807 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 Specialty Industrial Machinery 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 Specialty Industrial Machinery stocks, each showing price versus our Fair Value estimate (as of Aug 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| GE Vernova Inc 1GEV | €899.80 | €186.93 | -79% |
| 1SIE 1SIE | €281.75 | €91.93 | -67% |
| SMNS SMNS | C$31.76 | C$22.75 | -28% |
| Atlas Copco AB ATCOA | kr 210.00 | kr 112.59 | -46% |
| Sandvik AB SAND | kr 358.60 | kr 193.01 | -46% |
| Zhejiang Sanhua Intelligent Controls Co 002050 | ¥39.17 | ¥22.68 | -42% |
| NARI Technology Co 600406 | ¥24.06 | ¥18.71 | -22% |
| ABB India Limited ABB | ₹7,700 | ₹1,322 | -83% |
| Cummins India Limited CUMMINSIND | ₹5,315 | ₹1,355 | -75% |
| Bharat Heavy Electricals Limited BHEL | ₹420.00 | ₹96.51 | -77% |
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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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