Foryou Corporation (002906) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 13.8B CNY
Analysis
Foryou Corporation (002906) currently trades at ¥27.84, while our model-based Fair Value estimate is ¥32.76 — implying the stock looks roughly 17.7% undervalued today. We read business quality at 95/100 (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
Foryou Corporation, together with its subsidiaries, engages in the automotive electronics, precision die casting, precision electronic components, and LED lighting businesses in China and internationally. The company offers in-vehicle infotainment, digital cluster, heads up display, digital rearview mirror, cockpit domain controller, climate controller, wireless charger, around view monitoring, auto parking assistance, blind spot detection, driver monitor system, high-definition cameras, other driver assistance systems, and connected vehicle system services. It also provides automotive key components, precision 3C components, industrial control parts and other products; and product co-development, mold design and manufacturing, precision die casting and machining, surface treatment, assembly, and other one-stop services. Its products are applied in automotive chassis, steering, and engine system; and gearbox, automotive transmission system, smart keys, and EV system, etc. The compan…
Open the full interactive analysis →
Similar stocks
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.