Shanghai M&G Stationery Inc (603899) Fair Value & Analysis
Industrials · CN · Market cap 20.7B CNY
Analysis
Shanghai M&G Stationery Inc (603899) currently trades at ¥21.47, while our model-based Fair Value estimate is ¥30.05 — implying the stock looks roughly 40.0% undervalued today. We read business quality at 90/100 (high quality), in the Industrials 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
Shanghai M&G Stationery Inc. provides writing tools, student and office stationery, and other related products in China and internationally. The company offers student stationery comprising erasers; pencil sharpener; sliding eraser pen; aluminum alloy and colored soft ruler; geometry set squares; sharpeners; and metal and aluminum alloy compass set. It also provides wooden, wooden free, and colored pencils; washable colors and marker pen; acrylic paints and markers; water and oil pastel colors; and paint brushes. In addition, it offers office stationery, including whiteboard markers and erasers; cutter blades; scissors; knives; glue sticks; rubber rings; paper and binder clips; push pins; magnetic buttons; PVC and EVA zipper bags; button file bags; calculators; pen holders; staplers; staples; steel punches; staple removers; metal book end; and ball pens. Further, it provides handwriting tools, such as gel and liquid roller pens, pencil leads, and highlighter displays; correction tap…
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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.