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Ping An Insurance (Group) Company of China, Ltd.

Ping An Insurance (Group) Company of China, PEG Ratio

Ping An Insurance (Group) Company of China, (PIAIF) has a PEG ratio of 9.33, below the Finance sector average of 24.99.

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PEG Ratio

9.33

PEG Ratio

9.33

The PEG ratio measures a stock's valuation relative to its earnings growth rate. A PEG ratio below 1.0 may indicate that the stock is undervalued relative to its growth potential.

PEG Ratio (Comparison Companies)

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PEG Ratio History

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PEG Ratio Comparison

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Ping An Insurance (Group) Company of China, (PIAIF) FAQ

Ping An Insurance (Group) Company of China,'s peg ratio stands at 9.33. That is below the Finance sector average of 24.99. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

Ping An Insurance (Group) Company of China, sits lower the Finance benchmark (24.99) with a PEG ratio of 9.33. That is roughly 62.7% below the sector mean. Peer context matters because what looks expensive or cheap in absolute terms can be normal for the sector.

Whether 9.33 is attractive depends on Ping An Insurance (Group) Company of China,'s earnings outlook, competitive position, and how peers are valued. Investors typically ask: is growth accelerating, are margins stable, and is the multiple expanding or compressing over time? The history and comparison charts below are built for those checks.

The history chart shows how Ping An Insurance (Group) Company of China,'s PEG ratio evolved across reporting periods, while the comparison chart places PIAIF next to similar companies. Use both: a rising metric that still lags peers tells a different story than a rising metric that already leads the group. Growth charts, when available, highlight acceleration or slowdown.

Yes — within Finance, PEG ratio is commonly used to spot outliers. Ping An Insurance (Group) Company of China,'s reading of 9.33 (sector avg 24.99) is a starting point; confirm whether differences come from growth, margins, accounting choices, or one-time items before treating an outlier as a buy or sell signal.