High Price Earnings Ratio (Historical)

Returns the highest P/E ratio achieved during a historical period, based on the stock's high price divided by EPS.

Notes

  • Shows peak valuation during the period
  • Useful for understanding valuation range
  • Compare with low P/E for full range
  • High P/E may indicate optimism or overvaluation

Examples

=hf_High_Price_Earnings_Ratio("AAPL", 2023)
Annual data for 2023
=hf_High_Price_Earnings_Ratio("MSFT", 2023, 2)
Q2 2023 data
=hf_High_Price_Earnings_Ratio("GOOGL", "lq")
Last quarter
=hf_High_Price_Earnings_Ratio("TSLA", "ly")
Last year
=hf_High_Price_Earnings_Ratio(A1, B1, C1)
Cell references

When to Use

Valuation range analysis, historical valuation peaks, market sentiment analysis

When NOT to Use

| Need low P/E | hf_Normalized_Low_Price_Earnings_Ratio() | | Need current P/E | PERatio() |

Common Issues & FAQ

Q: What year formats are accepted? A: Use numeric years (2023) or period codes: lq (last quarter), ly (last year), lt (last twelve months), lq-1 (quarter before last).

Q: Why am I getting "NA"? A: The company may not report this metric, or data may not be available for the requested period.

Q: What's the difference between quarterly and TTM? A: Quarter shows one quarter's data. TTM (trailing twelve months) sums the last 4 quarters.

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MarketXLS Excel Add-in Tutorial - How to Use High Price Earnings Ratio (Historical) and Other Financial Formulas
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