Historical valuation charts

[karlmarx]

When looking at a stock's valuations, one of the metrics that I like to refer to is its p/e or p/b ratio, over the past 5-10 years.

I have been computing this manually, and it is tedious. I reckon that these are likely available to those with a Bloomberg terminal/subscription. But I was wondering if there is somewhere that such data can be found, without cost.

If anyone has anything to share, I will be most grateful. 

[dzwm87]

National Library has access to a Bloomberg terminal. Historical P/E or P/B tends to be "static" so you can just run it off an excel of all the public companies.

[opmi]

the NLB bloomberg cannot print or email out the screenshot one. Still need to transcribe data manually.

[soros]

For HK Stocks , the aastocks.com website has information on p/e ratio for last 5 years for listed stocks under " earnings summary " display which can be accessed by clicking on "fundamentals".

[karlmarx]

Thank you all, for your inputs. Guess I will have to continue doing it manually for now.

[Ray168]

Thank you all, for your inputs. Guess I will have to continue doing it manually for now.

I also doing it manually on weekly basis. 

However, some security house does have the PE and PB chart for stocks under their coverage. DBS Vickers is one of them.

[lanoitar]

I dunno how accurate it is, but Morningstar has what you need. This is a 10-year table for United Engineers:

https://www.morningstar.com/stocks/xses/u04/valuation

Just replace the "u04" (stock code for United Engr) in the URL with the stock code you desire.

[karlmarx]

I dunno how accurate it is, but Morningstar has what you need. This is a 10-year table for United Engineers:

https://www.morningstar.com/stocks/xses/u04/valuation

Just replace the "u04" (stock code for United Engr) in the URL with the stock code you desire.

I believe it is calculated based on closing price for the year. Will still have to make reference to price history to check the valuation during major corrections, since this is not likely to be captured by the 10 data points. 

In any case, this is a good find. And useful to cheapos like myself. Thank you.