Dimensionless Financial Ratios: a continuation of Part I

some Stock Comparisons

In Part I we considered the standard P/E and PEG Ratios, namely:
P/E Ratio = (stock Price) / (annual Earnings per share)   which is measured in years
PEG Ratio = (P/E Ratio) / (Earnings Growth Rate)   which is measured in years2
... and various modifications.

Here we'd like to compare a few stocks, using the modifications we introduced, namely:
the M/E Ratio and the dimensionless ratios gPEG, gNUM and gRANK, where:

    M/E Ratio = EV / EBITDA   years
            EV = Enterprise Value = (Mkt Cap) + (Debt) - (Cash)
            EBITDA = Earnings Before Income, Taxes, Depreciation and Amortization


    gPEG = PEG(stock) / PEG(index)

    gNUM = PEG * Volatility2

    gRANK = M/E * Volatility2 / (Earnings Growth Rate)


>Can you find the data?
Not easily  
>How about starting with the DOW 30?
I'll give it a try. First we need the PEG of the DOW (to compute gPEG), using:
    PEG(DOW) = (M1+M2+ ... +M30) / ( r1E1+ r2E2+ ... + r30E30)   years2
    where the Ms are the market caps (in dollars) and
    the rs are the earnings growth rates (per year) and
    the Es are the total company earnings (in dollars per year)

We get (I think!):
  • M1+M2+ ... +M30 = 3031.6 billions of dollars
  • r1E1+ r2E2+ ... + r30E30 = 9.212 billions of dollars per year2
  • Then PEG(DOW) = 3031.6 / 9.2121 = 329.1   year2
>That's one big PEG(DOW), eh?
Yeah, maybe because we've included all those negative earnings ... and that'd make that 9.212B pretty small
Then, for the 30 components of the DOW, we'd get (for sometime-in-December, 2003):
Stock P/E PEG M/E 1000gPEG gNUM gRANK Stock P/E PEG M/E 1000gPEG gNUM gRANK
GE20.91.924.15.613805607 MSFT28.62.217.46.750841443
WMT27.31.714.35.21374562 C15.91.2??3.5886??
XOM13.61.96.55.7488-66 INTC50.22.730.78.312096962
IBM23.42.113.46.42808-331 JNJ21.91.412.24.4793410
PG24.82.014.06.12163789 KO26.72.418.77.31540-520
MO12.01.38.23.81603351 MRK14.02.09.46.01716-4566
HD20.61.412.94.22042935 SBC10.47.55.822.88983-316
JPM16.61.2??3.52132?? HPQ27.21.517.24.44778-175
MMM28.02.214.66.6930164 AXP20.51.515.64.61308129
DIS35.01.824.15.32120?? DD60.33.020.49.12071-112
UTX19.21.810.05.62243794 MCD32.62.212.66.82398-296
BA183.34.017.712.26596-353 AA32.22.012.06.23326-365
CAT25.02.315.36.82626-19847 HONN/A1.9-201.75.85495??
GM6.41.419.94.12042159 IP139.77.113.321.57316??
T17.7-0.53.5-1.5-2026-54 EK19.12.36.46.9470414
>Why 1000gPEG?
Because we're dividing by that big PEG(DOW) which makes gPEG uncomfortably small.
>But the "best" PEG is also the "best" gPEG!
Uh ... yes, it is, isn't it?
>It's so confusing! All those ??
Some of the data I haven't found, yet (hence the ??) and some Earnings and Earnings Growth were negative and ...
>It's confusing! We're looking for the smallest value ... but which one?
Take your pick. Here's the "best", ignoring those "??" and negative values:
Rating P/E PEG M/E gPEG gNUM gRANK
Best GM C T C XOM EK

>So are you happy?
I'm not convinced that the numbers are correct ... so I'm not happy (yet).
>The numbers for GE and MSFT don't even agree with Part I !
Yeah ... I'm still working on that ... but the numbers change from day to day, eh?
>So what's the "best"? I mean, what should I buy?
I'll let you know in a few months
>Haven't you tried to pick winners before? I remember your gummy bears.
Yeah, don't remind me. That was 2 or 3 years ago. I picked EK (Eastman Kodak) and T (AT&T). Since then they've both had annualized returns of about -20%.
>You're not very good at this, are you?
Don't remind me.
There's a .ZIPd spreadsheet ... such as it is!
I wouldn't trust it, but it's fun to play with and, of course, there's a money-back guarantee
Just RIGHT-click
here and Save Target ... file.

It'll compare two stocks, giving something like this:

>Volatility? Where would I get those?
Uh .. you could try the spreadsheet described here

Here are a few more (from that spreadsheet), as of Dec 10, 2003: