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Netflix (NFLX) Predictability Rank


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What is Netflix Predictability Rank?

4.5 (5)

Warren Buffett said many times that the companies he likes are:

1. Simple businesses that he understands
2. that have predictable and proven earnings and
3. with economic moat
4. those can be bought at a reasonable price.

It is hard to quantify "simple businesses that he (Buffett) understands", so we will focus on the other three characteristics instead. In GuruFocus Research: What worked in the market from 1998-2008? Part I: Introduction of Predictability Rank, we will show that the businesses that have predictable and proven earnings are usually also simple businesses that an average person could understand.

GuruFocus conducted a back test study of Warren Buffett's strategy of "buying good companies at fair prices" for the years from 1998-2008.


Netflix Predictability Rank Calculation

In our database there are 2403 stocks that have been traded from Jan. 2, 1998 to Aug. 31, 2008. We have the complete 10-year financial data and trading prices of these companies for this period. We rank the predictability of these companies based on the consistency of their revenue per share and EBITDA (earning before interest, tax, depreciation and amortization) per share over the past ten fiscal years, and study the correlation between the stock performances and the predictability of the business.

Our study may be subject to these biases and assumptions:

Dividend yields are not counted for investment returns
Effects of price changes due to spin-offs may not be fully adjusted
Study is subjected to survivorship bias due to de-listing, bankruptcy, LBO, M&A, etc.

The correlation between business predictability and investment returns of a company is showed below.

Correlation Between Business Predictability and Investment Returns

PredictablesNon-PredictableAll stocks
Total Number of stocks57018332403
Total Lost Money61830891
Total Lost More Than 50%18412430
Total Lost More Than 90%48690
Average Gain260.6%100.0%138.1%
Median Gain150.0%13.0%39.0%
Maximum Gain2852.0%11483.0%11483.0%
Maximum Loss-100.0%-100.0%-100.0%
Annualized Average Gain12.7%6.7%8.4%
Annualized Median Gain8.9%1.1%3.1%


















For the 570 predictable companies, we have seen strong correlation between the predictability of businesses and the stock performances over the past 10 years, regardless of the valuation of business at 1998. Accordingly, we have ranked the business predictability from 5-star to 1-star, as shown in this table.

Predictability Rank5-Star4.5-Star4-Star3.5-Star3-Star2.5-Star2-Star1-Star (non-predictable)Average among all
% Out of All 2403 Stocks 3.3% 2.9% 3.7% 3.3% 3.3% 3.7% 3.3% 76.3% 100%
% that are in Loss (10y) 3% 10% 8% 9% 11% 18% 16% 45% 37%
Average Gain (10y) 364.6% 330.9% 278.0% 235.1% 243.5% 227.8% 154.8% 100.0% 138.1%
Median Gain (10y) 238.5% 193.5% 171.0% 159.0% 132.5% 113.5% 87.0% 13.0% 39.0%
Maximum Gainer 2228.0% 2547.0% 2452.0% 2852.0% 2432.0% 1892.0% 1807.0% 11483.0% 11483.0%
Maximum Loser -82.0% -53.0% -67.0% -100.0% -83.0% -100.0% -78.0% -100.0% -100.0%
Annualized Average Gain 15.4% 14.6% 13.2% 12.0% 12.2% 11.7% 9.1% 6.7% 8.4%
Annualized Median Gain 12.1% 10.6% 9.8% 9.3% 8.2% 7.3% 6.0% 1.1% 3.1%
















For detailed information about each predictability rank, please go to GuruFocus Research: What worked in the market from 1998-2008? Part I: Introduction of Predictability Rank

Also read:

Part II: What worked in the market from 1998-2008? Part II: Role of Valuations
Part III: Intrinsic Value, Discounted Cash Flow and Margin of Safety

Netflix Predictability Rank Related Terms

Thank you for viewing the detailed overview of Netflix's Predictability Rank provided by GuruFocus.com. Please click on the following links to see related term pages.


Netflix (NFLX) Business Description

Address
121 Albright Way, Los Gatos, CA, USA, 95032
Netflix's relatively simple business model involves only one business, its streaming service. It has the biggest television entertainment subscriber base in both the United States and the collective international market, with almost 250 million subscribers globally. Netflix has exposure to nearly the entire global population outside of China. The firm has traditionally avoided live programming or sports content, instead focusing on on-demand access to episodic television, movies, and documentaries. The firm recently began introducing ad-supported subscription plans, giving the firm exposure to the advertising market in addition to the subscription fees that have historically accounted for nearly all its revenue.
Executives
Reed Hastings director, 10 percent owner, officer: CEO, other: CEO 121 ALBRIGHT WAY, LOS GATOS CA 95032
Ann Mather director
Gregory K Peters officer: Intl. Development Officer C/O NETFLIX, INC., 121 ALBRIGHT WAY, LOS GATOS CA 95032
Richard N Barton director C/O IAC, 152 WEST 57TH STREET, NEW YORK NY 10019
David A Hyman officer: General Counsel C/O NETFLIX, INC., 121 ALBRIGHT WAY, LOS GATOS CA 95032
Theodore A Sarandos officer: Chief Content Officer C/O NETFLIX, INC, 121 ALBRIGHT WAY, LOS GATOS CA 95032
Jay C Hoag director 250 MIDDLEFIELD ROAD, MENLO PARK CA 94025
Timothy M Haley director 3000 SAND HILL ROAD, 2-290, MENLO PARK CA 94025
Jeffrey William Karbowski officer: Chief Accounting Officer 121 ALBRIGHT WAY, LOS GATOS CA 95032
Kenneth A Barker officer: Chief Accounting Officer C/O ELECTRONIC ARTS INC., 209 REDWOOD SHORES PARKWAY, REDWOOD CITY CA 94065
Dicus Marian Lee officer: Chief Marketing Officer 526 WEST 111TH STREET, APARTMENT 3C, NEW YORK NY 10025
Meabe Sergio Ezama officer: Chief Talent Officer 59 HILLSIDE ROAD, GREENWICH CT 06830
Jessica Neal officer: Chief Talent Officer 100 WINCHESTER CIRCLE, LOS GATOS CA 95032
Strive Masiyiwa director 265 FRANKLIN STREET, BOSTON MA 02110
John Bozoma Saint officer: Chief Marketing Officer 9255 SUNSET BLVD 2ND FLOOR, LOS ANGELES CA 90069

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