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The RealReal (The RealReal) Predictability Rank


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What is The RealReal Predictability Rank?

Not Rated

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.


The RealReal 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

The RealReal Predictability Rank Related Terms

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


The RealReal (The RealReal) Business Description

Traded in Other Exchanges
Address
55 Francisco Street, Suite 400, San Francisco, CA, USA, 94133
The RealReal is the largest luxury resale platform in the U.S., generating $1.8 billion in 2022 gross merchandise volume and addressing a niche (personal luxury resale) that had previously been serviced by inefficient upscale boutiques and local pawn shops. The firm generates revenue via consignment and first-party sales on its online marketplace, and through direct sales across its brick-and-mortar footprint. With a hands-on approach that actively sources inventory and authenticates every item on its platform, The RealReal is able to justify much higher take rates than peers, working out to roughly 35% of net merchandise value, which excludes returns, cancellations, and first-party sales.
Executives
John E Koryl director, officer: Chief Executive Officer 55 FRANCISCO STREET 4TH FLOOR, SAN FRANCISCO CA 94133
Levesque Rati Sahi officer: Chief Operating Officer 55 FRANCISCO, SAN FRANCISCO CA 94133
Robert J Krolik director 873 SANTA CRUZ AVE, SUITE 206, MENLO PARK CA 94025
Luke Thomas Friang officer: Chief Product & Tech Officer 20614 NE 38TH STREET, SAMMAMISH WA 98074
Todd A Suko officer: Chief Legal Officer and Secy. 7251 WEST 4TH STREET, GREELEY CO 80634
Steve Ming Lo officer: VP, Corporate Controller 55 FRANCISCO ST, 6TH FLOOR, SAN FRANCISCO CA 94133
Robert K. Julian officer: Chief Financial Officer C/O SPORTSMAN'S WAREHOUSE, 7035 SOUTH HIGH TECH DRIVE, MIDVALE UT 84047
James R. Miller director 4050 EAST COTTON CENTER BLVD. 6-68, PHOENIX AZ 85040
Julie Wainwright director, officer: CEO, President and Chairperson C/O THE REALREAL, INC., 55 FRANCISCO STREET, SUITE 600, SAN FRANCISCO CA 94133
Arnon Katz officer: Chief Product & Technology Off 3331 VERDUN AVE, SAN MATEO CA 94403
Matt Gustke officer: Chief Financial Officer 55 FRANCISCO ST, 6TH FLOOR, SAN FRANCISCO CA 94133
Karen Katz director
Fredrik Bjork officer: Chief Technology Officer 55 FRANCISCO ST, 6TH FLOOR, SAN FRANCISCO CA 94133
Baird Gilbert L. Iii director 5075 S. SYRACUSE ST., DENVER CO 80237
Michael Andrew Kumin director C/O GREAT HILL PARTNERS, L.P., 200 CLARENDON STREET, 29TH FLOOR, BOSTON MA 02116