O'Reilly Automotive (ORLY)

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

• Compared with the benchmark SPY (68.1%) in the period of the last 5 years, the total return of 244% of O'Reilly Automotive is larger, thus better.
• Compared with SPY (47%) in the period of the last 3 years, the total return, or performance of 131.3% is larger, thus better.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

• The annual performance (CAGR) over 5 years of O'Reilly Automotive is 28.1%, which is higher, thus better compared to the benchmark SPY (11%) in the same period.
• Looking at compounded annual growth rate (CAGR) in of 32.2% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (13.7%).

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

• Compared with the benchmark SPY (21.4%) in the period of the last 5 years, the volatility of 28.2% of O'Reilly Automotive is higher, thus worse.
• Compared with SPY (18.7%) in the period of the last 3 years, the historical 30 days volatility of 23.8% is greater, thus worse.

DownVol:

'Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

• The downside risk over 5 years of O'Reilly Automotive is 20%, which is higher, thus worse compared to the benchmark SPY (15.4%) in the same period.
• During the last 3 years, the downside risk is 16.8%, which is higher, thus worse than the value of 13.3% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

• Compared with the benchmark SPY (0.4) in the period of the last 5 years, the Sharpe Ratio of 0.9 of O'Reilly Automotive is larger, thus better.
• Looking at Sharpe Ratio in of 1.25 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.6).

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

• Compared with the benchmark SPY (0.55) in the period of the last 5 years, the downside risk / excess return profile of 1.28 of O'Reilly Automotive is larger, thus better.
• During the last 3 years, the downside risk / excess return profile is 1.76, which is larger, thus better than the value of 0.84 from the benchmark.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

• The Ulcer Ratio over 5 years of O'Reilly Automotive is 7.63 , which is lower, thus better compared to the benchmark SPY (9.45 ) in the same period.
• Looking at Ulcer Ratio in of 6.25 in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (10 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

• Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -42 days of O'Reilly Automotive is smaller, thus worse.
• During the last 3 years, the maximum DrawDown is -23 days, which is greater, thus better than the value of -24.5 days from the benchmark.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

• The maximum days below previous high over 5 years of O'Reilly Automotive is 168 days, which is lower, thus better compared to the benchmark SPY (351 days) in the same period.
• During the last 3 years, the maximum days under water is 127 days, which is lower, thus better than the value of 351 days from the benchmark.

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

• Looking at the average days under water of 41 days in the last 5 years of O'Reilly Automotive, we see it is relatively smaller, thus better in comparison to the benchmark SPY (78 days)
• Looking at average days under water in of 31 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (101 days).