Description

O'Reilly Automotive, Inc., together with its subsidiaries, engages in the retail of automotive aftermarket parts, tools, supplies, equipment, and accessories in the United States. The company provides new and remanufactured automotive hard parts and maintenance items, such as alternators, batteries, brake system components, belts, chassis parts, driveline parts, engine parts, fuel pumps, hoses, starters, temperature control, water pumps, antifreeze, lighting products, appearance products, engine additives, filters, fluids, and oil and wiper blades; and accessories, such as floor mats, seat covers, and truck accessories. Its stores offer auto body paint and related materials, automotive tools, and professional service provider service equipment. The company's stores also offer enhanced services and programs comprising used oil, oil filter, and battery recycling; battery, wiper, and bulb replacement; battery diagnostic testing; electrical and module testing; check engine light code extraction; loaner tool program; drum and rotor resurfacing; custom hydraulic hoses; professional paint shop mixing and related materials; and machine shops. Its stores provide do-it-yourself and professional service provider customers a selection of products for domestic and imported automobiles, vans, and trucks. As of December 31, 2019, the company operated 5,439 stores. O'Reilly Automotive, Inc. was founded in 1957 and is headquartered in Springfield, Missouri.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (113.2%) in the period of the last 5 years, the total return, or performance of 231.1% of O'Reilly Automotive is higher, thus better.
  • Compared with SPY (67.5%) in the period of the last 3 years, the total return, or performance of 111.1% is higher, 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.'

Applying this definition to our asset in some examples:
  • Looking at the annual performance (CAGR) of 27.2% in the last 5 years of O'Reilly Automotive, we see it is relatively higher, thus better in comparison to the benchmark SPY (16.4%)
  • Looking at annual return (CAGR) in of 28.4% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (18.9%).

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • Looking at the historical 30 days volatility of 22.4% in the last 5 years of O'Reilly Automotive, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17.5%)
  • Looking at 30 days standard deviation in of 20.3% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.5%).

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.'

Which means for our asset as example:
  • Looking at the downside volatility of 15.7% in the last 5 years of O'Reilly Automotive, we see it is relatively greater, thus worse in comparison to the benchmark SPY (12.1%)
  • During the last 3 years, the downside deviation is 13.7%, which is greater, thus worse than the value of 11.6% 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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of return and volatility (Sharpe) of 1.1 in the last 5 years of O'Reilly Automotive, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.79)
  • Looking at ratio of return and volatility (Sharpe) in of 1.28 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.94).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Which means for our asset as example:
  • Compared with the benchmark SPY (1.15) in the period of the last 5 years, the excess return divided by the downside deviation of 1.57 of O'Reilly Automotive is larger, thus better.
  • During the last 3 years, the ratio of annual return and downside deviation is 1.9, which is greater, thus better than the value of 1.42 from the benchmark.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Using this definition on our asset we see for example:
  • The Downside risk index over 5 years of O'Reilly Automotive is 6.14 , which is lower, thus better compared to the benchmark SPY (8.48 ) in the same period.
  • Compared with SPY (5.31 ) in the period of the last 3 years, the Downside risk index of 5.34 is larger, thus worse.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Which means for our asset as example:
  • The maximum DrawDown over 5 years of O'Reilly Automotive is -23 days, which is higher, thus better compared to the benchmark SPY (-24.5 days) in the same period.
  • Looking at maximum DrawDown in of -18.1 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (-18.8 days).

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Using this definition on our asset we see for example:
  • The maximum time in days below previous high water mark over 5 years of O'Reilly Automotive is 136 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (199 days) in the period of the last 3 years, the maximum days under water of 136 days is lower, thus better.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. 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.'

Which means for our asset as example:
  • Looking at the average time in days below previous high water mark of 34 days in the last 5 years of O'Reilly Automotive, we see it is relatively smaller, thus better in comparison to the benchmark SPY (120 days)
  • Compared with SPY (47 days) in the period of the last 3 years, the average time in days below previous high water mark of 31 days is smaller, thus better.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of O'Reilly Automotive are hypothetical and do not account for slippage, fees or taxes.