Description

Fastenal Company, together with its subsidiaries, engages in the wholesale distribution of industrial and construction supplies in the United States, Canada, Mexico, North America, and internationally. It offers fasteners, and related industrial and construction supplies under the Fastenal name. The company's fastener products include threaded fasteners, bolts, nuts, screws, studs, and related washers, which are used in manufactured products and construction projects, as well as in the maintenance and repair of machines. It also offers miscellaneous supplies and hardware, including pins, machinery keys, concrete anchors, metal framing systems, wire ropes, strut products, rivets, and related accessories. The company serves the manufacturing market comprising original equipment manufacturers; maintenance, repair, and operations; and non-residential construction market, which includes general, electrical, plumbing, sheet metal, and road contractors. It also serves farmers, truckers, railroads, mining companies, schools, and retail trades; and oil exploration, production, and refinement companies, as well as federal, state, and local governmental entities. The company distributes its products through a network 2,114 branches and 15 distribution centers. Fastenal Company was founded in 1967 and is headquartered in Winona, Minnesota.

Statistics (YTD)

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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:
  • Looking at the total return, or increase in value of 131.3% in the last 5 years of Fastenal, we see it is relatively higher, thus better in comparison to the benchmark SPY (63%)
  • Looking at total return, or performance in of 63.5% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (33.5%).

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:
  • The compounded annual growth rate (CAGR) over 5 years of Fastenal is 18.3%, which is higher, thus better compared to the benchmark SPY (10.3%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is 17.8%, which is higher, thus better than the value of 10.1% from the benchmark.

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:
  • The 30 days standard deviation over 5 years of Fastenal is 29.8%, which is larger, thus worse compared to the benchmark SPY (21.6%) in the same period.
  • Looking at 30 days standard deviation in of 30.7% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (25.1%).

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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.'

Using this definition on our asset we see for example:
  • The downside deviation over 5 years of Fastenal is 19.9%, which is greater, thus worse compared to the benchmark SPY (15.6%) in the same period.
  • Looking at downside deviation in of 21.1% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (18.1%).

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.'

Which means for our asset as example:
  • Looking at the ratio of return and volatility (Sharpe) of 0.53 in the last 5 years of Fastenal, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.36)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.5, which is greater, thus better than the value of 0.3 from the benchmark.

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:
  • Looking at the excess return divided by the downside deviation of 0.79 in the last 5 years of Fastenal, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.5)
  • Looking at excess return divided by the downside deviation in of 0.72 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.42).

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Applying this definition to our asset in some examples:
  • The Ulcer Ratio over 5 years of Fastenal is 11 , which is larger, thus worse compared to the benchmark SPY (8.88 ) in the same period.
  • During the last 3 years, the Downside risk index is 13 , which is greater, thus worse than the value of 11 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Applying this definition to our asset in some examples:
  • Looking at the maximum reduction from previous high of -30.7 days in the last 5 years of Fastenal, we see it is relatively larger, thus better in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum DrawDown is -30.7 days, which is larger, thus better than the value of -33.7 days from the benchmark.

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:
  • Compared with the benchmark SPY (273 days) in the period of the last 5 years, the maximum days below previous high of 276 days of Fastenal is higher, thus worse.
  • Looking at maximum time in days below previous high water mark in of 276 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (273 days).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (57 days) in the period of the last 5 years, the average days below previous high of 57 days of Fastenal is higher, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 66 days, which is lower, thus better than the value of 73 days from the benchmark.

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 Fastenal are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.