What Is Distribution? (2024)

When a company makes money, it may decide to return a portion of cash to its shareholders. Depending on the business structure, individuals may receive special payments from a business called distributions. Read on to learn what is distribution, types, and how distributions work.

Distribution Definition

A distribution is a company’s payment of cash, stock, or physical product to its shareholders. Distributions are allocations of capital and income throughout the calendar year.

When a corporation earns profits, it can choose to reinvest funds in the business and pay portions of profits to its shareholders.

Shareholders can receive distributions on a regular basis, such as monthly, quarterly, or annually.

Shareholder distributions are common with pass-through entities, such as an S Corporation or limited liability company (LLC). Companies with pass-through taxation are not taxed directly. Instead, taxable company profits are passed through to shareholders.

Distributions vs. dividends

Distribution funds function similarly to stock dividends. But, how do dividends differ from distributions?

A dividend is a reward paid to shareholders for their investment in a company’s equity. Rewards typically come from the business’s net profits. Many C Corporations use dividends.

A board of directors determines the dividend frequency and payout rate. Like distributions, you can issue dividends as cash payments, shares of stock, or other property.

Distributions are common for an S Corporation. Sometimes partnerships or LLCs make distributions, too.

Although there are various payment options, distributions are normally given in the form of cash. A recipient of a cash distribution must treat the payout as a type of income. And, the recipient must report payouts to the IRS using specific forms. For, example S Corps must report income on Form K-1 to file a business tax return.

Distributions to shareholders are typically higher amounts than dividends (e.g., 10% per year).

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Additional types of distributions

While a shareholder distribution refers to paying a shareholder stock, cash, or property, other types of distributions are also available to individuals. Additional types of distributions include owner’s distributions, individual retirement accounts (IRAs), and mutual fund distributions.

Owner’s distributions

Owner’s distributions are earnings an owner withdraws from their business. The amount of the distribution depends on the business’s profits.

Business owners may utilize distributions for personal use or place distributions in business accounts for future use.

Protocols for owner distributions may vary depending on the type of business structure (e.g., partnership).

IRA distributions

IRA distributions can include plans such as 403(b) accounts or 457 plans. Retirement account distributions fall into two categories:

  • Distributions individuals take prior to age 59-and-a-half
  • Distributions individuals take on or after turning 59-and-a-half

If an individual takes the distribution before turning 59-and-a-half, the distribution is subject to IRS penalties and ordinary income tax.

Mutual fund distributions

A mutual fund company typically gives earnings and other types of payouts to investors or shareholders as distributions.

Mutual fund distributions are earnings from a fund’s operation. Unlike regular shareholder dividends, a mutual fund is required by law to pass profits back to investors or shareholders.

Types of distributions for mutual funds include ordinary dividends, qualified dividends, and capital gains. The way you tax the distribution depends on the type.

Distributions and payroll

Generally, shareholders of a pass-through entity who perform work for the business must be paid a “fair wage”, otherwise known as reasonable compensation. If a shareholder works for the company, you must pay them a fair wage as an employee.

The amount of wages the shareholder receives depends on the business and average industry pay. Shareholders’ wages are subject to income, Social Security, and Medicare taxes.

If a shareholder is treated as an employee (e.g., shareholder-employee status), withhold the proper taxes. Failure to pay and file taxes could result in penalties or jail time.

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This article has been updated from its original publication date of March 12, 2019.

This is not intended as legal advice; for more information, please click here.

What Is Distribution? (2024)

FAQs

What is the mean of the distribution? ›

The most common expression for the mean of a statistical distribution with a discrete random variable is the mathematical average of all the terms. To calculate it, add up the values of all the terms and then divide by the number of terms.

What is the distribution of when the sample is large enough? ›

The central limit theorem says that the sampling distribution of the mean will always be normally distributed, as long as the sample size is large enough. Regardless of whether the population has a normal, Poisson, binomial, or any other distribution, the sampling distribution of the mean will be normal.

What does at distribution tell you? ›

The t-distribution describes the standardized distances of sample means to the population mean when the population standard deviation is not known, and the observations come from a normally distributed population.

What is distribution in simple terms? ›

the act of dividing something among people, or spreading or supplying something: The bill would prohibit the sale and distribution of firearms. Distribution is also the position or arrangement of something in space or time, or among a group of people: a very substantial upward distribution of wealth in society.

How to determine distribution? ›

Visualize the data distribution using graphical methods such as histograms, density plots, box plots, and quantile-quantile (Q-Q) plots. Histograms provide a visual representation of the frequency distribution by dividing the data into intervals or bins and plotting the number of observations within each bin.

What is the mean of the distribution of sample means? ›

The collection of sample means forms a probability distribution called the sampling distribution of the sample mean. The mean of the distribution of the sample means, denoted μ¯¯¯x μ x ¯ , equals the mean of the population. μ¯¯¯x=μ

Why do we sample from a distribution? ›

Importance of Using a Sampling Distribution

Since populations are typically large in size, it is important to use a sampling distribution so that you can randomly select a subset of the entire population. Doing so helps eliminate variability when you are doing research or gathering statistical data.

What is the sample mean of a normal distribution? ›

For samples of any size drawn from a normally distributed population, the sample mean is normally distributed, with mean μX=μ and standard deviation σX=σ/√n, where n is the sample size.

What is distribution in sample size? ›

The sampling distribution of a statistic is the probability distribution of that statistic. We take many random samples of a given size n from a population with mean μ and standard deviation σ. Some sample means will be above the population mean μ and some will be below, making up the sampling distribution.

What is a large enough sample size for a normal distribution? ›

With a sufficiently large sample size, the sample distribution will approximate a normal distribution, and the sample mean will approach the population mean. So if we have a sample size of at least 30, we can begin to analyze the data as if it fit a normal distribution. Hans Fischer.

What happens when a sample size is not big enough? ›

When your sample size is inadequate for the alpha level and analyses you have chosen, your study will have reduced statistical power, which is the ability to find a statistical effect in your sample if the effect exists in the population.

How do I describe distribution in statistics? ›

At the most basic level, distributions can be described as either symmetrical or skewed. You will see that there are also relationships between the shape of a distribution, and the positions of each measure of central tendency.

What does a distribution tell? ›

A statistical distribution, or probability distribution, describes how values are distributed for a field. In other words, the statistical distribution shows which values are common and uncommon. There are many kinds of statistical distributions, including the bell-shaped normal distribution.

How do you interpret mean distribution? ›

Interpretation. Use the mean to describe the sample with a single value that represents the center of the data. Many statistical analyses use the mean as a standard measure of the center of the distribution of the data. The median and the mean both measure central tendency.

How to find the distribution of the mean? ›

Steps for Determining the Mean of the Sampling Distribution of a Sample Mean. Step 1: Identify the population mean. Step 2: Apply the Central Limit Theorem to conclude that the mean of the sampling distribution of a sample mean is equal to the population mean.

What is mean of distribution in math? ›

Distribution means something is being separated evenly. This involves distributing either a number or a variable out evenly in math. A pair of parentheses usually signals that something is to be distributed. 4 ( x − 1 ) In the above mathematical expression, the 4 is outside the pair of parentheses.

What is the formula of mean in distribution? ›

Mean = (∑fixi)/ ∑fi. = 2878/100. = 28.78. Thus, the mean of the given distribution is 28.78. Test your knowledge on Mean Formula.

How do you find the mean of a distribution chart? ›

The mean. To calculate the mean from a list of numbers, add the values together and divide the total by the number of values. from a list is calculated by adding all the values and dividing by how many values there are.

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