High low method is the mathematical method that cost accountant uses to separate fixed and variable cost from mixed cost. We use the high low method when the cost cannot clearly separate due to its nature. Mixed cost is the combination of variable and fixed cost and it is also called “Semi Variable Cost”. The high-low method is a simple technique for determining the variable cost rate and the amount of fixed costs that are part of what’s referred to as a mixed cost or semivariable cost. The manager of a hotel would like to develop a cost model to predict the future costs of running the hotel.
In cost accounting, the high-low method is a technique used to split mixed costs into fixed and variable costs. Although the high-low method is easy to apply, it is seldom used because it can distort costs, due to its reliance on two extreme values from a given data set. The fixed cost can be calculated once the variable cost per unit is determined.
- The y-intercept (value of y when x is zero) would be equal to the fixed cost.
- Thus, the high-low method should only be used when it is not possible to obtain actual billing data.
- Further, the process may be easy to understand, but the high-low method is not considered reliable because it ignores all the data except the two extreme ones.
- It can be easily and quickly used to yield significantly better estimates than the high-low method.
- Due to its unreliability, high low method should be carefully used, usually in cases where the data is simple and not too scattered.
- It considers the total dollars of the mixed costs at the highest volume of activity and the total dollars of the mixed costs at the lowest volume of activity.
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The high-low method used in analysis of costs that help in estimating the variable and fixed costs from a given data set of financial information. Using this formula, it is possible to estimate the costs individually but may not always provide actual estimate due to certain limitations. However, there are more advanced methods available in the current scenario, like regression analysis, that may be more complex and involve more calculations, but they provide better estimations with higher level of accuracy. The high-low method is a simple way in cost accounting to segregate costs with minimal information. The high-low method involves comparing total costs at the highest level of activity and the lowest level of activity, after each level is determined. The variable cost per unit is equal to the slope of the cost volume line (i.e. change in total cost ÷ change in number of units produced).
The following are the given data equivalent amount meaning for the calculation of the high-low method. For example, the table below depicts the activity for a cake bakery for each of the 12 months of a given year. Upgrading to a paid membership gives you access to our extensive collection of plug-and-play Templates designed to power your performance—as well as CFI’s full course catalog and accredited Certification Programs. Take your learning and productivity to the next level with our Premium Templates. Access and download collection of free Templates to help power your productivity and performance.
What are the advantages of High Low method?
The high-low method comprises the highest and the lowest level of activity and compares the total costs at each level. Let’s assume that the company is billed monthly for its electricity usage. The cost of electricity was $18,000 in the month when its highest activity was 120,000 machine hours (MHs). (Be sure to use the MHs that occurred between the meter reading dates appearing on the bill.) The cost of electricity was $16,000 in the month when its lowest activity was 100,000 MHs. This shows that the total monthly cost of electricity changed by $2,000 ($18,000 vs. $16,000) when the number of MHs changed by 20,000 (120,000 vs. 100,000).
Why Is the High-Low Method a Simple Analysis?
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The calculation follows simple process and step, which is better than the other complex methods like least-square regression. It’s also possible to draw incorrect conclusions by assuming that just because two sets of data correlate with each other, one must cause changes in the other. Regression analysis is also best performed using a spreadsheet program or statistics program. Due to its unreliability, high low method should be carefully used, usually in cases where the data is simple and not too scattered. For complex scenarios, alternate methods should be considered such as scatter-graph method and least-squares regression method.
Unfortunately, the only available data is the level of activity (number of guests) in a given month and the total costs incurred in each month. Being a new hire at the company, the manager assigns you the task of anticipating the costs that would be incurred in the following month (September). High low method uses the lowest production quantity and the highest production quantity and comparing the total cost at each production level. It uses only the lowest and highest production activities to estimate the variable and fixed cost, by assuming the production quantity and cost increase in linear. It ignores the other points of productions, so it may be an error when the cost does not increase in a linear graph. The two points are not representing the production cost at a normal level.
The high-low method is used to calculate the variable and fixed costs of a product or entity with mixed costs. It considers the total dollars of the mixed costs at the highest volume of activity and the total dollars of the mixed costs at the lowest volume of activity. The total amount of fixed costs is assumed to be the same at both points of activity. The change in the total costs is thus the variable cost rate times the change in the number of units of activity.
Regression analysis helps forecast costs as well, by comparing the influence of one predictive variable upon another value or criteria. However, regression analysis is only as good as the set of data points used, and the results suffer when the data set is incomplete. Given the variable cost per number of guests, we can now determine our fixed costs. High Low method will give us the estimation of fixed cost and variable cost, the result may be changed when the total unit and cost of both point change.
The high-low method is a simple analysis that takes less calculation work. It only requires the high and low points of the data and can be worked through with a simple calculator. Using either the high or low activity cost should yield approximately the same fixed cost value. Note that our fixed cost differs by $6.35 depending on whether we use the high or low activity cost. It is a nominal difference, and choosing either fixed cost for our cost model will suffice. By substituting the amounts in the cost equation of the lowest point, we can determine the fixed cost (a).
The high-low method is relatively unreliable because it only takes two extreme activity levels into consideration. The high or low points used for the calculation may not be representative of the costs normally incurred at those volume levels due to outlier costs that are higher or lower than would normally be incurred. The highest activity for the bakery occurred in October, when it baked the highest number of cakes, while August had the lowest activity level, with only 70 cakes baked at a cost of $3,750. The cost amounts adjacent to these activity levels will be used in the high-low method, even though these cost amounts are not necessarily the highest and lowest costs for the year.
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Its drawback, however, is that not all data points are considered in the analysis. Other methods such as the scatter-graph method and linear regression address this flaw. Calculating the outcome for the high-low method requires a few formula steps. First, you must calculate the variable-cost component and then the fixed-cost component, and then plug the results into the cost model formula.