Reference no: EM132652756
The dataset provided with this chapter includes data for the allowance for doubtful account receivable accounts of six members of the Dow 30 from 2016 to 2018. For each company and year, the data starts with the beginning balance in the allowance for doubtful accounts, adds bad debt expense, subtracts write-offs, and then adjusts for amounts charged to other accounts.
William R. Pasewark and Mark E. Riley (Journal of Accountancy, September 2009, pages 40-44) discuss three techniques for analyzing estimates of uncollectible receivables. Pasewark and Riley note that all of the benchmarks (referenced below) are based on their opinions and might differ based on specific circumstances. You will use these techniques to assess estimates made by Chevron, Cisco, Coca-Cola, Dow, Microsoft, and Verizon during the period 2016 to 2018.
Question 1. The first technique compares cumulative bad debt expense recorded over a multi-year period to write-offs over that same period. Pasewark and Riley state that 1.0 is a general benchmark for this ratio. Compute this ratio for the 2016-2018 period for each company. Plot the ratios using a histogram. Comment on any differences you note among the companies' ratios and on what they might reflect about the companies' estimation processes. Why might a company record negative bad debt expense (i.e. a credit to expense)?
Question 2. The second technique compares each year's beginning allowance for doubtful accounts balance to write-offs for the same years. Pasewark and Riley note that a figure between 1.0 and 2.0 is a benchmark for a typical year. Compute this ratio for each company and year. In other words, you will compute three ratios for each company. Again, use a histogram to represent the data and comment on any differences you note among the companies' ratios. Are there patterns emerging that are consistent between the two techniques employed thus far? What do the patterns indicate about the companies' tendencies in estimating their allowances for doubtful accounts?
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