To accurately determine the financial performance of a company, it is necessary to compare its performance from <u>year to year</u>.
In order to accurately determine the financial performance of a company, financial statements are used in evaluating, which include the balance sheet, statement of cash flows, and the income statement.
Financial performance indicators are quite necessary as they are quantifiable metrics which are used to measure how well a company is doing. Some companies also hire an outside accounting firm to audit the financial statements.
Hence, it is necessary to compare the financial performance of a company from year to year.
To learn more about financial performance here:
brainly.com/question/17307055
#SPJ4
Answer:
D) $2,000
Explanation:
Angela's basis on the stocks will be the same as her father's. Since she sold the stocks, her basis will be $8,000, so her recognized gains will = selling price - basis = $10,000 - $8,000 = $2,000
The IRS allows the donee (Angela) to use the doners (Ralph) basis when selling an asset received as a gift in order to determine the realized gain/loss.
Answer:
Any game with Yoshi in it or Danganronpa.
- Any yoshi game because I love Yoshi.
- Danganronpa because of brutal murdering.
Answer:
option (C) $3,000
Explanation:
Data provided:
Policy duration = 4 years
Policy amount = $12,000
Date on which premium is paid = January 1, 2013
Date on which entry is adjusted = December 31, 2015
Now,
The time passed between January 1, 2013 to December 31, 2015 = 3 years
Therefore,
Amount to be recognized as insurance exp. on December 31, 2015
=
=
= $9,000
Thus,
The balance in the prepaid insurance account = $12,000 - $9,000 = $3,000
Hence,
The correct answer is option (C) $3,000
Answer: Data mining
Explanation: Patterns and relationships as indicated are discovered through a technique known as data mining, which is defined as the use of a variety of statistical analysis tools in marketing research to uncover previously unknown patterns in data or relationships among variables. It is also given as a technique for searching large scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful.