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Q2, or the second quarter, refers to the accounting period of April, May and June. Any financial statements you receive from April 1 to June 30 are for Q2 of the fiscal quarter system.
The 4–4–5 calendar is a method of managing accounting periods, and is a common calendar structure for some industries such as retail and manufacturing.It divides a year into four quarters of 13 weeks, each grouped into two 4-week "months" and one 5-week "month".
In the United States, the federal government's fiscal year is the 12-month period beginning 1 October and ending 30 September the following year. The identification of a fiscal year is the calendar year in which it ends; the current fiscal year is often written as "FY25" or "FY2024-25", which began on 1 October and will end on 30 September.
Trailing twelve months (TTM) is a measurement of a company's financial performance (income and expenses) used in finance.It is measured by using the income statements from a company's reports (such as interim, quarterly or annual reports), to calculate the income for the twelve-month period immediately prior to the date of the report.
Quarter-to-date (QTD) is a period starting at the beginning of the current quarter and ending at the current date.Quarter-to-date is used in many contexts, mainly for recording results of an activity in the time between a date (exclusive, since this day may not yet be “complete”) and the beginning of either the calendar or fiscal quarter.
Depending on context, the term may also refer to listed company (quarterly) earnings guidance. For a country or economy , see Economic forecast . Typically, using historical internal accounting and sales data, in addition to external industry data and economic indicators , a financial forecast will be the analyst's modeled prediction of company ...
Outliers could also be evidence of a sample population that has a non-normal distribution or of a contaminated population data set. Consequently, as is the basic idea of descriptive statistics, when encountering an outlier, we have to explain this value by further analysis of the cause or origin of the outlier. In cases of extreme observations ...
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