
We will soon embark on a financial year end and thereby let us look back at what our study of impact on Accumulated Leave Balances, Average Salary & Other Components affected by Covid and thereby impacting the actuarial valuation data for the experiences of companies during the periods March 2020 to March 2021and March 2021 to December 2021.
Any impact of Omicron variant would come through in our 2021-22 study.
This article is a follow on from our study in 2020 at the height of the first wave of COVID-19. This can be found here.
Our base information is cross industry over a two-year comparative data, namely, FY 2019-20, and FY 2020-21. The data consists of 1,800+ companies covering approximately 1,900,000 employees in each period.
.png)
Pattern in Accumulation of Leave Days At an aggregate level, the total accumulation of leave days in FY2019-20 and FY2020-21 is almost the same(as indicated in the beginning of the article)
.png)
We have briefly analysed similar information for a more recent period. Given the need to look at common companies and continuing employees, this period includes data from 330 companies
.png)
The medium to long term impact of COVID-19 is still not clear. This will depend very much on individual companies’ circumstances and their responses to emerging from the pandemic. Early signs seem to suggest things are on the way back to some normalcy.
Having a technically thorough analysis of the potential possible implications that might occur, will help companies to understand their financials better and help in decision making while engaging in discussions with auditors.
If you have any queries about this article or would like to discuss about any employee benefits related matter, such as actuarial valuations and related advice for Pension Scheme, Gratuity and Leave schemes, or ESOP’s please get in touch with us.
Disclaimer
➢ The data used is the final actuarial valuation data, on which formal actuarial valuation reports we reissued.
➢ It has been assumed that validation checks were already performed on the respective data.
➢ The data has been considered at an aggregate level. Hence, the experiences at an individual level might differ.
➢ The analysis has been conducted using unique identification code for individual employees. No personal identifiable data has been used during the process.
.png)
Get in touch with our experts for personalized solutions.