Published March 30, 2023 | Version v1

THE GROWTH IMPACT ON COMPANY VALUE: EVIDENCE FROM THE E-COMMERCE SECTOR

Authors/Creators

Description

Thid dataset contains the information about e-commerce companies globally.

The indicators include: region of operations (developed / developing), business-model (1st party trade / 3d party trade), key financial indicators

 

Detailed description of variables:

1. Year: the period covers 2017-2021, annual data

2. Index: number of the company

3. EV/GMV_t: trailing mulriple EV/GMV

4. EV/GMV_f: forward multiple EV/GMV

5. EV/Revenue: trailing multiple EV/Revenue

6. EV/Gross Profit: trailing multiple EV/Gross Proift

7. EV/EBITDA: trailing multiple EV/EBITDA

8. EV/EBIT: trailing multiple EV/EBIT

9. Dummy_Dev: dummy variable, which equals 1 for companies, operating on developed markets, 0 - for developing

10. Dummy_Ind: dummy variable, which equals 1 for companies which operating model combines a marketplace and retailing, 0 - for retailers

11. Dummy_GP: dummy variable, which equals 1 for companies with positive Gross Profit at a given year

11. Dummy_EBITDA: dummy variable, which equals 1 for companies with positive EBITDA at a given year

12. GMV_g_1yH: GMV growth rate for 1 historical year

13. GMV_g_2yH: GMV CAGR rate for 2 historical years

14. GMV_g_1yF: GMV growth for 1 forecasted year

15. Rev_g_1yH, Rev_g_2yH, Rev_g_1yF, GP_g_1yH, GP_g_2yH, GP_g_1yF, EBITDA_g_1yH, EBITDA_g_2yH, EBITDA_m_1yF: the same as p.12-14 for Revenue, Gross Profit, and EBITDA

16. GP_m_1yH: Gross Margin for 1 historical year

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