Earnings Management • Earnings management includes both legitimate and less legitimate decisions by manager to change accounting policies or real actions in order to smooth earnings or achieve some specific
challenging in 1Q19. In strategic areas, aggressive price plans and handset campaigns were launched, especially in prepaid, in which AIS was competitive to preserve scale. As a result, mobile revenue grew 1.1
aggressive discount were withdrew in Jan-Feb while demand from lockdown only emerged in the last week of March. APRU continued declining as the competition remained elevated particularly with deep discount
aggressive discount were withdrew in Jan-Feb while demand from lockdown only emerged in the last week of March. APRU continued declining as the competition remained elevated particularly with deep discount
revenue growth of 26% YoY, outpacing the industry growth. This was driven by healthy net subscriber addition of 60,400 in the quarter despite aggressive price competition; and marked a total subscriber of
aggressive campaigns remained in targeted areas. After completing spectrum auctions in 3Q18, overall 4G networks have improved following the deployment of the additional bandwidth, which is expected to help
achieve the rapid decarbonisation needed to limit global temperature rises to 2˚ Celsius over a business as usual scenario; on average $450 billion per year, or about a third of current annual global
postpaid segment, which in turn led to an improvement in data monetization. For the prepaid segment, market environment escalated in the quarter. Since Jul-19, all operators offered aggressive data plans e.g
postpaid segment, which in turn led to an improvement in data monetization. For the prepaid segment, market environment escalated in the quarter. Since Jul-19, all operators offered aggressive data plans e.g
of a larger data plan; this resulted in the ARPU uplift for these 5G subscribers by 10-15%. We still aim to achieve 2mn 5G subscribers by the end of the year. The key drivers would be a higher data