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NEW DELHI (Reuters) -SoftBank-backed Indian e-scooter maker Ola Electric is likely to value the company at around $4.5 billion for its initial public offering (IPO), around 16%-20% lower than the ...
Ola Electric, which listed its shares on Aug. 9 after a $734 million initial public offering (IPO), has seen its shares jump 75% over the launch price of 76 rupees. It was valued at $5.4 billion ...
Ola Electric's IPO drew $1.8 billion in bids as the share sale closed on Tuesday, as investors piled into the first stock offering by a pure-play electric vehicle maker in India. The SoftBank ...
Ola Electric was established in 2017 as a wholly-owned subsidiary of ANI Technologies, the parent entity of Ola Cabs. [10] [11] The company was started to reduce emission and fuel dependency of Ola's cabs, and shift to mass electric mobility; a pilot program was launched in Nagpur in May 2017 by setting up charging stations across the city and procuring electric cabs, e-buses, and e-rickshaws ...
The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess ...
Bhavish Aggarwal (born 28 August 1985) is an Indian entrepreneur. He is the co-founder and CEO of Ola Consumer, founder of Ola Electric [1] and founder of Ola Krutrim, a large language model artificial intelligence (AI) company which became India’s first AI unicorn in 2024 an estimated valuation of $1 billion.
BENGALURU (Reuters) -Ola Electric's $734 million initial public offering (IPO) was fully subscribed on the second day of bidding, reaching the target amid a sharp sell-off in global equity markets.
[3] [88] [89] Apart from historical electricity prices, the current spot price is dependent on a large set of fundamental drivers, including system loads, weather variables, fuel costs, the reserve margin (i.e., available generation minus/over predicted demand) and information about scheduled maintenance and forced outages.