Ola Electric Mobility Ltd Share Price – NSE /  BSE

Automobile, Small Cap

Revenue from operations jumped 38.39% to Rs 1,240 crore in Q2 FY25 as compared with Rs 896 crore in Q2 FY24.

The company reported negative EBITDA of Rs 353 crore for the quarter ended 30 September 2024, which is lower as compared with negative EBITDA of Rs 412 crore posted in corresponding quarter last year.

During the quarter, vehicles delivered by the company increased by 73.6% and stood at 98,619 units as against 56,813 units delivered in the same period last year. The company ramped up deliveries of its mass market scooter portfolio (S1 X portfolio) during the quarter which helped accelerate growth.

With a portfolio of six models priced between Rs 75,000 and Rs 1,50,000, the company is now focusing on expanding into other 2W and 3W categories. Over the next two years, it plans to launch 20 new products, with the target of unveiling at least one new product every quarter.

Additionally, the company plans to double down on its network of company-owned stores (and co-located service infrastructure), aiming to reach 2,000 stores by March 2025. As of September 2024, it currently operates 782 company-owned stores.

At its annual ‘Sankalp’ event in August 2024, the company announced the launch of its Roadster motorcycle series, with the first product to be delivered in March 2025. The products are priced to capture the entire spectrum of mass and premium motorcycles ranging from Rs 74,999 to Rs 249,999 across 3 models and 8 variants.

Ola Electric Mobility is a leading electric vehicle (EV) manufacturer in India, specializing in the vertical integration of technology and manufacturing for EVs and their components, including battery cells.

Shares of Ola Electric Mobility fell 2.47% to Rs 72.74 on Friday, 8 November 2024.

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Net Loss of Ola Electric Mobility reported to Rs 495.00 crore in the quarter ended September 2024 as against net loss of Rs 524.00 crore during the previous quarter ended September 2023. Sales rose 39.06% to Rs 1214.00 crore in the quarter ended September 2024 as against Rs 873.00 crore during the previous quarter ended September 2023.

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Ola Electric Mobility will hold a meeting of the Board of Directors of the Company on 8 November 2024

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Ola Electric announced the launch of the groundbreaking Ola Digital Twin platform to transform manufacturing processes and product development lifecycle. Developed on the NVIDIA Omniverse, the Ola Digital Twin platform seamlessly integrates Krutrim AI and NVIDIA technologies along with other advanced simulation tools and IoT platforms to create comprehensive digital twin environments that fast-track the planning of Ola Electric's manufacturing facilities and optimise equipment layouts, product development lifecycles, and the building of computer vision-based quality-inspection systems.

The platform also leverages physically accurate simulations and generative AI for tasks ranging from kinematics simulations to generating synthetic image data for training autonomous mobile robots (AMRs) and robotic arms.

By integrating NVIDIA Omniverse — a platform of application programming interfaces (APIs), software development kits and services that enable developers to harness Universal Scene Description (OpenUSD) for physical AI — as well as NVIDIA Isaac Sim — a reference simulation platform built on Omniverse for designing and testing robots — Ola Electric has achieved over 20% faster time to market from design to commissioning, for manufacturing operations at its Futurefactory.

Ola Electric has also leveraged Ola Digital Twin in its autonomous robotic weld lines at the Futurefactory, to simulate the welding processes and quality inspection systems. This enables virtual deployment and testing of changes before implementing them in the physical world.

Developers at Ola use Ola Digital Twin's generative AI capabilities and NVIDIA Omniverse APIs to generate synthetic assets, including lighting, environmental scenes, objects and defects, which help accelerate perception AI model training from months to weeks, while accounting for scenarios otherwise impossible to safely replicate in the real world. The platform also features thermal simulation capabilities for building next-generation OLA Krutrim data centers and liquid-cooling infrastructure.

n addition to this, Ola Consumer is using NVIDIA Isaac Sim to train its robot pick-and-place applications for complex stock-keeping units in its automated dark stores. The robots are trained in virtual simulations to handle complex operations in a dynamic, automated environment autonomously.

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