Nebius Group Letter to shareholders Q2 2026 August 12, 2026

Q2 2026: Demand inflecting Other businesses and investments Strategic equity investments Nearly 3x size of autonomous fleet YTD with 1M+ miles in 2026 Surpassed 60,000 commercial rides on Uber platform Launched AI Systems Engineering programs and expanded its enterprise B2B offering Other businesses Reported valuation of $15B in January 2026 funding round Data solutions business backed by Bezos Expeditions Building the full-stack AI cloud Nebius AI cloud “Aether 3.6” Introduced Nebius Echo — an AI agent to help developers operate and manage workloads Enhancing the platform to support greater volumes as customer commitments scale Token Factory production inference workloads increased >3x in Q2 Eigen AI and Clarifai teams joined Nebius this quarter New open-weight models in Token Factory: Kimi K3 GLM 5.2 Nemotron Ultra Open ecosystem Demand, proven in signed contracts Financial highlights First asset-backed financing at attractive terms (SOFR + 2.50%) ~$775M secured in July Q2 Nebius group revenue Up 454% YoY to $582M Nebius AI cloud adjusted EBITDA margin 50% Q4’2025 Q1’2026 Q2’2026 45% 24% Strong cash position ending Q2 Including $2.3 billion in positive operating cash flow $8B cash Repeatable framework 2026 FY guidance reiterated quarter over quarter for deals closed in Q2 4x for deals closed in Q2 Сapacity coming online through 2027 All numbers are approximate ACV per MW is stepping up(1) Q2 deals >$20M Q3 short-term capacity deals >$40M 2026 base $12M (2)(3) Total contract value grew Payback period 1 year 10 months Landmark AI cloud wins in Q2 Capacity footprint Raising capacity guidance for YE’26 Existing sites Sites >100MW Sites 1GW New sites added in 2026 Finland Israel Iceland UK France New Jersey Missouri Oklahoma Alabama Minnesota Kansas City Pennsylvania Spain 2026 contracted power guidance >2.5 GW >3 GW > 4GW >1 GW Aug’25 Nov’25 Feb’26 May’26 Current 5GW Estonia 4 large deals >$1B average deal size across the four deals 50-60% of capex self-financed such as Reflection and Cohere by prepayments (1) ACV — Annual contract value. (2) Methodology is on a revenue recognition basis, excluding any prepayment. (3) Estimated payback period for new deals signed in Q2, based on forecast costs and contracted future capacity, including capacity not yet built.

3 This was the quarter the market validated our strategy. Demand for AI capacity continues to grow exponentially, and we are converting that demand into contracted, profitable growth. Q2 was our strongest commercial quarter yet • Deals saw an average yield of more than $20 million per megawatt. • We closed four landmark deals for our AI cloud business, for an average total contract value (TCV) of more than $1 billion each, and a yield of $20-25 million per megawatt. • TCV of Q2 wins grew nearly 4x quarter-over-quarter, with TCV from new customers growing more than 9x. • New pricing initiatives in early Q3 — such as our first-ever auction and short-term capacity deals — are showing prom-ise. We see a price opportunity in the $40-50 million per MW range and we signed our first one this week. • Overall deal economics strengthened, with 70% of deals including prepayments, covering 50-60% of the associat-ed capex. • Together, the expected payback period for the associat-ed capex and related operating costs for Q2 deals is 1 year and 10 months, down from our two-to-three year payback period previously. • We could sell our entire 2027 capacity on these terms today. We are deliberately not doing so because we see higher val-ue in retaining some capacity for immediate customer needs. A contract mix built to capture a rising market We address customer needs with three types of deals. Each has a different duration, pricing, and role in our business. Our contract mix can capture this rising market on both ends: longer, higher-priced contracts lock in future revenue, while short-er contracts can capture near-term upside. • Shorter-duration contracts, typically between three and six months, is a new effort, for customers with an acute, time-bound need — priced at a significant premium. One such deal has been signed in Q3. • Mid-term contracts — our core business — now with an aver-age duration of one to three years with the world’s most ambitious AI companies. • Long-term contracts with investment-grade customers, which help us finance our buildout faster and more efficient-ly. The $775 million secured facility we raised in July was on the back of one of these agreements — and with $40 bil-lion in customer commitments, we will do more of this. Dear shareholders, Arkady Volozh, Founder and CEO “We closed our largest AI Cloud deals on our strongest terms to date, at prices that represent a step-change in the economics of our business.” Capacity build-out accelerating, expecting to deploy >1 GW per year in 2027 • We continue to secure power ahead of our expectations, and today we are raising our year-end contracted power tar-get again to 5 GW. • We expanded our footprint with additional sites and pro-gressed on construction at our owned AI factories in the US. • The pace in which we bring capacity to market will accelerate as we plan to deploy more than 1 GW per year — and we plan to do so starting in 2027. • We are innovating in how we build. This quarter we introduced an asset-light partnership model that addresses the two con-straints in this industry: capital and capacity. Software platform for the full AI lifecycle • Inference workloads on Token Factory more than tripled in Q2, increasingly running on open models. • Training and inference are converging. Unlike standalone inference providers, Nebius serves the full workload lifecycle on one platform that will drive better total cost of ownership and utilization of compute. • The acquisitions of Eigen AI and Clarifai brought indus-try-leading inference optimization in-house. • We shipped Nebius AI Cloud 3.6 (“Aether 3.6”), scaling the core platform alongside our growing global footprint. Financial model proving itself as we scale • Q2 group revenue of $582.3 million, was up 454% year-over-year. Nebius AI cloud revenue grew 514% year-over-year to $575 million, ARR reached $3.0 billion. • We also continued to demonstrate the operating leverage inherent in our business: our AI cloud business delivered an adjusted EBITDA margin of 50% in the quarter. • We expect over $9 billion in customer prepayments in 2026. We are reaffirming our full-year 2026 guidance across all metrics. Arkady Volozh (4) Annualized run-rate (ARR) is calculated by taking Nebius AI cloud revenue from the last month of the quarter multiplied by 12.

4 Group Q2 update Customers: Deal economics strengthened across every dimension Q2 was our strongest commercial quarter yet: • Annual contract value per MW repriced higher. Our core AI cloud business won deals averaging above $20 million in rev-enue per MW, driven by increasing prices for new-generation GPUs and more than 30% higher pricing on older-generation GPUs versus Q1. • Deal sizes and new logos set records. We closed four land-mark deals, which averaged more than $1 billion in TCV each. • TCV of deals closed in Q2 grew nearly 4x quarter-over-quar-ter, with TCV from new customers growing more than 9x. • Roughly 70% of deals closed included customer prepay-ments — an all-time high. • Prepayment has become the market standard for securing capacity in a supply-constrained environment. • Deal terms shortened the expected payback period (3) on these deals to 1 year and 10 months, from our historical two-to-three-year range. These economics will flow through to revenue as the underlying capacity comes online. The majority of these deals were signed against capacity arriving in late 2026, and will contribute primar-ily to 2027 revenue. Our contract mix captures this rising market on both ends: longer, higher-priced contracts lock in future revenue, while shorter con-tracts can capture near-term upside. In Q3, we closed our first short-term capacity deal. This deal represents dedicated capacity for a customer with an acute, time-bound need for compute. The capacity is expected to go live in Q4. Such deals are typically multi-month engagements, priced at a premium, for customers who need to move fast and know exactly what they need. We also conducted our first capacity auction pilot, seeing early success by securing the highest price we have cleared for NVIDIA Blackwell chips to date. Landmark customer agreements The strong deals we closed in the quarter includ-ed four landmark deals for our AI cloud. This success in our core market validates our positioning and our ability to continue capturing more market share. The average TCV for these deals was greater than $1 billion, with annual contract value of $20-25 million per MW. • Reflection selected Nebius for a multi-year agreement to train and run its open-source models on our platform, accelerating open-source AI development while supporting model safety and the broader developer ecosystem. • Cohere is partnering with Nebius to support the growth of its agentic AI solutions for enterprises, grounded in flexible next-generation NVIDIA architectures, technical collabora-tion, and our track record as a long-term strategic partner. • Another US-based AI neolab chose our platform for fron-tier model development to accelerate product innovation in response to growing enterprise demand and to support their scaling revenue. • A large US-based quantitative trading firm represents one of our first large-scale customer wins in financial services. This firm chose Nebius for our consistent speed and relia-bility at scale, as compute performance is critical to trading execution. These large deals are only a handful of the wins we saw across the range of industries we serve. Customers require infrastruc-ture and tooling that keeps pace with their speed of development and supports their competitive advantage, and are choosing Nebius as their infrastructure backbone. Some of these key vertical wins include: • AMI, co-founded by Yann LeCun, is developing world mod-els that learn abstract representations of real-world sensor data and make predictions in representation space. AMI uses Nebius compute and storage infrastructure to support its AI research and model training workloads. • Basecamp Research trained EDEN, a 28-billion-parameter biological foundation model, on 9.7 trillion tokens from over a million newly discovered species, entirely on Nebius, at 20x faster training speed compared to their previous internal environments. EDEN exhibits state-of-the-art performance (3) Estimated payback period for new deals signed in Q2, based on forecast costs and contracted future capacity, including capacity not yet built.

5 and designs programmable therapeutic molecules validated across different modalities. • Prima Mente scaled its Alzheimer’s and Parkinson’s epige-netic foundation model from 1 billion to 68 billion parameters on a dedicated Nebius cluster, achieving 89-97% diagnostic accuracy from blood samples. • Higgsfield, one of Nebius’s first AI cloud customers, has expanded its usage on the platform by >20x since their first contract. This summer they premiered a 95-minute feature film made entirely with AI on Nebius infrastructure — an indus-try first that compressed a two-year process into weeks, at a fraction of the cost of traditional filmmaking. Capacity: Executing our global capacity expansion The second quarter was once again defined by strong execution and significant progress toward our capacity expansion targets. We continue to bring capacity online to support near-term growth while securing land and power commitments for 2027 and beyond. Capacity underpinning near-term growth In Q2, we continued to deliver on our capacity commitments across both AI cloud customers and strategic long-term contracts. • We brought additional capacity online across sites in the US and Europe during the second half of the second quarter. • To date, we’ve delivered all capacity tranches to Microsoft under the contract, including two tranches over the past month. In May, we announced a long-term partnership with Bloom Energy to deploy behind-the-meter fuel cells this year. We are excited about this partnership as it adds fuel-cell technology to the range of options available to us for future deployments. We have already received our first NVIDIA Vera Rubin NVL72 systems and are using these early units to validate compute, net-working, and orchestration together as a single system. Testing the integration of this new architecture across our full stack will position us to deploy Vera Rubin as a production-ready offering for our customers once shipments scale. We are already engag-ing with customers for Vera Rubin access. • To support agentic AI orchestration, tool-calling and memory workloads, we are complementing our NVIDIA GPU fleet with more general-purpose CPU compute, including early adop-tion of NVIDIA Vera CPUs. Building the foundation for future growth We continue to secure power ahead of our expectations. We now anticipate ending 2026 with 5 GW of contracted power(5), up from the +4 GW we indicated last quarter. The pace at which we bring capacity to market will accelerate as we plan to deploy more than 1 GW per year, starting in 2027. We expanded our contracted capacity footprint in Q2, with addi-tional sites in the UK, Estonia and Finland. Construction is also underway at some of our owned AI factories in the US. We also continued to progress the buildout supporting our second Meta agreement, with capacity on track to come online in early 2027. New asset-light path to capacity This quarter we introduced an asset-light partnership model to supplement the capacity we bring online ourselves. Capacity remains a binding constraint on AI adoption, and bring-ing capacity online at a rapid pace is central to meeting customer demand. To help unlock this, we launched a model that allows partners to deploy Nebius’s full-stack AI cloud platform in their own AI data centers. Nebius contributes: • Our full-stack AI cloud software, • Our systems architecture and reference designs, and • Our global go-to-market organization that brings the demand. Under this model, partners get fully-owned AI infrastructure assets, designed to Nebius standards, and a fast route to serve the AI cloud market; Nebius converts partner-financed capacity into high-margin revenue with minimal capital outlay. This complements our owned and colocated portfolio while reducing the capital burden of adding capacity for customers. Land and facility Power Hardware Cloud platform Service and software GTM Asset light Hardware Cloud platform Service and software GTM Colocation Hardware Cloud platform Service and software GTM Owned data centers System architecture by Nebius Land and facility Power Land and facility Power Nebius Partner (5) Contracted power, secured by contracted land and power commitments.

6 Cloud: Advancing an open ecosystem across every layer of the stack As enterprises put AI into production, inference is becoming one of the fastest-growing layers of AI infrastructure, and increasing-ly runs on open models for their control, flexibility, and lower cost at scale. Token Factory, our managed inference platform, pow-ers this transition: Production inference workloads more than tripled in Q2 as cus-tomers deployed multiple applications and expanded existing ones. A growing share are agentic (such as search, coding, and customer-facing agents), where a single task drives many model calls, so consumption scales with the complexity of the work automated, rather than with user count. Training and inference are converging. We see that inference and training use cases are not isolated: Those training models require production inference, while those inferencing open-weight models often evolve toward fine-tuning and post-training as they optimize for quality, latency, and cost. • Unlike standalone inference providers, Nebius serves the full workload lifecycle on one platform that will drive better total cost of ownership and utilization of compute. • A growing share of inference demand is generated by train-ing itself — reinforcement learning roll-outs, evaluations, and synthetic data generation. • A digital health Token Factory customer was able to move their AI mental-wellbeing product to a more capable model and cut worst-case response times by orders of magnitude. Model performance. Day-one support for the most advanced models like Kimi K3, GLM-5.2, MiniMax 3 and NVIDIA Nemotron 3 Ultra. • Nebius delivers both accuracy and speed, validated by inde-pendent benchmarks. • In the most recent Endpoint Accuracy Index from Artificial Analysis, Nebius achieved full accuracy parity on GLM-5.2 while delivering among the fastest output speeds of any provider. The benchmark measures how much of a model’s accuracy each inference provider preserves. • The Eigen AI and Clarifai integrations deepened our model optimization, inference systems, and deployment capabilities. Agentic infrastructure. Q2 was Tavily’s first full quarter with-in Nebius, pairing Token Factory’s inference with the real-time web access that agents need for factual accuracy — reasoning and retrieval on one platform. • Tavily’s developer community has grown to more than 2.5 mil-lion developers (from 1 million in February) serving Fortune 500 enterprises and powering production agents. • In Q2, Tavily launched keyless pay-per-search built for autonomous agent consumption, and achieved ISO 27001 certification for enterprise deployments. • As model interfaces standardize, differentiation shifts to cost, latency, reliability, quality in production and to the agentic, multi-step workloads defining the next phase of enterprise AI. Token Factory is built for both. Nebius AI Cloud “Aether 3.6”: Strengthening the core platform In Q2 we shipped Nebius AI Cloud 3.6 (“Aether 3.6”), strengthen-ing the developer experience, governance controls, and storage performance teams need to run AI in production. As our capacity expands and our customer commitments grow, our cloud platform needs to scale with it. We are enhancing our platform to support greater volume as we close larger custom-er contracts. We are also deploying our software stack to new regions as we bring on more data center sites globally. As part of this roadmap, we released the following features as part of Aether 3.6: • Developer experience. The release introduced Nebius Echo, our own AI agent for natural-language infrastructure control, built into Nebius AI Cloud and running on open-source models served by Token Factory. Echo lets customers manage their environment in plain language, asking questions grounded in our documentation, checking live resource status and con-ducting simple operations such as instance creation without commands or additional setup. In the future, Echo will provide automated infrastructure diagnostics and handle complex, multi-step deployments end-to-end. • Security and governance. New controls support sensi-tive workloads in regulated environments, including a Key Management Service with customer-managed encryption keys, Workload Identity Federation for credential-free authentication, Budgets to help FinOps teams set spend-ing limits, and a Bring Your Own Image option for hardened base images. • Storage. Our storage platform saw several enhancements this quarter. Object storage now delivers 30% higher read speed. Shared Filesystem is 3x faster for small-file operations Deepening customer collaboration At our June 9 Inflection Event, we launched our Customer Advisory Board, with AMI, Black Forest Labs, Cloudflare, Cognition, Cohere, Core Automation, Higgsfield, Recraft, Revolut, and Rhoda. This forum brings CEOs, CTOs, founders, and indus-try leaders together to sharpen our customer feedback loop, and keep Nebius at the forefront of AI development. We also opened the Nebius Builder Program in early preview, which provides credits across Nebius AI Cloud, Token Factory, Tavily, and Nebius Academy, with engineering office hours and a builder community. We also launched Nebius Certifications to give AI cloud professionals verifiable credentials. Expanding executive talent In July, we welcomed Lindsey Irvine as our new Chief Marketing Officer. Lindsey brings deep experience leading global market-ing at high-growth technology companies as a multi-time CMO at Square, Benchling and MuleSoft, with prior leadership roles at Salesforce.

7 Other businesses Avride Autonomous vehicle operations achieved important goals in Q2 • The AV-capable fleet has nearly tripled since year-end 2025, exceeding 200 vehicles in May 2026 with more than one mil-lion autonomous miles completed this year. • Avride has completed over 60,000 commercial rides on Uber in Dallas. • The Dallas operating map has doubled since launch, with fur-ther expansion expected. • The R&D fleet continues to collect mileage and data needed to advance our AI technology stack and accelerate the tran-sition to No-Vehicle-Operator (NVO) operations. Robodelivery operations launched in Arlington, Virginia, and Miami through UberEats; new Chartwells Higher Education partnership expands campus reach • Robot deliveries more than tripled year-over-year in Q2 and exceeded 600,000 since inception. • In Q2, Avride launched robodelivery operations in Arlington, VA and Miami through UberEats. • In July, Avride announced a Master Services Agreement with Chartwells Higher Education, one of the largest on-cam-pus food service providers in the US. Bowling Green State University is among the first campuses to launch, with more joining this fall. • Robodelivery operations are live at Indiana University Bloomington. • Momentum is building with vendor partners following a com-petitor’s exit from campus deliveries. TripleTen TripleTen, our edtech business, continues to develop new offerings to meet evolving market opportunities • TripleTen added AI Systems Engineering as a new program in Q2, continuing to build out a comprehensive suite of AI coursework. • Tested new products in the US and expanded its enter-prise-focused B2B offering, with an emphasis on enterprise AI capabilities and synergies across the Nebius ecosystem. • Efficiency improvement and cost reductions have improved segment financial performance.

8 Equity stakes In addition to our non-core businesses, we own equity stakes in both Toloka and ClickHouse, both of which were originally spun out from Nebius Group. Toloka Toloka is a leading provider of scalable, high-quality data essen-tial for LLM, GenAI, and AI agent development. To capture value across the entire AI development stack, Toloka recently executed several strategic platform expansions: • Toloka Arena: An independent suite of benchmarks that eval-uates agentic intelligence on private, non-contaminated tasks to simulate real-world scenarios involving multi-turn tool use, live databases, and strict business rules. With over 40 mod-els evaluated, Arena empowers enterprises to make confident model selections and enables AI labs to license these propri-etary datasets to train and test their own models. • Self-service platform: A major upgrade to the data-label-ling platform, accelerating time-to-scale for data pipelines through API automation, agent-assisted setup, built-in qual-ity controls, and newly integrated synthetic data generation. • Expanded catalog: A significantly broader catalog of expert-validated datasets across high-demand domains, including coding, STEM, reasoning, and RL Gyms. • Physical AI and robotics: Accelerated investment in physical AI, expanding robotics data offerings beyond egocentric vid-eo to include UMI-style data and teleoperation. As of Q2’25 we no longer hold voting control of Toloka. However, we maintain a significant equity stake, and are encouraged by the growing investor interest in the AI data provider market. ClickHouse ClickHouse is an open-source database management system built for real-time data processing and analytics. In January 2026, it was reported that ClickHouse raised $400M in a Series D financing at a valuation of approximately $15B. Following this financing, Nebius Group continues to own a signif-icant minority equity stake in ClickHouse.

9 Financial update Nebius Group once again executed against its financial goals. Q2 group revenue of $582.3 million, was up 454% year-over-year, and up 46% compared to Q1. Year-over-year growth was driven by capacity scaling and supported by higher pricing and improved utilization from a year ago. • Nebius AI cloud revenue was $574.9 million in Q2’26, a 514% increase year-over-year from Q2’25. Our Nebius AI cloud Revenue In USD $ millions Three months ended June 30 Six months ended June 30 2025 2026 Change 2025 2026 Change Revenues 105.1 582.3 454% 156.0 981.3 529% business accounted for approximately 98% of total group rev-enue during the quarter. • Annualized run-rate revenue (ARR)1 of $3.0 billion as of the end of June was up 598% year-over-year and 56% from the $1.9 billion reported at the end of March. In USD $ millions Three months ended June 30 Six months ended June 30 Expense category 2025 2026 Change 2025 2026 Change Cost of revenues 30.1 133.6 344% 54.8 237.4 333% as a percentage of revenues 29% 23% 35% 24% Product development 42.8 191.0 346% 79.3 258.4 226% as a percentage of revenues 41% 33% 51% 26% Sales, general and administrative 68.2 173.9 155% 129.1 317.7 146% as a percentage of revenues 65% 30% 83% 32% Depreciation and amortization 75.2 259.7 245% 124.3 471.7 279% as a percentage of revenues 72% 45% 80% 48% Total operating costs and expenses 216.3 758.2 251% 387.5 1,285.2 232% as a percentage of revenues 206% 130% 248% 131% Operating expense

10 Cost of revenue was $133.6 million in Q2’26, representing an increase of 344% compared to the same period in 2025. • The increase was due to the expansion of our Nebius AI cloud business, with expenses incurred for co-location and operat-ing lease agreements as well as hiring to support our growing operations. • As a percentage of revenue, cost of revenue was 23% in Q2’26, down from 29% in Q2’25, primarily reflecting oper-ating leverage as we scaled capacity. Product development expenses were $191.0 million in Q2’26, representing an increase of 346% compared to the same peri-od in 2025. • The increase in product development expenses was primari-ly driven by hiring in our engineering and development teams to build and enhance our product offerings, as well as $115.9 million of non-recurring expense pertaining to share-based compensation expense and post-combination expenses rec-ognized in connection with the acquisition of Eigen AI. • As a percentage of revenue, product development expenses decreased to 33% from 41% in the prior year. Sales, general and administrative expenses (“SG&A”) were $173.9 million in Q2’26, representing an increase of 155% com-pared to $68.2 million in the same period in 2025. • The increase was primarily driven by hiring to support the growth of our business as well as consulting, legal and other professional fees primarily incurred in connection with acquisition-related activities and financing transactions. • SG&A as a percentage of revenues declined to 30% from 65% in Q2’25. Depreciation and amortization expenses (“D&A”) were $259.7 million in Q2’26, representing an increase of 245% compared to the same period in 2025. • The primary driver of the dollar increase in D&A expenses was the continued investments in GPU-related capital expendi-tures and related data center hardware for the Nebius AI cloud business. • We use a five-year useful life for our server and network equipment based on usage patterns and current utilization commitments, up from the four-year useful life used prior to 2026. • D&A as a percentage of revenue declined to 45% from 72%. Adjusted EBITDA Group adjusted EBITDA of $236.2 million in Q2 improved by $257.2 million year over year. • The continued improvement in Adjusted EBITDA was driven primarily by the strong growth in our Nebius AI cloud busi-ness, which generated adjusted EBITDA of $285.7 million and adjusted EBITDA margin of 49.7%. • We improved group adjusted EBITDA from Q1’26 by $106.7 million from $129.5 million to $236.2 million. In USD $ millions Three months ended June 30 Six months ended June 30 2025 2026 Change 2025 2026 Change Adjusted EBITDA / (loss) (21.0) 236.2 n/m (74.7) 365.7 n/m as a percentage of revenues -20% 41% -48% 37% Capital expenditures In Q2’26, capital expenditures were approximately $5.7 billion, pri-marily driven by purchases of GPUs and GPU-related hardware, and our data center expansion activities. Capital requirements We will continue to invest in capex throughout the year, and intend to use a diversified range of funding sources including: Cash generated from operations and upfront customer payments. • We expect to receive over $9 billion in customer prepayments in 2026. • Upfront payments give us visibility into future cash flows and flexibility on timing of additional financing. We may also enter into debt financing transactions or access the debt capital markets. • We are actively progressing potential debt transactions, including asset-backed financing and corporate-level debt. • In July we entered into our first secured debt financing, raising $775 million priced at SOFR + 2.50%. The vehicle is backed by deployed GPU infrastructure and contracted cash flows from an agreement with an investment-grade customer and demonstrates our ability to fund growth on attractive terms. We have more than $40 billion of cus-tomer commitments. • We plan to continue tapping into these financing options. Our financing options include our at-the-market (ATM) program, which we began using this quarter.

11 • Through June 30, 2026, we sold 12.7 million Class A shares at a weighted-average price of $223.6 per share, generating gross proceeds of approximately $2.8 billion. • As of June 30, 12.3 million shares remained available under the program. And we may also evaluate other financing options, and will ulti-mately pursue the vehicles that best serve the long-term interests of the business. Guidance The company will share a detailed view of guidance on its earn-ings call and webcast. Earnings webcast Nebius Group will host a conference call and earnings webcast at 5:00 a.m. Pacific time/8:00 a.m. Eastern time/2:00 p.m. Central European time on August 12, 2026, to discuss these financial results. To register to participate in the conference call, or to listen to the live audio webcast, please visit Nebius’s Investor Relations website at group.nebius.com/investor-hub. A replay will be available on the same website following the call. Forward-looking statements This document contains forward-looking statements that involve risks and uncertainties. All statements contained or implied other than statements of historical facts, including, without limitation, statements regarding our business plans, market opportuni-ties, capacity buildout plans, capital expenditure requirements, financing requirements and projected financial performance, are forward-looking statements. In some cases, these forward-look-ing statements can be identified by words or phrases such as “may,” “will,” “expect,” “anticipate,” “aim,” “estimate,” “intend,” “plan,” “believe,” “potential,” “continue,” “is/are likely to” or other similar expressions. In addition, these forward-looking statements reflect our current views with respect to future events and are not a guarantee of future performance. Actual results may differ mate-rially from the results predicted or implied by such statements, and our reported results should not be considered as an indica-tion of future performance. The potential risks and uncertainties that could cause actual results to differ from the results pre-dicted or implied by such statements include our ability to: obtain sufficient financing and manage our liquidity and capi-tal resources to support our operations and growth; successfully identify, develop and bring online additional data center capacity on a timely and cost-effective basis, including securing suita-ble sites and access to power; implement and maintain effective internal control over financial reporting; manage supply chain risks and secure required equipment, hardware, materials and services on acceptable terms; compete effectively in a dynamic and com-petitive market while generating sustained customer demand; and manage dependence on key vendors and adapt to techno-logical change. Many of these risks and uncertainties depend on the actions of third parties and are largely outside of our control. Our actu-al results of operations may also differ materially from those stated in or implied by such forward-looking statements as a result of a variety of factors, including those described under the captions “Risk Factors” and “Operating and Financial Review and Prospects” in our Annual Report on Form 20-F for the year ended December 31, 2025 filed with the U.S. Securities and Exchange Commission (“SEC”) on April 30, 2026, which is available on our investor relations website at https://group.nebi-us.com and on the SEC website at www.sec.gov. All information in this document is as of the date hereof, and the Company under-takes no duty to update this information unless required by law. In addition, statements that “we believe” and similar state-ments reflect our beliefs and opinions on the relevant subject. These statements are based upon information available to us as of the date of this document, and while we believe such infor-mation forms a reasonable basis for such statements, such information may be limited or incomplete, and our statements should not be read to indicate that we have conducted an exhaus-tive inquiry into, or review of, all potentially available relevant information. These statements are inherently uncertain, and inves-tors are cautioned not to unduly rely upon these statements. We operate in an evolving environment. New risks emerge from time to time, and it is not possible for our management to predict all risks, nor can we assess the effect of all factors on our busi-ness or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those con-tained in any forward looking statements. You should not rely upon forward looking statements as predictions of future events. We undertake no obligation to update or revise any forward-look-ing statements, whether as a result of new information, future events or otherwise. Disclaimer Links to third-party websites are provided for informational pur-poses only; Nebius is not responsible for the content contained on or accessible through the linked sites. Use of Non-GAAP financial measures To supplement the financial information prepared and presented in accordance with U.S. GAAP, we present the following non-GAAP financial measures: Adjusted EBITDA/(loss) and Adjusted net income/(loss). The presentation of these financial measures is not intended to be considered in isolation or as a substitute for, or superior to, the financial information prepared and present-ed in accordance with U.S. GAAP. For more information on these non-GAAP financial measures, please see the tables captioned “Reconciliations of non-GAAP financial measures to the most directly comparable U.S. GAAP measures”, included following the accompanying financial tables. We define the various non-GAAP financial measures we use as follows:

12 • Adjusted EBITDA / (loss) means U.S. GAAP net income/ (loss) from continuing operations before (1) depreciation and amortization, (2) share-based compensation expense, (3) acquisition and other corporate transaction-related costs, (4) interest income, (5) interest expense, (6) income/(loss) from equity method investments, (7) gain from revaluation of investments in equity securities, (8) other income/(loss), net, (9) income tax expense/(benefit). • Adjusted net income / (loss) means U.S. GAAP net income/ (loss) from continuing operations before (1) share-based compensation expense, (2) acquisition and other corporate transaction-related costs, (3) amortization of debt discount and issuance costs, net of interest expense capitalized, (4) foreign exchange gains/(losses) and (5) gain from revalua-tion of investments in equity securities. Tax effects related to the listed adjustments are excluded from adjusted net income. These non-GAAP financial measures are used by management for evaluating financial performance as well as decision-making. Management believes that these metrics reflect the organic, core operating performance of the company, and therefore are useful to analysts and investors in providing supplemental information that helps them understand, model and forecast the evolution of our operating business. Although our management uses these non-GAAP financial meas-ures for operational decision-making and considers these financial measures to be useful for analysts and investors, we recognize that there are a number of limitations related to such measures. In particular, it should be noted that several of these measures exclude some recurring costs, particularly share-based compen-sation. In addition, the components of the costs that we exclude in our calculation of the measures described above may differ from the components that our peer companies exclude when they report their results of operations. Below we describe why we make particular adjustments to cer-tain U.S. GAAP financial measures: Net income/(loss) from discontinued operations We present Adjusted EBITDA/(loss) and Adjusted net income/(loss) excluding any effects of our discontinued operations. Information on our discontinued operations is disclosed in our Annual Report on Form 20-F for the year ended December 31, 2025 filed with the U.S. Securities and Exchange Commission (“SEC”) on April 30, 2026. Share-based compensation expense Share-based compensation is a significant expense item and an important part of our compensation and incentive pro-grams. As it is highly dependent on our share price at the time of equity award grants, we believe that it is useful for inves-tors and analysts to see certain financial measures excluding the impact of these charges in order to obtain a clearer picture of our operating performance. Foreign exchange gains/(losses) The functional currency of Nebius Group N.V. is the United States Dollar, which is also the Group’s reporting currency. Foreign exchange gain/(loss) dynamics reflect changes in the U.S. dol-lar value of monetary assets and liabilities that are denominated in other currencies, as well as changes in the functional curren-cies of foreign subsidiaries’ monetary assets and liabilities that are denominated in currencies different from their respective local currencies. Because foreign exchange fluctuations are outside of our operational control, we believe that it is useful to present Adjusted EBITDA/(loss), adjusted net income/(loss) and relat-ed margin measures excluding these effects, in order to provide greater clarity regarding our operating performance. Acquisition and other corporate transaction-related costs We believe that it is useful to present Adjusted net income/(loss), Adjusted EBITDA/(loss) and related margin measures exclud-ing impacts not related to our operating activities. Adjusted net income/(loss) and Adjusted EBITDA/(loss) exclude certain expenses related to M&A activities and other expenses related to corporate transactions. Amortization of debt discount and issuance costs, net of inter-est expense capitalized We also adjust net income/(loss) for interest expense repre-senting amortization of the debt discount and issuance costs related to our convertible senior notes, net of interest expense capitalized into cost of our property and equipment. Debt dis-count represents the accretion of the nominal amount of notes payable at maturity, unless the relevant notes have been earli-er repurchased, redeemed or converted in accordance with their terms. We adjust net income/(loss) for the interest expense rec-ognized from amortization of the debt discount and issuance costs due to the significantly different timing of payment in rela-tion to the operating results.

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