Vtex (VTEX) Stock Analysis and Metrics

Vtex

NYSE: VTEX

$3.89 ▲ +0.01 (+0.39%)

At close: Jul 24, 2026 · 3:59 PM UTC

Financial Ratios

Market Cap668.59 Mn

P/E0.91

P/S1.86

Div. Yield0.00

Revenue Growth (1y) (Qtr)12.06

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About

VTEX is a SaaS digital commerce platform that enables enterprise brands and retailers to build, manage, and scale B2B, B2C, and marketplace commerce experiences. The company provides a composable and complete platform that integrates commerce, order management, and marketplace functionality into a unified system. VTEX empowers customers to orchestrate their network of consumers, suppliers, partners, and fulfillment providers while supporting strategies such as direct-to-consumer, ship-from-store, endless aisle, drop-ship, conversational commerce, and live shopping. The platform is designed for global enterprises seeking to modernize their tech stack and accelerate digital transformation with flexibility, scalability, and AI-driven capabilities.

VTEX generates revenue primarily through a subscription-based model that includes both fixed fees and transaction-based variable components tied to Gross Merchandise Volume (GMV). The transaction-based fee, structured as a take rate on order value including taxes and shipping, constitutes the majority of subscription revenue and aligns the company’s growth with that of its customers. Additional revenue streams include service revenue, retail media solutions such as VTEX Ads, and Weni by VTEX, which offers communication automation and chatbot capabilities. In 2025, subscription revenue accounted for 97.7% of total revenue, while the VTEX platform itself contributed 87.3% of total revenue. The company reported total revenue of $240.5 million in 2025, up from $226.7 million in 2024.

The company operates through the following segments:

• VTEX Platform: This segment delivers the core SaaS commerce infrastructure that supports web, mobile, conversational commerce, live shopping, in-store sales, distributed order management, channel and seller management, content and catalog management, and fulfillment integrations. It enables enterprises to launch and manage online stores, integrate with third-party systems, and deploy omnichannel strategies. The platform includes VTEX IO, a low-code development environment that allows customers and partners to build and embed custom extensions directly into the platform.

• Retail Media: This segment encompasses VTEX Ads, a digital advertising solution that allows online sellers to monetize their digital channels by offering ad space to brand partners and third-party sellers. It includes AI-driven targeting, auction mechanisms, sponsored product placements in search results and galleries, mobile app advertising, and analytics for performance tracking and campaign optimization. Revenue from this segment is derived from ad sales and related services, supporting brands in increasing visibility and engagement across VTEX-powered storefronts.

• Weni by VTEX: This segment provides communication automation solutions, including chatbots and AI-powered customer service tools, designed to enhance customer engagement through conversational commerce. It enables real-time interactions via messaging apps, personalized recommendations, and streamlined support workflows. Weni integrates with the VTEX platform to allow enterprises to automate key commerce operations such as product discovery, order orchestration, and after-sales service, improving conversion and operational efficiency.

VTEX holds a leading position in the digital commerce industry, particularly in Latin America where it is recognized as the largest provider of digital commerce technology. The company competes with global players such as Magento (Adobe), Salesforce Commerce Cloud, SAP Hybris, and Shopify Plus, differentiating itself through its composable architecture, API-first design, and deep enterprise embedment. Its competitive advantages include a powerful ecosystem of over 9,000 VTEX IO extensions, 1,200 system integrators and ISVs, 500 marketplaces, 200 payments solutions, and 90 logistics companies, which create strong network effects. VTEX’s AI-native platform, real-time commerce data aggregation, and ability to support complex, mission-critical operations at scale further strengthen its market position.

VTEX serves a diversified base of approximately 2,200 enterprise customers operating 3,100 active online stores across 44 countries. Its customer base includes large blue-chip companies, with 89.4% of subscription revenue derived from active online stores generating $25,000 or more in annual recurring revenue as of December 31, 2025. The company supports brands and retailers in sectors such as home appliances, apparel and accessories, beauty and health, electronics, grocery, department stores, toys and hobbies, and home, furniture and decoration. Notable customers include manufacturers pursuing direct-to-consumer strategies, fashion and grocery retailers expanding via omnichannel and marketplace models, and enterprises leveraging drop-ship and ship-from-store capabilities. The company’s 10 largest customers represented less than 16% of total revenue in 2025, reflecting a diversified and non-concentrated customer base.

Investment Thesis

▲ Bull case

Vtex is positioning itself as a first-mover in AI-native commerce by rebuilding its platform from the ground up rather than retrofitting AI onto legacy systems, which creates a structural advantage in usability, scalability, and outcome-driven performance that legacy vendors cannot easily replicate. This approach allows Vtex to deliver autonomous agents that diagnose root causes and execute strategic actions—such as its catalog agent optimizing millions of SKUs using real-time shopper data—turning traditionally labor-intensive processes into scalable competitive advantages. The company’s multitenant architecture, built for the cloud era, now serves as a scalable foundation for rapid AI deployment, enabling faster innovation cycles and reduced technical debt compared to competitors burdened by monolithic systems. Early adopters like Whirlpool and TheCapsule are already seeing tangible results, such as compressing two days of manual work into minutes while improving conversion, proving the technology delivers measurable ROI beyond theoretical promises. This deep integration of AI across Commerce, CX, and Ads platforms creates a cohesive ecosystem where improvements in one area (e.g., AI-driven catalog optimization) amplify performance in others (e.g., higher ad conversion from better product data), generating network effects that increase customer stickiness and lifetime value. The launch of the Vtex AI Developer Kit further strengthens this moat by embedding AI assistance into developer workflows via tools like Cursor and Copilot, accelerating internal and partner innovation while locking in ecosystem dependency. Unlike competitors layering AI as a feature, Vtex’s outcome-aligned business model—where value is tied to measurable results like conversion or ROAS—ensures revenue growth scales directly with customer success, creating a self-reinforcing flywheel of adoption, performance, and monetization potential. While current AI monetization remains nascent, the company’s historical precedent of charging by outcomes since 2012 provides a clear path to premium pricing as AI-driven results become more pronounced and widely adopted across enterprise clients.
Vtex’s strategic focus on global expansion and B2B is showing early signs of disproportionate contribution to growth despite representing a smaller share of current revenue, signaling a powerful inflection point as international markets scale. In Q1 2026, global markets (U.S. and Europe) and B2B solutions both grew in the ‘20 handle’—meaning low-20% growth—while Brazil faced macro headwinds, indicating that non-Brazil segments are not only resilient but accelerating relative to the domestic base. The company is closing relevant enterprise brands in the U.S. and Europe with a healthy pipeline, and although sales cycles are longer due to AI wait-and-see behavior among C-suite decision-makers, implementation timelines are shortening thanks to AI-driven efficiency in deployment—a dynamic that improves capital efficiency and reduces time-to-revenue over time. Notably, Vtex is not seeing deterioration in win rates or churn, confirming that the core sales process remains intact despite extended evaluation periods. The launch of B2B channels by major clients like Whirlpool (Brazil), Electrolux (Chile), and Grupo Itchasac (Brazil) validates demand for Vtex as a transactional backbone across complex, multi-country, multi-currency operations—precisely the use case its AI Workspace is designed to optimize at scale. As these international clients ramp up and expand their B2B footprints—such as Dafiti’s entry into Chile—they will drive higher-margin, recurring revenue streams less susceptible to localized promotional volatility than Brazil’s B2C marketplace-driven demand. Furthermore, the company’s deliberate de-emphasis of low-margin services in favor of partner-led implementations is improving gross margins while simultaneously scaling reach through a global ecosystem, turning what was once a cost center into a force multiplier for platform adoption. This shift reduces reliance on Vtex-provided services (which dragged margins historically) and leverages third-party expertise for complex rollouts, allowing the company to focus resources on high-leverage product innovation and AI development.
Vtex’s financial discipline is translating into exceptional operating leverage, with profitability metrics improving at a pace that far outstrips topline growth, suggesting the market is underestimating the scalability of its model and the durability of its margin expansion. In Q1 2026, non-GAAP income from operations doubled year-over-year to $10.6 million, driven by a 770 basis point expansion in operating margin to 17.4%, while subscription revenue grew just 14% in USD (4% FX-neutral). This disproportionate margin expansion stems from structural gains in AI-powered automation—particularly in customer support, where post-sales agents now achieve over 91% automation—and a strategic shift away from services, which reduces drag on gross margin as partners take over complex implementations. Total gross margin reached 80%, up 400 basis points year-over-year, reflecting not only subscription margin strength (81.5%, up 240 bps) but also the success of de-emphasizing lower-margin service revenue. Free cash flow doubled to $13.3 million, yielding a 21.9% free cash flow margin—an extraordinary level for a SaaS company at this scale—demonstrating exceptional cash conversion that exceeds many mature peers. The company is simultaneously investing in R&D (up 6% YoY in operating expenses) to fuel AI innovation while maintaining expense discipline elsewhere, proving it can fund future growth without sacrificing current profitability. Share repurchases under the $50 million program—2.5 million shares bought at $3.86 avg price for $9.7 million total—signal management’s confidence in intrinsic value and commitment to returning capital even amid growth reacceleration efforts. Crucially, these profitability gains are not reliant on one-time factors; the CFO explicitly attributed them to structural efficiency gains across the organization, including AI-driven throughput improvements in product development and sales, which are internalizing the same automation benefits sold to customers. With FX-neutral guidance calling for mid-single-digit subscription revenue growth but low-20s operating and free cash flow margins for FY26, the market may be pricing Vtex as a modest growth story while overlooking its emergence as a high-margin, cash-generative platform business with AI-driven scalability.

Vtex is positioning itself as a first-mover in AI-native commerce by rebuilding its platform from the ground up rather than retrofitting AI onto legacy systems, which creates a structural advantage in usability, scalability, and outcome-driven performance that legacy vendors cannot easily replicate. This approach allows Vtex to deliver autonomous agents that diagnose root causes and execute strategic actions—such as its catalog agent optimizing millions of SKUs using real-time shopper data—turning traditionally labor-intensive processes into scalable competitive advantages. The company’s multitenant architecture, built for the cloud era, now serves as a scalable foundation for rapid AI deployment, enabling faster innovation cycles and reduced technical debt compared to competitors burdened by monolithic systems. Early adopters like Whirlpool and TheCapsule are already seeing tangible results, such as compressing two days of manual work into minutes while improving conversion, proving the technology delivers measurable ROI beyond theoretical promises. This deep integration of AI across Commerce, CX, and Ads platforms creates a cohesive ecosystem where improvements in one area (e.g., AI-driven catalog optimization) amplify performance in others (e.g., higher ad conversion from better product data), generating network effects that increase customer stickiness and lifetime value. The launch of the Vtex AI Developer Kit further strengthens this moat by embedding AI assistance into developer workflows via tools like Cursor and Copilot, accelerating internal and partner innovation while locking in ecosystem dependency. Unlike competitors layering AI as a feature, Vtex’s outcome-aligned business model—where value is tied to measurable results like conversion or ROAS—ensures revenue growth scales directly with customer success, creating a self-reinforcing flywheel of adoption, performance, and monetization potential. While current AI monetization remains nascent, the company’s historical precedent of charging by outcomes since 2012 provides a clear path to premium pricing as AI-driven results become more pronounced and widely adopted across enterprise clients.
Vtex’s strategic focus on global expansion and B2B is showing early signs of disproportionate contribution to growth despite representing a smaller share of current revenue, signaling a powerful inflection point as international markets scale. In Q1 2026, global markets (U.S. and Europe) and B2B solutions both grew in the ‘20 handle’—meaning low-20% growth—while Brazil faced macro headwinds, indicating that non-Brazil segments are not only resilient but accelerating relative to the domestic base. The company is closing relevant enterprise brands in the U.S. and Europe with a healthy pipeline, and although sales cycles are longer due to AI wait-and-see behavior among C-suite decision-makers, implementation timelines are shortening thanks to AI-driven efficiency in deployment—a dynamic that improves capital efficiency and reduces time-to-revenue over time. Notably, Vtex is not seeing deterioration in win rates or churn, confirming that the core sales process remains intact despite extended evaluation periods. The launch of B2B channels by major clients like Whirlpool (Brazil), Electrolux (Chile), and Grupo Itchasac (Brazil) validates demand for Vtex as a transactional backbone across complex, multi-country, multi-currency operations—precisely the use case its AI Workspace is designed to optimize at scale. As these international clients ramp up and expand their B2B footprints—such as Dafiti’s entry into Chile—they will drive higher-margin, recurring revenue streams less susceptible to localized promotional volatility than Brazil’s B2C marketplace-driven demand. Furthermore, the company’s deliberate de-emphasis of low-margin services in favor of partner-led implementations is improving gross margins while simultaneously scaling reach through a global ecosystem, turning what was once a cost center into a force multiplier for platform adoption. This shift reduces reliance on Vtex-provided services (which dragged margins historically) and leverages third-party expertise for complex rollouts, allowing the company to focus resources on high-leverage product innovation and AI development.
Vtex’s financial discipline is translating into exceptional operating leverage, with profitability metrics improving at a pace that far outstrips topline growth, suggesting the market is underestimating the scalability of its model and the durability of its margin expansion. In Q1 2026, non-GAAP income from operations doubled year-over-year to $10.6 million, driven by a 770 basis point expansion in operating margin to 17.4%, while subscription revenue grew just 14% in USD (4% FX-neutral). This disproportionate margin expansion stems from structural gains in AI-powered automation—particularly in customer support, where post-sales agents now achieve over 91% automation—and a strategic shift away from services, which reduces drag on gross margin as partners take over complex implementations. Total gross margin reached 80%, up 400 basis points year-over-year, reflecting not only subscription margin strength (81.5%, up 240 bps) but also the success of de-emphasizing lower-margin service revenue. Free cash flow doubled to $13.3 million, yielding a 21.9% free cash flow margin—an extraordinary level for a SaaS company at this scale—demonstrating exceptional cash conversion that exceeds many mature peers. The company is simultaneously investing in R&D (up 6% YoY in operating expenses) to fuel AI innovation while maintaining expense discipline elsewhere, proving it can fund future growth without sacrificing current profitability. Share repurchases under the $50 million program—2.5 million shares bought at $3.86 avg price for $9.7 million total—signal management’s confidence in intrinsic value and commitment to returning capital even amid growth reacceleration efforts. Crucially, these profitability gains are not reliant on one-time factors; the CFO explicitly attributed them to structural efficiency gains across the organization, including AI-driven throughput improvements in product development and sales, which are internalizing the same automation benefits sold to customers. With FX-neutral guidance calling for mid-single-digit subscription revenue growth but low-20s operating and free cash flow margins for FY26, the market may be pricing Vtex as a modest growth story while overlooking its emergence as a high-margin, cash-generative platform business with AI-driven scalability.

▼ Bear case

Vtex’s near-term growth remains excessively dependent on Brazil, where macroeconomic headwinds—specifically persistently high interest rates and entrenched promotional marketplace behavior—are suppressing consumer demand in proprietary channels and slowing GMV growth to mid-single-digit FX-neutral rates, directly undermining the company’s top-line reacceleration narrative. In Q1 2026, FX-neutral GMV growth in Brazil decelerated from mid-teens in Q4 2025 to the mid-single-digit range, driven by a meaningful moderation in same-store sales, which Ricardo Camatta Sodre identified as the ‘vast majority’ of the guidance downgrade for full-year 2026. Despite efforts to expand globally, Brazil still represents a substantial portion of Vtex’s revenue base, and the continued weakness in consumer spending—exacerbated by consumers favoring marketplaces over branded sites due to aggressive promotions—limits the ability of even AI-enhanced storefronts to drive meaningful conversion gains. The company’s acknowledgment that marketplace promotional intensity is ‘temporarily pressuring proprietary channels’ suggests this is not a transient blip but a structural shift in Brazilian consumer behavior that may persist as long as high interest rates constrain disposable income. While Vtex highlights growth in global markets and B2B, these segments remain relatively small in scale, meaning even strong percentage growth there cannot offset weakness in the dominant Brazil B2C segment in the near term. Furthermore, the company’s reliance on signing new customers in 2025 for future growth introduces execution risk: if those clients face delays in go-live due to extended sales cycles or implementation complexity, the anticipated revenue ramp-up may not materialize as expected. The CFO’s guidance that full-year 2026 subscription revenue will grow at a mid-single-digit FX-neutral rate implies the market should expect tepid top-line expansion for another year, making it difficult to justify premium valuations based on growth alone.
Vtex’s AI-native commerce vision, while technologically impressive, faces significant adoption and monetization uncertainty, with the company itself admitting it is ‘still evaluating the long-term transformational impact of these waves at scale’ and that current AI products are in early adopter phases with limited penetration. Geraldo Thomaz Jr. acknowledged that AI’s biggest value will come from accelerating the sales pipeline as customers see a new way of operating commerce—but this hinges on enterprises overcoming their ‘AI wait-and-see’ mindset, which Mariano Gomide confirmed is lengthening sales cycles across both B2B and B2C segments as companies delay infrastructure decisions until AI’s impact on their stack becomes clearer. This creates a catch-22: Vtex needs widespread AI adoption to prove its value, but customers are unwilling to commit until they see proof—potentially stalling the virtuous cycle the company hopes to ignite. Moreover, while early wins with Whirlpool and TheCapsule show efficiency gains, there is no evidence yet that these AI-driven outcomes are translating into material revenue uplift for Vtex through higher take rates, usage-based fees, or expanded contracts. The company’s current monetization model remains largely tied to legacy subscription structures, and Geraldo’s vague suggestion that ‘we will be able to charge more accordingly’ as AI increases output lacks specificity on pricing mechanics, timing, or customer pushback risk. Competitors may soon offer comparable AI capabilities at lower cost or through partnerships with established cloud players, eroding Vtex’s first-mover advantage before it can establish pricing power. Without a clear, near-term path to monetize AI beyond incremental sales acceleration, the market may view current R&D investments as speculative rather than value-accretive, especially if adoption lags and AI features remain underutilized or perceived as nice-to-have rather than essential.
Vtex operates in an increasingly competitive and fragmented commerce technology landscape where its differentiated AI-native approach may not be sufficient to withstand pressure from both specialized point solutions and deep-pocketed incumbents leveraging broader ecosystems, particularly as traffic fragments beyond traditional channels. Mariano Gomide noted that consumer behavior is shifting toward messaging platforms like WhatsApp, LLMs, and emerging AI interfaces—environments where Vtex has made strides (e.g., integrated WhatsApp store, voice commerce) but where it still faces competition from native players and social commerce platforms that own the customer relationship and data. In a tough macro environment, brands are prioritizing efficiency and conservatism, which could lead them to consolidate vendors or opt for cheaper, ‘good enough’ platforms rather than pay premiums for Vtex’s integrated suite, especially if AI benefits are not yet proven in their specific use cases. While Ricardo Camatta Sodre claimed no meaningful change in competitive intensity among direct commerce technology providers, this assessment may overlook indirect threats: retailers could bypass Vtex entirely by building headless storefronts using composable APIs from AWS, Shopify, or Salesforce, or by adopting open-source solutions enhanced with third-party AI tools. The company’s reliance on a secure data clean room and privacy-first framework for its Ads platform, while commendable, does not immunize it from competition in retail media where giants like Google, Meta, and Amazon offer scale, measurement, and reach that are difficult to match. Furthermore, as Vtex pushes into B2B—a segment Mariana Gomide said is growing in the ‘20 handle’—it encounters entrenched players like SAP Oracle, and Microsoft, whose deep ERP integrations and long-standing relationships pose formidable barriers to displacement. If Vtex fails to convert its technological differentiation into overwhelming market share or pricing power, it risks being perceived as a niche innovator rather than a dominant platform, limiting its ability to sustain the growth and margin expansion priced into its stock.

Vtex’s near-term growth remains excessively dependent on Brazil, where macroeconomic headwinds—specifically persistently high interest rates and entrenched promotional marketplace behavior—are suppressing consumer demand in proprietary channels and slowing GMV growth to mid-single-digit FX-neutral rates, directly undermining the company’s top-line reacceleration narrative. In Q1 2026, FX-neutral GMV growth in Brazil decelerated from mid-teens in Q4 2025 to the mid-single-digit range, driven by a meaningful moderation in same-store sales, which Ricardo Camatta Sodre identified as the ‘vast majority’ of the guidance downgrade for full-year 2026. Despite efforts to expand globally, Brazil still represents a substantial portion of Vtex’s revenue base, and the continued weakness in consumer spending—exacerbated by consumers favoring marketplaces over branded sites due to aggressive promotions—limits the ability of even AI-enhanced storefronts to drive meaningful conversion gains. The company’s acknowledgment that marketplace promotional intensity is ‘temporarily pressuring proprietary channels’ suggests this is not a transient blip but a structural shift in Brazilian consumer behavior that may persist as long as high interest rates constrain disposable income. While Vtex highlights growth in global markets and B2B, these segments remain relatively small in scale, meaning even strong percentage growth there cannot offset weakness in the dominant Brazil B2C segment in the near term. Furthermore, the company’s reliance on signing new customers in 2025 for future growth introduces execution risk: if those clients face delays in go-live due to extended sales cycles or implementation complexity, the anticipated revenue ramp-up may not materialize as expected. The CFO’s guidance that full-year 2026 subscription revenue will grow at a mid-single-digit FX-neutral rate implies the market should expect tepid top-line expansion for another year, making it difficult to justify premium valuations based on growth alone.
Vtex’s AI-native commerce vision, while technologically impressive, faces significant adoption and monetization uncertainty, with the company itself admitting it is ‘still evaluating the long-term transformational impact of these waves at scale’ and that current AI products are in early adopter phases with limited penetration. Geraldo Thomaz Jr. acknowledged that AI’s biggest value will come from accelerating the sales pipeline as customers see a new way of operating commerce—but this hinges on enterprises overcoming their ‘AI wait-and-see’ mindset, which Mariano Gomide confirmed is lengthening sales cycles across both B2B and B2C segments as companies delay infrastructure decisions until AI’s impact on their stack becomes clearer. This creates a catch-22: Vtex needs widespread AI adoption to prove its value, but customers are unwilling to commit until they see proof—potentially stalling the virtuous cycle the company hopes to ignite. Moreover, while early wins with Whirlpool and TheCapsule show efficiency gains, there is no evidence yet that these AI-driven outcomes are translating into material revenue uplift for Vtex through higher take rates, usage-based fees, or expanded contracts. The company’s current monetization model remains largely tied to legacy subscription structures, and Geraldo’s vague suggestion that ‘we will be able to charge more accordingly’ as AI increases output lacks specificity on pricing mechanics, timing, or customer pushback risk. Competitors may soon offer comparable AI capabilities at lower cost or through partnerships with established cloud players, eroding Vtex’s first-mover advantage before it can establish pricing power. Without a clear, near-term path to monetize AI beyond incremental sales acceleration, the market may view current R&D investments as speculative rather than value-accretive, especially if adoption lags and AI features remain underutilized or perceived as nice-to-have rather than essential.
Vtex operates in an increasingly competitive and fragmented commerce technology landscape where its differentiated AI-native approach may not be sufficient to withstand pressure from both specialized point solutions and deep-pocketed incumbents leveraging broader ecosystems, particularly as traffic fragments beyond traditional channels. Mariano Gomide noted that consumer behavior is shifting toward messaging platforms like WhatsApp, LLMs, and emerging AI interfaces—environments where Vtex has made strides (e.g., integrated WhatsApp store, voice commerce) but where it still faces competition from native players and social commerce platforms that own the customer relationship and data. In a tough macro environment, brands are prioritizing efficiency and conservatism, which could lead them to consolidate vendors or opt for cheaper, ‘good enough’ platforms rather than pay premiums for Vtex’s integrated suite, especially if AI benefits are not yet proven in their specific use cases. While Ricardo Camatta Sodre claimed no meaningful change in competitive intensity among direct commerce technology providers, this assessment may overlook indirect threats: retailers could bypass Vtex entirely by building headless storefronts using composable APIs from AWS, Shopify, or Salesforce, or by adopting open-source solutions enhanced with third-party AI tools. The company’s reliance on a secure data clean room and privacy-first framework for its Ads platform, while commendable, does not immunize it from competition in retail media where giants like Google, Meta, and Amazon offer scale, measurement, and reach that are difficult to match. Furthermore, as Vtex pushes into B2B—a segment Mariana Gomide said is growing in the ‘20 handle’—it encounters entrenched players like SAP Oracle, and Microsoft, whose deep ERP integrations and long-standing relationships pose formidable barriers to displacement. If Vtex fails to convert its technological differentiation into overwhelming market share or pricing power, it risks being perceived as a niche innovator rather than a dominant platform, limiting its ability to sustain the growth and margin expansion priced into its stock.

Product and Service Breakdown of Revenue (2025)

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Product and Service Breakdown of Revenue (2025)

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Product and Service Breakdown of Revenue (2025)

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