View Financial HealthEverpure 배당 및 자사주 매입배당 기준 점검 0/6Everpure 배당금을 지급한 기록이 없습니다.핵심 정보n/a배당 수익률2.2%자사주 매입 수익률총 주주 수익률2.2%미래 배당 수익률0%배당 성장률n/a다음 배당 지급일n/a배당락일n/a주당 배당금n/a배당 성향n/a최근 배당 및 자사주 매입 업데이트업데이트 없음모든 업데이트 보기Recent updatesRecent Insider Transactions • Jul 14Chairman & CEO recently sold €9.5m worth of stockOn the 10th of July, Charles Giancarlo sold around 136k shares on-market at roughly €70.30 per share. This transaction amounted to 6.2% of their direct individual holding at the time of the trade. In the last 3 months, there was an even bigger sale from another insider worth €15m. This was Charles' only on-market trade for the last 12 months.공고 • Jul 09Super Micro Computer Launches Kubernetes Edge AI Appliances In Collaboration With Red Hat And EverpureSuper Micro Computer, Inc. announced the launch of Kubernetes Edge AI appliances in collaboration with Red Hat and Everpure. Supermicro has validated a full-stack edge Kubernetes solution, powered by the industry's leading Kubernetes-driven hybrid cloud application platform, Red Hat OpenShift, and the first Kubernetes data management platform tailored for AI workloads from Portworx by Everpure. This turnkey appliance, complete with preloaded software and hardware, is made available to customers through Supermicro. By combining Red Hat OpenShift with Supermicro's edge computing infrastructure and the Portworx by Everpure data management platform for AI workloads, organizations can more easily deploy, manage, scale, and secure AI applications across distributed edge environments. Portworx by Everpure provides the Kubernetes-native storage and data management layer for Supermicro's Edge AI Appliances. This enables enterprises to run AI inference, containers, and virtual machines at edge locations with the same enterprise-grade data services available in their core data centers. Unlike array-based storage solutions that require dedicated hardware at each site, Portworx offers software-defined, aggregated local storage on Supermicro's compact edge servers into a resilient, self-healing data platform that operates autonomously, even during network outages. The result is enterprise-grade high availability and data protection at every edge location, with consistent storage policies and a unified operational experience that extends seamlessly from edge to core to cloud. Supermicro is a leader in computing edge infrastructure, with one of the largest, most energy efficient, and most diverse portfolios of edge servers and devices, in a full range of form factors. This enables Supermicro to develop tailored solutions for each customer use case, with optimized initial acquisition cost, and total-cost-of-ownership (TCO). Supermicro DCBBS delivers complete, modular AI infrastructure built from validated components and subsystems, enabling flexible deployment from individual servers and networking to full rack-scale and data center-level solutions, including software and services. Supermicro continues to lead the industry with its comprehensive portfolio of AI infrastructure solutions, enabling organizations worldwide to deploy scalable, efficient, and environmentally responsible AI data centers.공고 • Jun 29+ 2 more updatesEverpure, Inc.(NYSE:P) dropped from Russell 2500 IndexEverpure, Inc.(NYSE:P) dropped from Russell 2500 Index공고 • Jun 17+ 1 more updateEverpure Announces Availability Of Everpure Data Stream Based On NVIDIA AI Data Platform Reference DesignEverpure had announced the availability of Everpure Data Stream, based on NVIDIA AI Data Platform reference design, which brings advanced AI capabilities directly to enterprise data where it already lives. It enhances Everpure's comprehensive enterprise strategy to deliver AI-ready data. Everpure Data Stream addresses these friction points by reducing raw data preparation from months to minutes, enforcing stream-level access controls that keep information securely within the corporate network, and providing a scale-out architecture that lets storage and compute scale independently to match changing model requirements. Everpure enables these outcomes end-to-end on the AI path. Everpure Data Intelligence (formerly 1touch) solves this by discovering, classifying, and contextualizing enterprise information at its source to map data dependencies into a data relationship graph. This universal data intelligence layer makes data understanding and relationships available via APIs and the Model Context Protocol (MCP), delivering highly relevant, accurate data inputs to AI models. Data Intelligence provides attribute-based access controls with security and governance policies—ensuring rigorous compliance across all AI workloads to guarantee enterprise-grade trust. The availability of Everpure Data Stream accelerates enterprise AI projects by removing cost and complexity barriers. Everpure Data Stream extends upon the NVIDIA AI Data Platform reference design to deliver the foundation enterprises need to seamlessly convert unstructured data into real-time AI results. By replacing manual data ingestion and manipulation with a GPU accelerated pipeline from ingestion to inference, Data Stream helps organizations see results faster. Everpure is also developing next generation AI solutions with NVIDIA STX, a modular foundation for AI-native storage using NVIDIA Vera and the NVIDIA Vera BlueField-4 STX storage processor. This collaboration focuses on bringing acceleration, security and intelligent data services closer to enterprise data as organizations deploy agentic AI at scale. FlashBlade delivers ultra-low latency and leverages KV Cache Accelerator to optimize memory efficiency during inference. Powered by the non-disruptive Evergreen architecture, organizations can start with FlashBlade//S and scale seamlessly to FlashBlade//EXA for GPU-cloud scale, effortlessly expanding from data stream to large AI factories. Portworx provides the container platform needed to seamlessly deploy, manage, and run these AI pipelines from the edge to the core data center. By delivering on these capabilities within a single, cohesive architecture, Everpure eliminates the temptation to build yet another wave of fragmented data silos. A new, commissioned IDC Global AI Readiness Survey reveals that 94% of IT leaders identify data quality as the absolute determining factor in AI success. Everpure's unified foundation gives enterprises the long-term flexibility and agility required to adapt as the broader AI landscape continues to evolve.Reported Earnings • Jun 09First quarter 2027 earnings released: EPS: US$0.073 (vs US$0.043 loss in 1Q 2026)First quarter 2027 results: EPS: US$0.073 (up from US$0.043 loss in 1Q 2026). Revenue: US$1.05b (up 35% from 1Q 2026). Net income: US$24.1m (up US$38.1m from 1Q 2026). Profit margin: 2.3% (up from net loss in 1Q 2026). The move to profitability was driven by higher revenue. Revenue is forecast to grow 14% p.a. on average during the next 3 years, compared to a 9.4% growth forecast for the Tech industry in Europe.Board Change • Jun 09Insufficient new directorsNo new directors have joined the board in the last 3 years. The company's board is composed of: No new directors. 6 experienced directors. 4 highly experienced directors. Independent Director John Murphy was the last director to join the board, commencing their role in 2021. The company’s insufficient board refreshment is considered a risk according to the Simply Wall St Risk Model.지급의 안정성과 성장배당 데이터 가져오는 중안정적인 배당: 과거에 6PU 의 주당 배당금이 안정적이었는지 판단하기에는 데이터가 부족합니다.배당금 증가: 6PU 의 배당금 지급이 증가했는지 판단하기에는 데이터가 부족합니다.배당 수익률 vs 시장Everpure 배당 수익률 vs 시장6PU의 배당 수익률은 시장과 어떻게 비교되나요?구분배당 수익률회사 (6PU)n/a시장 하위 25% (DE)1.5%시장 상위 25% (DE)4.7%업계 평균 (Tech)1.5%분석가 예측 (6PU) (최대 3년)0%주목할만한 배당금: 회사가 최근 지급을 보고하지 않았기 때문에 하위 25%의 배당금 지급자에 대해 6PU 의 배당 수익률을 평가할 수 없습니다.고배당: 회사가 최근 지급을 보고하지 않았기 때문에 배당금 지급자의 상위 25%에 대해 6PU 의 배당 수익률을 평가할 수 없습니다.주주 대상 이익 배당수익 보장: 배당금 지급이 수익으로 충당되는지 확인하기 위해 6PU 의 지급 비율을 계산하기에는 데이터가 부족합니다.주주 현금 배당현금 흐름 범위: 6PU 에서 지급을 보고하지 않았기 때문에 배당 지속 가능성을 계산할 수 없습니다.높은 배당을 제공하는 우량 기업 찾기7D1Y7D1Y7D1YDE 시장에서 배당이 강한 기업.View Management기업 분석 및 재무 데이터 상태데이터최종 업데이트 (UTC 시간)기업 분석2026/07/27 08:08종가2026/07/27 00:00수익2026/05/03연간 수익2026/02/01데이터 소스당사의 기업 분석에 사용되는 데이터는 S&P Global Market Intelligence LLC에서 제공됩니다. 아래 데이터는 이 보고서를 생성하기 위해 분석 모델에서 사용됩니다. 데이터는 정규화되므로 소스가 제공된 후 지연이 발생할 수 있습니다.패키지데이터기간미국 소스 예시 *기업 재무제표10년손익계산서현금흐름표대차대조표SEC 양식 10-KSEC 양식 10-Q분석가 컨센서스 추정치+3년재무 예측분석가 목표주가분석가 리서치 보고서Blue Matrix시장 가격30년주가배당, 분할 및 기타 조치ICE 시장 데이터SEC 양식 S-1지분 구조10년주요 주주내부자 거래SEC 양식 4SEC 양식 13D경영진10년리더십 팀이사회SEC 양식 10-KSEC 양식 DEF 14A주요 개발10년회사 공시SEC 양식 8-K* 미국 증권에 대한 예시이며, 비(非)미국 증권에는 해당 국가의 규제 서식 및 자료원을 사용합니다.별도로 명시되지 않는 한 모든 재무 데이터는 연간 기간을 기준으로 하지만 분기별로 업데이트됩니다. 이를 TTM(최근 12개월) 또는 LTM(지난 12개월) 데이터라고 합니다. 자세히 알아보기.분석 모델 및 스노우플레이크이 보고서를 생성하는 데 사용된 분석 모델의 세부 정보는 당사의 GitHub 페이지에서 확인하실 수 있습니다. 또한 보고서 사용 방법에 대한 가이드와 YouTube 튜토리얼도 제공하고 있습니다.Simply Wall St 분석 모델을 설계하고 구축한 세계적 수준의 팀에 대해 알아보세요.산업 및 섹터 지표산업 및 섹터 지표는 Simply Wall St가 6시간마다 계산하며, 프로세스에 대한 자세한 내용은 Github에서 확인할 수 있습니다.분석가 소스Everpure, Inc.는 37명의 분석가가 다루고 있습니다. 이 중 19명의 분석가가 우리 보고서에 입력 데이터로 사용되는 매출 또는 수익 추정치를 제출했습니다. 분석가의 제출 자료는 하루 종일 업데이트됩니다.분석가기관Jayson NolandBairdTimothy LongBarclaysTimothy LongBMO Capital Markets Equity Research34명의 분석가 더 보기
Recent Insider Transactions • Jul 14Chairman & CEO recently sold €9.5m worth of stockOn the 10th of July, Charles Giancarlo sold around 136k shares on-market at roughly €70.30 per share. This transaction amounted to 6.2% of their direct individual holding at the time of the trade. In the last 3 months, there was an even bigger sale from another insider worth €15m. This was Charles' only on-market trade for the last 12 months.
공고 • Jul 09Super Micro Computer Launches Kubernetes Edge AI Appliances In Collaboration With Red Hat And EverpureSuper Micro Computer, Inc. announced the launch of Kubernetes Edge AI appliances in collaboration with Red Hat and Everpure. Supermicro has validated a full-stack edge Kubernetes solution, powered by the industry's leading Kubernetes-driven hybrid cloud application platform, Red Hat OpenShift, and the first Kubernetes data management platform tailored for AI workloads from Portworx by Everpure. This turnkey appliance, complete with preloaded software and hardware, is made available to customers through Supermicro. By combining Red Hat OpenShift with Supermicro's edge computing infrastructure and the Portworx by Everpure data management platform for AI workloads, organizations can more easily deploy, manage, scale, and secure AI applications across distributed edge environments. Portworx by Everpure provides the Kubernetes-native storage and data management layer for Supermicro's Edge AI Appliances. This enables enterprises to run AI inference, containers, and virtual machines at edge locations with the same enterprise-grade data services available in their core data centers. Unlike array-based storage solutions that require dedicated hardware at each site, Portworx offers software-defined, aggregated local storage on Supermicro's compact edge servers into a resilient, self-healing data platform that operates autonomously, even during network outages. The result is enterprise-grade high availability and data protection at every edge location, with consistent storage policies and a unified operational experience that extends seamlessly from edge to core to cloud. Supermicro is a leader in computing edge infrastructure, with one of the largest, most energy efficient, and most diverse portfolios of edge servers and devices, in a full range of form factors. This enables Supermicro to develop tailored solutions for each customer use case, with optimized initial acquisition cost, and total-cost-of-ownership (TCO). Supermicro DCBBS delivers complete, modular AI infrastructure built from validated components and subsystems, enabling flexible deployment from individual servers and networking to full rack-scale and data center-level solutions, including software and services. Supermicro continues to lead the industry with its comprehensive portfolio of AI infrastructure solutions, enabling organizations worldwide to deploy scalable, efficient, and environmentally responsible AI data centers.
공고 • Jun 29+ 2 more updatesEverpure, Inc.(NYSE:P) dropped from Russell 2500 IndexEverpure, Inc.(NYSE:P) dropped from Russell 2500 Index
공고 • Jun 17+ 1 more updateEverpure Announces Availability Of Everpure Data Stream Based On NVIDIA AI Data Platform Reference DesignEverpure had announced the availability of Everpure Data Stream, based on NVIDIA AI Data Platform reference design, which brings advanced AI capabilities directly to enterprise data where it already lives. It enhances Everpure's comprehensive enterprise strategy to deliver AI-ready data. Everpure Data Stream addresses these friction points by reducing raw data preparation from months to minutes, enforcing stream-level access controls that keep information securely within the corporate network, and providing a scale-out architecture that lets storage and compute scale independently to match changing model requirements. Everpure enables these outcomes end-to-end on the AI path. Everpure Data Intelligence (formerly 1touch) solves this by discovering, classifying, and contextualizing enterprise information at its source to map data dependencies into a data relationship graph. This universal data intelligence layer makes data understanding and relationships available via APIs and the Model Context Protocol (MCP), delivering highly relevant, accurate data inputs to AI models. Data Intelligence provides attribute-based access controls with security and governance policies—ensuring rigorous compliance across all AI workloads to guarantee enterprise-grade trust. The availability of Everpure Data Stream accelerates enterprise AI projects by removing cost and complexity barriers. Everpure Data Stream extends upon the NVIDIA AI Data Platform reference design to deliver the foundation enterprises need to seamlessly convert unstructured data into real-time AI results. By replacing manual data ingestion and manipulation with a GPU accelerated pipeline from ingestion to inference, Data Stream helps organizations see results faster. Everpure is also developing next generation AI solutions with NVIDIA STX, a modular foundation for AI-native storage using NVIDIA Vera and the NVIDIA Vera BlueField-4 STX storage processor. This collaboration focuses on bringing acceleration, security and intelligent data services closer to enterprise data as organizations deploy agentic AI at scale. FlashBlade delivers ultra-low latency and leverages KV Cache Accelerator to optimize memory efficiency during inference. Powered by the non-disruptive Evergreen architecture, organizations can start with FlashBlade//S and scale seamlessly to FlashBlade//EXA for GPU-cloud scale, effortlessly expanding from data stream to large AI factories. Portworx provides the container platform needed to seamlessly deploy, manage, and run these AI pipelines from the edge to the core data center. By delivering on these capabilities within a single, cohesive architecture, Everpure eliminates the temptation to build yet another wave of fragmented data silos. A new, commissioned IDC Global AI Readiness Survey reveals that 94% of IT leaders identify data quality as the absolute determining factor in AI success. Everpure's unified foundation gives enterprises the long-term flexibility and agility required to adapt as the broader AI landscape continues to evolve.
Reported Earnings • Jun 09First quarter 2027 earnings released: EPS: US$0.073 (vs US$0.043 loss in 1Q 2026)First quarter 2027 results: EPS: US$0.073 (up from US$0.043 loss in 1Q 2026). Revenue: US$1.05b (up 35% from 1Q 2026). Net income: US$24.1m (up US$38.1m from 1Q 2026). Profit margin: 2.3% (up from net loss in 1Q 2026). The move to profitability was driven by higher revenue. Revenue is forecast to grow 14% p.a. on average during the next 3 years, compared to a 9.4% growth forecast for the Tech industry in Europe.
Board Change • Jun 09Insufficient new directorsNo new directors have joined the board in the last 3 years. The company's board is composed of: No new directors. 6 experienced directors. 4 highly experienced directors. Independent Director John Murphy was the last director to join the board, commencing their role in 2021. The company’s insufficient board refreshment is considered a risk according to the Simply Wall St Risk Model.