View Financial HealthMaxLinear 배당 및 자사주 매입배당 기준 점검 0/6MaxLinear 배당금을 지급한 기록이 없습니다.핵심 정보n/a배당 수익률0.4%자사주 매입 수익률총 주주 수익률0.4%미래 배당 수익률0%배당 성장률n/a다음 배당 지급일n/a배당락일n/a주당 배당금n/a배당 성향n/a최근 배당 및 자사주 매입 업데이트업데이트 없음모든 업데이트 보기Recent updates공고 • Jul 29Maxlinear Showcases Panther Storage Accelerator Platform At Fms 2026MaxLinear, Inc. announced it will showcase its Panther Storage Accelerator platform at Future of Memory and Storage (FMS) 2026, held August 4–6 in Santa Clara, California. MaxLinear Panther Storage Accelerator helps organizations scale AI infrastructure by increasing effective storage capacity and enabling support for more AI agents through hardware-accelerated data services. AI clusters are increasingly required to support millions of concurrent agents, driving exponential growth in memory capacity and bandwidth requirements. As agent populations grow, HBM and DDR resources become constrained, increasing memory pressure and reducing GPU and CPU efficiency. Panther addresses these challenges through hardware-accelerated compression, delivering up to a 3× compression ratio on AI data. This increased efficiency can enable up to 2.2× greater effective KV cache capacity, helping systems support up to 2.2× more AI agents within existing infrastructure. Panther combines hardware-accelerated compression, encryption, erasure coding, data integrity services, and high-speed data movement in a single accelerator platform. By offloading these data-intensive functions from host CPUs, Panther helps organizations increase effective storage capacity, improve infrastructure utilization, reduce power consumption, and accelerate AI and storage workloads while lowering overall infrastructure costs. Live demonstrations and technology showcases highlight AI workload compression, OpenZFS acceleration, and peer-to-peer DMA for more efficient AI infrastructure. Live AI Workload Compression Demo — See Panther perform hardware-accelerated compression and decompression on AI datasets, reducing CPU overhead while maintaining the throughput required for modern AI environments. Live Peer-to-Peer DMA Demo — Experience direct PCIe endpoint-to-endpoint data movement enabled by Panther's peer-to-peer DMA architecture, reducing host CPU involvement and memory bandwidth consumption. OpenZFS Acceleration Showcase — Learn how Panther integrates with OpenZFS through the ZIA and DPUSM frameworks to enhance storage performance and infrastructure efficiency. SPDK Compression Offload Showcase — Explore Panther integration with the SPDK framework to accelerate compression and optimize storage and AI data pipelines. Designed for AI and data-intensive workloads, Panther helps organizations maximize storage and compute resources while improving infrastructure efficiency. FMS showcases will highlight how Panther can enable up to 2.5× greater effective storage capacity for AI data while freeing CPU resources for higher-value workloads across enterprise, cloud, hyperscale, and high-performance computing environments. Attendees are invited to visit MaxLinear at Booth #513 during Future of Memory and Storage 2026 to experience Panther through live demonstrations and technology showcases focused on AI data movement, compression acceleration, OpenZFS integration, and peer-to-peer DMA.공고 • Jul 25MaxLinear, Inc. Provides Earnings Guidance for the Third Quarter 2026MaxLinear, Inc. provided earnings guidance for the third quarter 2026. For the period, the company expects Revenue to be in the range of $210 millions to $220 millions.Reported Earnings • Jul 24Second quarter 2026 earnings released: EPS: US$0.02 (vs US$0.31 loss in 2Q 2025)Second quarter 2026 results: EPS: US$0.02 (up from US$0.31 loss in 2Q 2025). Revenue: US$168.8m (up 55% from 2Q 2025). Net income: US$1.76m (up US$28.3m from 2Q 2025). Profit margin: 1.0% (up from net loss in 2Q 2025). The move to profitability was driven by higher revenue. Revenue is forecast to grow 23% p.a. on average during the next 3 years, compared to a 14% growth forecast for the Semiconductor industry in Germany.공고 • Jul 02MaxLinear, Inc. to Report Q2, 2026 Results on Jul 23, 2026MaxLinear, Inc. announced that they will report Q2, 2026 results After-Market on Jul 23, 2026공고 • Jun 29+ 4 more updatesMaxLinear, Inc.(NasdaqGS:MXL) dropped from Russell 3000E Value BenchmarkMaxLinear, Inc.(NasdaqGS:MXL) dropped from Russell 3000E Value BenchmarkBoard Change • Jun 10Insufficient new directorsThere is 1 new director who has joined the board in the last 3 years. The company's board is composed of: 1 new director. 3 experienced directors. 3 highly experienced directors. Independent Director Kris A. Sennesael was the last director to join the board, commencing their role in 2026. 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 JMX 의 주당 배당금이 안정적이었는지 판단하기에는 데이터가 부족합니다.배당금 증가: JMX 의 배당금 지급이 증가했는지 판단하기에는 데이터가 부족합니다.배당 수익률 vs 시장MaxLinear 배당 수익률 vs 시장JMX의 배당 수익률은 시장과 어떻게 비교되나요?구분배당 수익률회사 (JMX)n/a시장 하위 25% (DE)1.5%시장 상위 25% (DE)4.7%업계 평균 (Semiconductor)0.6%분석가 예측 (JMX) (최대 3년)0%주목할만한 배당금: 회사가 최근 지급을 보고하지 않았기 때문에 하위 25%의 배당금 지급자에 대해 JMX 의 배당 수익률을 평가할 수 없습니다.고배당: 회사가 최근 지급을 보고하지 않았기 때문에 배당금 지급자의 상위 25%에 대해 JMX 의 배당 수익률을 평가할 수 없습니다.주주 대상 이익 배당수익 보장: 배당금 지급이 수익으로 충당되는지 확인하기 위해 JMX 의 지급 비율을 계산하기에는 데이터가 부족합니다.주주 현금 배당현금 흐름 범위: JMX 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 분석2026/08/01 08:52종가2026/07/30 00:00수익2026/06/30연간 수익2025/12/31데이터 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 소스MaxLinear, Inc.는 16명의 분석가가 다루고 있습니다. 이 중 11명의 분석가가 우리 보고서에 입력 데이터로 사용되는 매출 또는 수익 추정치를 제출했습니다. 분석가의 제출 자료는 하루 종일 업데이트됩니다.분석가기관Cody AcreeBenchmark CompanyKarl AckermanBNP ParibasJaywant SrivatsaChardan Capital Markets, LLC13명의 분석가 더 보기
공고 • Jul 29Maxlinear Showcases Panther Storage Accelerator Platform At Fms 2026MaxLinear, Inc. announced it will showcase its Panther Storage Accelerator platform at Future of Memory and Storage (FMS) 2026, held August 4–6 in Santa Clara, California. MaxLinear Panther Storage Accelerator helps organizations scale AI infrastructure by increasing effective storage capacity and enabling support for more AI agents through hardware-accelerated data services. AI clusters are increasingly required to support millions of concurrent agents, driving exponential growth in memory capacity and bandwidth requirements. As agent populations grow, HBM and DDR resources become constrained, increasing memory pressure and reducing GPU and CPU efficiency. Panther addresses these challenges through hardware-accelerated compression, delivering up to a 3× compression ratio on AI data. This increased efficiency can enable up to 2.2× greater effective KV cache capacity, helping systems support up to 2.2× more AI agents within existing infrastructure. Panther combines hardware-accelerated compression, encryption, erasure coding, data integrity services, and high-speed data movement in a single accelerator platform. By offloading these data-intensive functions from host CPUs, Panther helps organizations increase effective storage capacity, improve infrastructure utilization, reduce power consumption, and accelerate AI and storage workloads while lowering overall infrastructure costs. Live demonstrations and technology showcases highlight AI workload compression, OpenZFS acceleration, and peer-to-peer DMA for more efficient AI infrastructure. Live AI Workload Compression Demo — See Panther perform hardware-accelerated compression and decompression on AI datasets, reducing CPU overhead while maintaining the throughput required for modern AI environments. Live Peer-to-Peer DMA Demo — Experience direct PCIe endpoint-to-endpoint data movement enabled by Panther's peer-to-peer DMA architecture, reducing host CPU involvement and memory bandwidth consumption. OpenZFS Acceleration Showcase — Learn how Panther integrates with OpenZFS through the ZIA and DPUSM frameworks to enhance storage performance and infrastructure efficiency. SPDK Compression Offload Showcase — Explore Panther integration with the SPDK framework to accelerate compression and optimize storage and AI data pipelines. Designed for AI and data-intensive workloads, Panther helps organizations maximize storage and compute resources while improving infrastructure efficiency. FMS showcases will highlight how Panther can enable up to 2.5× greater effective storage capacity for AI data while freeing CPU resources for higher-value workloads across enterprise, cloud, hyperscale, and high-performance computing environments. Attendees are invited to visit MaxLinear at Booth #513 during Future of Memory and Storage 2026 to experience Panther through live demonstrations and technology showcases focused on AI data movement, compression acceleration, OpenZFS integration, and peer-to-peer DMA.
공고 • Jul 25MaxLinear, Inc. Provides Earnings Guidance for the Third Quarter 2026MaxLinear, Inc. provided earnings guidance for the third quarter 2026. For the period, the company expects Revenue to be in the range of $210 millions to $220 millions.
Reported Earnings • Jul 24Second quarter 2026 earnings released: EPS: US$0.02 (vs US$0.31 loss in 2Q 2025)Second quarter 2026 results: EPS: US$0.02 (up from US$0.31 loss in 2Q 2025). Revenue: US$168.8m (up 55% from 2Q 2025). Net income: US$1.76m (up US$28.3m from 2Q 2025). Profit margin: 1.0% (up from net loss in 2Q 2025). The move to profitability was driven by higher revenue. Revenue is forecast to grow 23% p.a. on average during the next 3 years, compared to a 14% growth forecast for the Semiconductor industry in Germany.
공고 • Jul 02MaxLinear, Inc. to Report Q2, 2026 Results on Jul 23, 2026MaxLinear, Inc. announced that they will report Q2, 2026 results After-Market on Jul 23, 2026
공고 • Jun 29+ 4 more updatesMaxLinear, Inc.(NasdaqGS:MXL) dropped from Russell 3000E Value BenchmarkMaxLinear, Inc.(NasdaqGS:MXL) dropped from Russell 3000E Value Benchmark
Board Change • Jun 10Insufficient new directorsThere is 1 new director who has joined the board in the last 3 years. The company's board is composed of: 1 new director. 3 experienced directors. 3 highly experienced directors. Independent Director Kris A. Sennesael was the last director to join the board, commencing their role in 2026. The company’s insufficient board refreshment is considered a risk according to the Simply Wall St Risk Model.