View Past PerformanceMaxLinear バランスシートの健全性財務の健全性 基準チェック /66MaxLinearの総株主資本は$484.8M 、総負債は$123.9Mで、負債比率は25.6%となります。総資産と総負債はそれぞれ$822.6Mと$337.7Mです。主要情報25.56%負債資本比率US$123.93m負債インタレスト・カバレッジ・レシオn/a現金US$64.81mエクイティUS$484.84m負債合計US$337.73m総資産US$822.57m財務の健全性に関する最新情報更新なしすべての更新を表示Recent updatesお知らせ • 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.お知らせ • 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.お知らせ • 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お知らせ • 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.財務状況分析短期負債: JMXの 短期資産 ( $298.7M ) が 短期負債 ( $168.1M ) を超えています。長期負債: JMXの短期資産 ( $298.7M ) が 長期負債 ( $169.6M ) を上回っています。デット・ツー・エクイティの歴史と分析負債レベル: JMXの 純負債対資本比率 ( 12.2% ) は 満足できる 水準であると考えられます。負債の削減: JMXの負債対資本比率は、過去 5 年間で79.8%から25.6%に減少しました。貸借対照表キャッシュ・ランウェイ分析過去に平均して赤字であった企業については、少なくとも1年間のキャッシュ・ランウェイがあるかどうかを評価する。安定したキャッシュランウェイ: 利益は出ていないものの、 JMXは現在のプラスの フリーキャッシュフロー レベルを維持すれば、3 年以上は十分な キャッシュランウェイ を有しています。キャッシュランウェイの予測: JMXは利益は出ていませんが、フリーキャッシュフローがプラスで年間32.9 % 減少しているにもかかわらず、3 年以上は十分なキャッシュランウェイがあります。健全な企業の発掘7D1Y7D1Y7D1YSemiconductors 業界の健全な企業。View Dividend企業分析と財務データの現状データ最終更新日（UTC時間）企業分析2026/08/01 11:57終値2026/07/30 00:00収益2026/06/30年間収益2025/12/31データソース企業分析に使用したデータはS&P Global Market Intelligence LLC のものです。本レポートを作成するための分析モデルでは、以下のデータを使用しています。データは正規化されているため、ソースが利用可能になるまでに時間がかかる場合があります。パッケージデータタイムフレーム米国ソース例会社財務10年損益計算書キャッシュ・フロー計算書貸借対照表SECフォーム10-KSECフォーム10-Qアナリストのコンセンサス予想+プラス3年予想財務アナリストの目標株価アナリストリサーチレポートBlue Matrix市場価格30年株価配当、分割、措置ICEマーケットデータSECフォームS-1所有権10年トップ株主インサイダー取引SECフォーム4SECフォーム13Dマネジメント10年リーダーシップ・チーム取締役会SECフォーム10-KSECフォームDEF 14A主な進展10年会社からのお知らせSECフォーム8-K* 米国証券を対象とした例であり、非米国証券については、同等の規制書式および情報源を使用。特に断りのない限り、すべての財務データは1年ごとの期間に基づいていますが、四半期ごとに更新されます。これは、TTM（Trailing Twelve Month）またはLTM（Last Twelve Month）データとして知られています。詳細はこちら。分析モデルとスノーフレークこのレポートを生成するために使用した分析モデルの詳細は、当社のGitHubページでご覧いただけます。また、レポートの活用方法に関するガイドやYouTubeのチュートリアルも用意しています。シンプリー・ウォールストリート分析モデルを設計・構築した世界トップクラスのチームについてご紹介します。業界およびセクターの指標私たちの業界とセクションの指標は、Simply Wall Stによって6時間ごとに計算されます。アナリスト筋MaxLinear, Inc. 11 これらのアナリストのうち、弊社レポートのインプットとして使用した売上高または利益の予想を提出したのは、 。アナリストの投稿は一日中更新されます。16 アナリスト機関Cody AcreeBenchmark CompanyKarl AckermanBNP ParibasJaywant SrivatsaChardan Capital Markets, LLC13 その他のアナリストを表示
お知らせ • 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.
お知らせ • 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.
お知らせ • 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
お知らせ • 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.