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IP

Prezzo International Paper Co

Closed
IP
$33,03
-$0,05(-0,15%)

*Data last updated: 2026-05-10 01:55 (UTC+8)

As of 2026-05-10 01:55, International Paper Co (IP) is priced at $33,03, with a total market cap of $17,48B, a P/E ratio of -5,91, and a dividend yield of 5,60%. Today, the stock price fluctuated between $32,71 and $33,40. The current price is 0,97% above the day's low and 1,10% below the day's high, with a trading volume of 3,56M. Over the past 52 weeks, IP has traded between $29,49 to $38,04, and the current price is -13,17% away from the 52-week high.

IP Key Stats

Yesterday's Close$33,08
Market Cap$17,48B
Volume3,56M
P/E Ratio-5,91
Dividend Yield (TTM)5,60%
Dividend Amount$0,46
Diluted EPS (TTM)6,15
Net Income (FY)-$3,51B
Revenue (FY)$24,89B
Earnings Date2026-07-30
EPS Estimate0,05
Revenue Estimate$6,22B
Shares Outstanding528,68M
Beta (1Y)0.896
Ex-Dividend Date2026-02-23
Dividend Payment Date2026-03-17

About IP

International Paper Company operates as a packaging company primarily in United States, the Middle East, Europe, Africa, Pacific Rim, Asia, and rest of the Americas. It operates through two segments: Industrial Packaging and Global Cellulose Fibers. The Industrial Packaging segment manufactures containerboards, including linerboard, medium, whitetop, recycled linerboard, recycled medium, and saturating kraft. The Global Cellulose Fibers segment provides fluff, market, and specialty pulps that are used in absorbent hygiene products, such as baby diapers, feminine care, adult incontinence, and other non-woven products; tissue and paper products; and non-absorbent end applications, including textiles, filtration, construction material, paints and coatings, reinforced plastics, and other applications. It sells its products directly to end users and converters, as well as through agents, resellers, and paper distributors. The company was founded in 1898 and is headquartered in Memphis, Tennessee.
SectorConsumer Cyclical
IndustryPackaging & Containers
CEOAndrew K. Silvernail
HeadquartersMemphis,TN,US
Official Websitehttps://www.internationalpaper.com
Employees (FY)62,60K
Average Revenue (1Y)$397,68K
Net Income per Employee-$56,16K

Ulteriori informazioni su International Paper Co (IP)

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International Paper Co (IP) Latest News

2026-04-24 04:18China's IP Office Adds AI, Semiconductors, and Brain-Computer Interfaces to Fast-Track Protection ProgramGate News message, April 24 — China's National Intellectual Property Administration announced on April 24 that it will establish comprehensive intellectual property protection for emerging technologies through institutional reforms, enhanced services, and expanded applications. The administration will optimize patent examination policies, offering multiple pathways including priority examination and accelerated review for innovations in artificial intelligence, semiconductors, and related fields. The administration has cumulatively disclosed 890 trademark items and services related to big data, artificial intelligence, and other emerging industries, addressing registration gaps and unclear protection boundaries. Additionally, China has established 82 national-level intellectual property protection centers across the country, covering frontier areas including artificial intelligence, integrated circuits, quantum technology, and brain-computer interfaces, effectively meeting the fast-track protection needs of innovators.2026-04-21 07:31Story (IP) 推出弹性质押并开启 2 亿韩元激励活动Gate News 消息，4 月 21 日——某 CEX 推出 Story (IP) 弹性质押产品，加入 ETH、SOL、TRX 等 15 种现有质押资产行列。激励活动将于 4 月 21 日至 27 日开展，总奖池规模达 2 亿韩元。 $IP 为 Story 协议原生代币。Story 定位为面向 AI 的链上 IP 基础设施，支持数据集、模型及 AI 生成内容的 IP 登记、可编程授权及自动化收益分配。2026-04-16 06:51AnalogBits Unveils Next-Gen Power Management IP for TSMC's N2P Process at 2026 SymposiumGate News message, April 16 — AnalogBits, a subsidiary of South Korean design house SeemiFive, will showcase next-generation power management intellectual property (IP) solutions based on TSMC's advanced N2P (2-nanometer) process at the TSMC 2026 Technology Symposium on April 22 in Santa Clara, California. The announcement was made on April 15. The newly unveiled solutions include integrated On-die LDO (low-dropout regulator) with glitch detection and voltage droop sensing, pinless PVT sensors, and low-power PLL (phase-locked loop) offering real-time power monitoring. The pinless PVT sensor, debuted for the first time, achieves high accuracy of ±3.5°C, while the low-power PLL delivers ultra-low power consumption at 0.5 microwatts per MHz. AnalogBits' new IP addresses technical challenges faced by multi-kilowatt AI and high-performance computing (HPC) systems, which struggle with power density, thermal management, and performance variability issues. The solutions enable power-performance-area (PPA) optimization and intelligent on-chip power management on advanced SoCs. The company, which has shipped billions of IP cores across processes from 0.35 micrometers to 2 nanometers, plans to participate in subsequent TSMC technology symposiums in Taiwan, Europe, China, and Japan to expand global customer engagement.2026-04-03 07:20NFT市场大洗牌：稀缺性失效，IP化与游戏转型决定谁能活到最后Gate News 消息，NFT市场正经历深度重构，少数项目开始从投机资产转向可持续的品牌与知识产权（IP）运营模式。以Pudgy Penguins和Doodles为代表的项目，正通过零售、内容与AI扩展业务边界，其中Pudgy Penguins已实现超1300万美元销售额，显示出从链上资产向现实商业转化的能力。 当前行业分化明显，单纯依赖稀缺性的NFT项目逐渐失去吸引力。CEX CEO Federico Variola指出，多数NFT尚未证明其在加密领域之外具备稳定变现能力，导致估值持续承压。而行业高管 Fernando Lillo Aranda则认为，市场已不再认可“稀缺性即价值”的逻辑，真正具备长期潜力的项目必须构建完整商业模式，并在零售、媒体或游戏领域建立用户需求。 游戏赛道同样发生转向。早期“Play-to-Earn”模式因依赖新用户驱动而难以持续，当前逐步过渡至“Play-to-Own”，强调资产所有权与实际用途。8Blocks联合创始人 Anton Efimenko表示，这一变化降低了抛售压力，使玩家利益与生态长期发展更加一致。 与此同时，NFT IP代币化成为新趋势。该模式提升流动性并扩大参与范围，但也带来治理分散与社区忠诚度下降的风险。随着投机资金进入，项目决策可能偏离长期发展目标，增加品牌运营难度。 整体来看，NFT行业正进入筛选阶段。能够跨越加密周期、建立真实用户需求并形成商业闭环的项目更具生存空间，而依赖短期炒作的资产正逐步退出市场。未来，数字所有权能否在娱乐、文化及消费领域形成稳定价值，将成为NFT发展的关键变量。2026-03-30 01:15某 CEX 泄露 150 万用户数据，黑客通过撞库和爬取方式获取敏感信息Gate News 消息，3 月 30 日，据网络安全平台 VECERT 于 3 月 28 日披露，黑客以 PexRat 为名，在暗网出售包含 150 万名某 CEX 用户个人信息的数据库，内容涵盖姓名、电邮、电话号码、KYC 认证状态、登录 IP 地址及双重验证方式等敏感信息。分析指出，此次事件并非直接入侵该交易所内部服务器，而是攻击者绕过验证码机制，通过撞库与自动化爬取方式获取数据。受影响用户面临 SIM 卡劫持及钓鱼攻击的高风险。此事件发生之际，该交易所机构 OTC 交易业务正高速增长，仅今年 1 至 2 月，交易量已达 2025 年全年总量的 25%。这是继 1 月份 42 万组账号凭证遭泄露后，该交易所再度面临的数据安全危机。

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_**Guillermo Delgado Aparicio** is Global AI Leader at Nisum._ * * * **Discover top fintech news and events!** **Subscribe to FinTech Weekly's newsletter** **Read by executives at JP Morgan, Coinbase, Blackrock, Klarna and more** * * * AI in fintech spans a range of use cases, from fraud detection and algorithmic trading to dynamic credit scoring and personalized product recommendations. Yet, a Financial Conduct Authority report found that of the 75% of firms using AI, only 34% know how it works.  The issue isn't just a lack of awareness. It's a profound misunderstanding of the power and scope of data analytics, the discipline from which AI arises. The mass adoption of generative AI tools has brought the topic to the C-suite. But many of those choosing how to implement AI don’t understand its underlying principles of calculus, statistics, and advanced algorithms.  Take Benford’s Law, a simple statistical principle that flags fraud by spotting patterns in numbers. AI builds on that same kind of math, just scaled to millions of transactions at once. Strip away the hype, and the foundation is still statistics and algorithms. This is why AI literacy at the C-level matters. Leaders who can’t distinguish where analytics ends run the risk of overtrusting systems they don’t understand or underusing them out of fear. And history shows what happens when decision-makers misread technology: regulators once tried to ban international IP calls, only to watch as the technology outpaced the rules. The same dynamic is playing out with AI. You can’t block or blindly adopt it; you need judgment, context, and the ability to steer it responsibly. Fintech leaders must close these gaps to use AI responsibly and effectively. That means understanding where analytics ends and AI begins, building the skills to steer these systems, and applying sound judgment to decide when and how to trust their output. **The Limits, Blind Spots, and Illusions of AI** ------------------------------------------------ Analytics analyzes past and present data to explain what happened and why. AI grows out of that foundation, using advanced analytics to predict what will happen next and, increasingly, to decide or act on it automatically. With its exceptional data processing skills, it’s easy to see why fintech leaders would see AI as their magic bullet. But it can’t solve every problem. Humans still have an innate advantage in pattern recognition, especially when data is incomplete or "dirty." AI can struggle to interpret the contextual nuances that humans can quickly grasp. Yet, it's a mistake to think that imperfect data renders AI useless. Analytical models can work with incomplete data. 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They need to grasp how a model’s statistical accuracy relates to credit risk exposure. And recognize when a variable that looks financially sound (like repayment history) may introduce social or regulatory risk through correlation with a protected class, such as age or ethnicity. This AI fluency comes from sitting with compliance officers to unpack regulations, talking with product managers about user experience, and reviewing model results with data scientists to catch signs of drift or bias. In fintech, 100% risk avoidance is impossible, but with cross-analytical fluency, leaders can pinpoint which risks are worth taking and which will erode shareholder value. This skill also sharpens a leader’s ability to spot and act on bias, not just from a compliance standpoint, but from a strategic and ethical one.  For instance, say an AI-driven credit scoring model skews heavily toward one customer group. 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DirectorAnnie

2 ore fa
英伟达 $NVDA 作为豪门金字塔顶尖的那个人，手指缝漏一点都够底下AI供应链吃半年！ 1. $TSM - 台积电 英伟达GPU核心晶圆代工厂，负责Blackwell/Rubin等先进制程芯片生产，是AI供应链最上游关键伙伴，受益于NVIDIA产能扩张。 2. $SMCI - 超微电脑 英伟达AI服务器主要组装商，提供高性能GPU服务器解决方案，直接受益于数据中心部署需求爆发。 3. $MU - 美光科技 HBM高带宽内存重要供应商，AI训练和推理对内存需求激增，推动其营收强劲增长。 4. $AVGO - 博通 定制AI芯片和网络芯片领导者，与英伟达在NVLink等生态合作，AI半导体收入高速增长。 5. $MRVL - 迈威尔科技 英伟达投资20亿美元，聚焦硅光子和NVLink Fusion定制XPU，是异构计算关键伙伴。 6. $IREN - 艾瑞斯能源 英伟达巨额投资并签订GPU云服务大单，转型AI数据中心运营商，基础设施扩张潜力大。 7. $CRWV - CoreWeave 英伟达重仓的AI云基础设施提供商，专注GPU集群部署，是“NVIDIA生态新云”代表。 8. $NBIS - Nebius Group 英伟达投资的AI云公司，助力全球算力扩展和推理服务。 9. $LITE - 朗美通 英伟达投资的光学组件龙头，高速光模块解决AI数据中心带宽瓶颈。 10. $COHR - 相干公司 与Lumentum同期获英伟达投资，光子学和激光技术核心供应商。 11. $GLW - 康宁 英伟达投资支持光纤基础设施，新工厂扩产应对AI数据中心光纤需求。 12. $ANET - Arista Networks 高性能以太网交换机领导者，连接AI GPU集群的关键网络设备供应商。 13. $VRT - Vertiv 数据中心电源与冷却解决方案提供商，与英伟达深度合作应对高密度AI机架散热。 14. $ARM - Arm Holdings 英伟达投资的CPU/IP架构核心公司，AI芯片设计广泛使用其技术。 15. $ASML - ASML 极紫外光刻机垄断供应商，支持先进制程芯片生产，间接驱动英伟达GPU创新。 16. $CRDO - Credo Technology 高速连接和信号完整性解决方案，受益于AI服务器内部互联需求。 17. $APLD - Applied Digital 英伟达投资的数据中心运营商，专注AI/HPC基础设施建设。 18. $CLS - Celestica AI服务器和硬件制造服务商，在供应链中表现突出。 19. $STX - Seagate 数据中心存储解决方案供应商，AI海量数据存储需求驱动增长。 20. $CIEN - Ciena 光网络设备提供商，支持AI数据中心长距离高速传输。
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