$935.20
-$35.22(-3.62%)
*Data last updated: 2026-05-23 15:10 (UTC+8)
As of 2026-05-23 15:10, Lumentum (LITE) is priced at $935.20, with a total market cap of $73.66B, a P/E ratio of 252.42, and a dividend yield of 0.00%. Today, the stock price fluctuated between $871.25 and $984.85. The current price is 7.34% above the day's low and 5.04% below the day's high, with a trading volume of 3.01M. Over the past 52 weeks, LITE has traded between $72.29 to $1,085.68, and the current price is -13.86% away from the 52-week high.
LITE Key Stats
Yesterday's Close$964.50
Market Cap$73.66B
Volume3.01M
P/E Ratio252.42
Dividend Yield (TTM)0.00%
Diluted EPS (TTM)6.15
Net Income (FY)$25.90M
Revenue (FY)$1.64B
Earnings Date2026-08-11
EPS Estimate2.96
Revenue Estimate$984.57M
Shares Outstanding76.38M
Beta (1Y)1.533
About LITE
Lumentum Holdings Inc. manufactures and sells optical and photonic products in the Americas, the Asia-Pacific, Europe, the Middle East, and Africa. The company operates in two segments, Optical Communications (OpComms) and Commercial Lasers (Lasers). The OpComms segment offers components, modules, and subsystems that enable the transmission and transport of video, audio, and data over high-capacity fiber optic cables. It offers tunable transponders, transceivers, and transmitter modules; tunable lasers, receivers, and modulators; transport products, such as reconfigurable optical add/drop multiplexers, amplifiers, and optical channel monitors, as well as components, including 980nm, multi-mode, and Raman pumps; and switches, attenuators, photodetectors, gain flattening filters, isolators, wavelength-division multiplexing filters, arrayed waveguide gratings, multiplex/de-multiplexers, and integrated passive modules. This segment also provides Super Transport Blade, which integrates optical transport functions into a single-slot blade; vertical-cavity surface-emitting lasers; directly modulated and electro-absorption modulated lasers; and laser illumination sources for 3D sensing systems. It serves customers in telecommunications, data communications, and consumer and industrial markets. The Commercial Lasers segment offers diode-pumped solid-state, fiber, diode, direct-diode, and gas lasers for use in original equipment manufacturer applications. It serves customers in markets and applications, such as sheet metal processing, general manufacturing, biotechnology, graphics and imaging, remote sensing, and precision machining. Lumentum Holdings Inc. was incorporated in 2015 and is headquartered in San Jose, California.
SectorTechnology
IndustryCommunication Equipment
CEOMichael E. Hurlston
HeadquartersSan Jose,CA,US
Official Websitehttps://www.lumentum.com
Employees (FY)10.56K
Average Revenue (1Y)$155.74K
Net Income per Employee$2.45K
Learn More about Lumentum (LITE)
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Vitalik’s "One-Click Staking" Vision: How DVT-Lite Could Reshape the Ethereum Staking LandscapeIn 2026, Ethereum’s staking rate continues to climb, yet its price performance remains sluggish. This article takes an in-depth look at the DVT-Lite technology strongly advocated by Vitalik, explores the deeper implications of the Ethereum Foundation staking 72,000 ETH, and breaks down the market’s core concerns around staking yield and network security.2026-04-01
Behind the Fall of the $2,000 Threshold: Can DVT-Lite Solve Ethereum’s Staking Dilemma?Ethereum Drops Below $2,000, but Staking Demand Surges. Vitalik Proposes DVT-Lite One-Click Staking Solution—A Deep Dive into Its Mechanism, Market Impact, and Potential Risks2026-03-11
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Lumentum (LITE) Latest News
2026-05-17 02:37Google Cloud Surfaces Gemini 3.2 Flash Lite Model with Inference Costs 95% Lower Than GPT-5.5According to Beating.AI monitoring, a new model option named gemini-3.2-flash-lite-live-preview has appeared in Google Cloud's model selection list as of May 17. The "lite" and "live" suffixes indicate Google is creating a specialized version optimized for ultra-low-latency real-time interactions.
Abacus.AI CEO Bindu Reddy previously disclosed that Gemini 3.2 Flash achieves 92% of GPT-5.5's coding and reasoning capabilities while keeping inference costs at just 1/20th of GPT-5.5's, with most queries returning responses below 200 milliseconds. Industry observers expect this cost-optimized lightweight model to be formally unveiled at Google I/O on May 20.2026-05-08 01:09Google Gemini 3.1 Flash-Lite Officially Launches: Input Price 75% Cheaper Than Claude 4.5 Haiku, GPQA Score 86.9%According to Beating, Google Gemini 3.1 Flash-Lite transitioned from preview to general availability (GA) on May 8, becoming the cheapest and fastest model in the Gemini 3 series. Input pricing is set at $0.25 per million tokens and output at $1.50 per million tokens—input costs 75% less than Claude 4.5 Haiku ($1.00) and output 70% less ($5.00). The model features a 1 million token context window and achieves 363 tokens per second throughput, 45% faster than its predecessor Gemini 2.5 Flash.
Performance benchmarks show GPQA Diamond (graduate-level science reasoning) at 86.9%, surpassing Claude 4.5 Haiku's 73.0% and GPT-5 mini's 82.3%. MMMU-Pro (multimodal reasoning) reaches 76.8%. Early adopters include customer service platform Gladly, which reports 60% cost reduction and 99.6% success rate on production workloads, and JetBrains, integrating Flash-Lite into IDE assistance tools.2026-04-22 14:05Yifan Zhang Discloses DeepSeek V4 Complete Technical Specs: 1.6T Parameters, 384 Experts with 6 ActivationsGate News message, April 22 — Princeton PhD student Yifan Zhang disclosed complete technical specifications for DeepSeek V4 on X, following a preview on April 19. V4 features 1.6 trillion total parameters and a lightweight variant, V4-Lite, with 285 billion parameters.
The model employs DSA2 attention mechanism, which combines DeepSeek's previous DSA (DeepSeek Sparse Attention) from V3.2 and NSA (Native Sparse Attention) with 512-dimensional head embeddings, paired with Sparse Multi-Query Attention (MQA) and Sliding Window Attention (SWA). The MoE (Mixture of Experts) layer contains 384 experts with 6 activated per forward pass, utilizing Fused MoE Mega-Kernel. Residual connections employ Hyper-Connections architecture.
Training details revealed for the first time include the use of Muon optimizer (applying Newton-Schulz orthogonalization to momentum updates), a 32K token pre-training context window, and GRPO (Group Relative Policy Optimization) with KL divergence correction during reinforcement learning. The final context window extends to 1 million tokens. The model is text-only.
Zhang is not employed by DeepSeek, and the company has not officially commented on the disclosed information.2026-03-18 07:30Vitalik Buterin Proposes Streamlined Ethereum Concept, ETH Expected to Balance Speed and SecurityGate News: On March 18, Ethereum co-founder Vitalik Buterin announced that the Ethereum network is moving toward a major upgrade, introducing the concept of "Lean Ethereum" aimed at improving overall network reliability and helping ETH stand out among many mainstream blockchains.
Buterin pointed out that most blockchains currently have to balance speed and security, but Ethereum aims to address both. Lean Ethereum adopts a dual-system architecture: one part focuses on security, ensuring network stability as long as at least 51% of validators are honest; the other part guarantees that the blockchain continues to produce blocks even in case of failures. This design is expected to enhance network resilience without sacrificing speed.
This upgrade could change industry standards for evaluating blockchains. Traditionally, performance is measured by TPS (transactions per second), but Lean Ethereum emphasizes the importance of maintaining secure operation across various environments, which could become a new advantage for ETH compared to other chains.
The community has responded positively to the concept. Some users believe Lean Ethereum could alleviate current debates over speed versus security; others focus on practical performance metrics such as validator activity, finality time, and network throughput to assess the effectiveness of the upgrade. Ultimately, network performance will determine the success of this plan.
Buterin emphasized that Lean Ethereum is still in the planning stage but has a clear direction: not only pursuing speed but also reliable security. If successful, ETH could establish a differentiated advantage in the crypto ecosystem, further solidifying its leadership in smart contract platforms and decentralized applications, with long-term impacts for investors and developers.2026-03-10 06:12Vitalik Buterin proposes the idea of "one-click Ethereum staking": DVT-lite may lower the barrier to institutional participationMarch 10 News: Ethereum co-founder Vitalik Buterin recently revealed that the Ethereum Foundation successfully staked approximately 72,000 ETH by February 2026 using a simplified distributed validator technology called DVT-lite. This experimental approach aims to significantly lower the technical barriers for institutional participation in Ethereum staking and explore a more straightforward distributed validation model.
At the X Conference, Buterin stated that the goal of DVT-lite is to enable institutional users to deploy Ethereum staking with a "one-click operation." He explained that users only need to select the computer running the node and create a unified configuration file, after which the system automatically sets up the validator nodes, allowing multiple servers to share the same validator key and operate collaboratively.
Compared to traditional staking methods, this solution strikes a balance between stability and operational complexity. In conventional single-node staking, if a server crashes, the network goes offline, or an attack occurs, the validator may face penalties. Full DVT (Distributed Validation Technology) offers higher security but involves complex deployment processes and higher maintenance costs. DVT-lite allows multiple machines to share the same validation key; if one node fails, others can quickly take over, reducing downtime and penalty risks.
The Ethereum Foundation launched a staking program based on this technology in late February. Currently, related assets have entered the validator queue and are expected to be fully staked by March 19. Buterin also indicated that future automation could be achieved through Docker containers or Nix images, enabling institutions or professional investors to run validator nodes with minimal effort.
Additionally, Buterin believes that viewing blockchain infrastructure as a system only accessible to experts conflicts with the principles of decentralization. Lowering the technical barriers to staking can expand the pool of node operators and further enhance Ethereum’s decentralization.
Despite market price pressures, demand for Ethereum staking remains high. Data shows that about 3.2 million ETH are currently queued for staking, with an estimated wait time of around 55 days, while only about 29,000 ETH are in the exit queue. The total staked ETH across the network has reached approximately 37.5 million, worth about $76.5 billion at current prices, accounting for roughly 31% of the total supply.
Industry analysts believe that if technologies like DVT-lite mature and are widely adopted, there could be new developments in institutional participation in Ethereum staking, distributed validator deployment, and the network’s security structure.
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