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SE

SEA LTD-ADR Price

SE
$85.49
+$0.05(+0.05%)

*Data last updated: 2026-04-27 22:55 (UTC+8)

As of 2026-04-27 22:55, SEA LTD-ADR (SE) is priced at $85.49, with a total market cap of $52.33B, a P/E ratio of 48.09, and a dividend yield of 0.00%. Today, the stock price fluctuated between $84.47 and $86.49. The current price is 1.20% above the day's low and 1.15% below the day's high, with a trading volume of 3.27M. Over the past 52 weeks, SE has traded between $80.30 to $93.43, and the current price is -8.49% away from the 52-week high.

SE Key Stats

Yesterday's Close$83.35
Market Cap$52.33B
Volume3.27M
P/E Ratio48.09
Dividend Yield (TTM)0.00%
Dividend Amount$0.44
Diluted EPS (TTM)2.63
Net Income (FY)$1.57B
Revenue (FY)$22.93B
Earnings Date2026-05-12
EPS Estimate0.82
Revenue Estimate$6.45B
Shares Outstanding627.84M
Beta (1Y)1.697
Ex-Dividend Date2017-02-13
Dividend Payment Date2017-03-01

About SE

Sea Limited, together with its subsidiaries, engages in the digital entertainment, e-commerce, and digital financial service businesses in Southeast Asia, Latin America, rest of Asia, and internationally. It offers Garena digital entertainment platform for users to access mobile and PC online games, as well as eSports operations; and access to other entertainment content, including livestreaming of gameplay and social features, such as user chat and online forums. The company also operates Shopee e-commerce platform, a mobile-centric marketplace that provides integrated payment and logistics infrastructure and seller services. In addition, it offers SeaMoney digital financial services to individuals and businesses, including offline and online mobile wallet, and payment processing services, as well as other offerings across credit, insurtech, and digital bank services under the ShopeePay, SPayLater, SeaBank, and other digital financial services brands; and payment processing services for Shopee. The company was formerly known as Garena Interactive Holding Limited and changed its name to Sea Limited in April 2017. Sea Limited was incorporated in 2009 and is headquartered in Singapore.
SectorConsumer Cyclical
IndustrySpecialty Retail
CEOXiaodong Li
HeadquartersSingapore,None,SG
Official Websitehttps://www.sea.com
Employees (FY)10.00
Average Revenue (1Y)$2.29B
Net Income per Employee$157.81M

SEA LTD-ADR (SE) FAQ

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SEA LTD-ADR (SE) is currently trading at $85.49, with a 24h change of +0.05%. The 52-week trading range is $80.30–$93.43.

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Hot Posts About SEA LTD-ADR (SE)

BlockChainReporter

BlockChainReporter

4 hours ago
There’s a version of the quantum computing story that plays on loop every year: a breathless press release, a number so large it breaks comprehension, and then silence. 2024 felt different to researchers who actually follow this field closely. Not because of one announcement, but because of three separate breakthrough moments that happened within months of each other — each from a different company using a fundamentally different approach to the same problem. When that happens simultaneously across hardware architectures, it’s usually a sign the field is moving rather than spinning. Here’s what actually changed in 2024, why each development matters, and what the honest caveats are. Google Willow: The Chip That Changed the Error Correction Conversation The biggest news of the year landed on December 9, 2024. Google’s quantum AI team unveiled Willow — a 105-qubit superconducting processor built at their dedicated fabrication facility at UC Santa Barbara — and what it demonstrated was not just a faster chip. It was proof of something the field had been trying to establish for nearly three decades. The core achievement: as Google added more qubits to Willow, the error rate went down instead of up. That sounds simple. It isn’t. For years, the central frustration of quantum computing was that more qubits meant more noise, more instability, more errors cascading through calculations. You could build a bigger system, but it would be less reliable. Willow broke that relationship. Using its error correction architecture, the chip demonstrated what’s called “below-threshold” operation — the point at which scaling actually helps rather than hurts. The benchmark Google ran alongside this announcement became instantly famous: Willow completed a random circuit sampling computation in under five minutes that would take today’s fastest classical supercomputer 10 septillion years — that’s 10²⁵ years, roughly a million times the current age of the universe. As Hartmut Neven, who founded Google Quantum AI in 2012, put it: “We are past the break-even point.” The full technical details were published in the peer-reviewed journal Nature, which matters: previous quantum supremacy claims have attracted legitimate criticism, and having the methodology available for scrutiny is a meaningful difference. The official announcement and technical documentation is available directly at Google’s Quantum AI blog. The honest caveat: Willow’s benchmark test is still narrow. Random circuit sampling proves that certain computations are classically intractable for this chip — it does not mean Willow can currently run the drug discovery or climate modeling applications that get mentioned whenever quantum computing comes up. The value of Willow is architectural: it shows that large-scale error-corrected quantum computing isn’t a theoretical ceiling anymore. It’s a demonstrated engineering path. Microsoft and Quantinuum: The Logical Qubit Milestone Eight months before the Willow announcement, Microsoft and Quantinuum published a result in April 2024 that got less general press but arguably more attention from researchers. They demonstrated logical qubits with error rates 800 times lower than the corresponding physical qubits they were built from — using what Microsoft called “qubit virtualization”. The distinction between physical and logical qubits is the real dividing line in quantum computing. Physical qubits are the hardware units — they’re noisy, sensitive to temperature, vibration, electromagnetic interference, and time itself. Logical qubits are built by combining multiple physical qubits into a structure that encodes information redundantly, so errors can be detected and corrected without destroying the computation. The challenge has always been that logical qubits require so many physical qubits to build that the overhead made the whole thing impractical. An 800x error rate reduction means that logical qubits are starting to look realistic rather than theoretical. Microsoft extended this further in November 2024. Working with Atom Computing, they successfully created and entangled 24 logical qubits using ultracold neutral ytterbium atoms — setting a new record and doing it with remarkable gate fidelities: 99.963% for single-qubit operations and 99.56% for two-qubit entangling gates. The neutral atom approach uses laser-cooled atoms held in place by optical tweezers, a completely different hardware architecture than Google’s superconducting transmons. This matters because it means multiple viable paths toward fault-tolerant quantum computing are progressing simultaneously, rather than the field betting everything on one approach. Then in December 2024, Quantinuum went further still: entangling 50 logical qubits — another record, and a demonstration that the logical qubit era is not a future milestone but an active present. IBM Heron R2: The Engineering Discipline Breakthrough Google’s Willow and Microsoft’s logical qubits grabbed more headlines in 2024. IBM’s contribution was quieter but equally significant for anyone thinking about where practical quantum computing actually comes from. In November 2024, IBM unveiled the Heron R2 processor — 156 qubits, the second generation of the Heron architecture, built with a heavy-hexagonal lattice topology. The headline qubit count matters less than what happened to performance. IBM’s 2Q gate error rates dropped to 8×10⁻⁴. The system can now execute quantum circuits with up to 5,000 two-qubit gate operations. And workloads that previously took more than 120 hours to complete on IBM’s best quantum hardware were running in approximately 2.4 hours — roughly a 50x speedup. Earlier in 2024, IBM also completed its self-imposed “100×100 Challenge,” running a 100-qubit circuit at depth 100 on the Heron processor within hours. This is a “utility-scale” computation — one that cannot be brute-forced by classical means — and completing it represents the kind of measured, incremental proof-of-progress that IBM has built its reputation on. The more technically significant 2024 IBM result came in a Nature paper describing a new error correction code called the “bivariate bicycle” qLDPC code. Conventional quantum error correction using surface codes requires roughly 3,000 physical qubits to encode a single reliable logical qubit. IBM’s new code achieves comparable error suppression using only 144 data qubits plus 144 ancilla qubits for error checks — a 10x reduction in overhead. That kind of efficiency gain is the kind of thing that makes fault-tolerant quantum computing look less like a distant goal and more like an engineering problem with a defined solution path. IBM’s full hardware roadmap and current processor specifications are documented at ibm.com/quantum. NIST and Post-Quantum Cryptography: The 2024 Breakthrough Nobody Talks About The fourth major development of 2024 didn’t involve a quantum processor at all. In August 2024, the US National Institute of Standards and Technology (NIST) formally published the first post-quantum cryptography standards — algorithms designed to resist attacks from future quantum computers. Two of the three algorithms (ML-KEM and ML-DSA) were developed by IBM Research cryptographers in Zurich. Why does this belong in a quantum computing breakthroughs article? Because it’s the first concrete acknowledgment by a global standards body that quantum computers capable of breaking current encryption are no longer purely theoretical. The standards exist because governments and enterprises need to start transitioning now, before cryptographically relevant quantum computers arrive. The transition timeline from standard publication to widespread deployment is typically a decade or more. NIST’s 2024 decision effectively started that clock. For blockchain and digital asset infrastructure specifically, this is directly relevant. Current asymmetric encryption schemes protecting wallets, transactions, and smart contracts will eventually need to be replaced with quantum-resistant alternatives. BlockchainReporter’s coverage of blockchain and cryptography developments tracks this transition as it unfolds across the industry. For a detailed breakdown of how quantum advances affect cryptocurrency security specifically, see BlockchainReporter’s analysis of quantum computing’s impact on cryptocurrency. The Honest Assessment: What 2024 Did and Didn’t Prove It would be easy to read the above and conclude that quantum computing has “arrived.” That framing isn’t quite right, and the researchers involved have been explicit about this. Google’s Willow is not yet running the applications its long-term roadmap promises — drug discovery, materials science, financial optimization. It demonstrated below-threshold error correction and a benchmark result. The gap between that and a commercially useful computation is still substantial, requiring error rates significantly lower than current levels. For context on how the crypto community is actually responding to these developments, BlockchainReporter’s coverage of expert views on quantum threats to Bitcoin provides useful perspective on the gap between theoretical risk and current reality. Quantinuum’s 50 logical qubits can detect errors, but full error correction (detecting and fixing them without destroying the quantum state) is a harder problem that’s still being worked through. Microsoft’s Atom Computing record used neutral atoms that require extremely sophisticated laser control infrastructure that doesn’t yet exist at scale. IBM’s Heron R2 is the most practically deployed of the 2024 systems — it’s in IBM’s quantum cloud, enterprise clients are running workloads on it, and the 100×100 benchmark demonstrates utility-scale results. But the Starling processor, IBM’s first fully error-corrected system, isn’t projected until 2029. What 2024 did prove is more important than what it didn’t. The field stopped progressing in one direction and started progressing in all directions simultaneously — hardware, error correction, logical qubits, software efficiency, and cryptographic standards. As a research community, it started acting less like a theoretical physics discipline and more like an engineering field with milestones that can be independently checked and reproduced. For BlockchainReporter readers tracking the convergence of quantum computing and AI that’s reshaping financial infrastructure, the latest developments in blockchain and emerging technology section covers how these shifts affect decentralized systems and digital asset security in real time. What Comes Next: The 2025–2026 Trajectory The 2024 breakthroughs set up a specific set of next steps that the field is now actively working through. Google’s next milestone after Willow is achieving fault-tolerant operation — moving from below-threshold error correction to full error correction where the system can run arbitrarily long computations reliably. The Quantum Echoes algorithm, published on the Willow processor in 2025, demonstrated the first-ever verifiable quantum advantage for a real computational problem, marking a step beyond benchmark demonstrations toward application-relevant results. Microsoft’s roadmap targets 50–100 entangled logical qubits in commercial deployments within the next few years — enough, by their own estimate, for “truly practical breakthroughs in materials science or chemistry.” Their Majorana 1 chip, introduced in 2025 and built on exotic topological qubits, represents a third architectural bet alongside superconducting and neutral atom approaches. IBM’s Starling processor, due in 2029, aims for 100 million gates across 200 error-corrected qubits using the Gross code error correction scheme — the architecture that IBM believes will finally bridge from quantum utility to quantum advantage for commercially valuable problems. The trajectory from 2024 points in one consistent direction: the question is no longer whether large-scale error-corrected quantum computing is possible. The 2024 breakthroughs established it’s possible across multiple hardware approaches. The question now is which approach scales fastest, and how quickly the applications that justify the investment come into focus. This article is for informational and educational purposes only. It does not constitute financial or investment advice.
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CryptoFrontier

CryptoFrontier

4 hours ago
Republican Senator Thom Tillis has emerged as an obstacle to the crypto Clarity Act, stating Monday that he will oppose the bill unless it includes ethics language, according to investment bank TD Cowen and reporting from Politico. "There has to be ethics language in the bill before it leaves the Senate, or I'll go from one of the people working on negotiating it to voting against it," Tillis told Politico. ## Legislative Context and Tillis's Influence Tillis, a member of the Senate Banking Committee, has been a key negotiator on the stablecoin yield issue and recently asked Banking Committee leadership to delay a markup on the bill until May. Jaret Seiberg, managing director at TD Cowen's Washington Research Group, said in a Monday note that Tillis has "outsized influence over the future of the Clarity Act" and that his comments indicate he is "willing to use that power." ## Ethics Provisions and Trump Family Implications The ethics language Tillis is demanding represents a new hurdle for the crypto bill. According to Seiberg, "This is a problem as it likely would apply to the Trump family." Seiberg noted that crafting ethics or conflict-of-interest provisions presents a challenge: applying rules only after the next presidential inauguration could avoid impacting Trump's family, but "it is unlikely that Democrats or Tillis would accept that approach." At the same time, "imposing restrictions that affect current business interests could be difficult for Trump to accept." ## Tillis's Recent Federal Reserve Standoff Seiberg stated that he does not see Tillis backing down, citing the senator's recent success in a standoff with the President over the Federal Reserve. Tillis had blocked a vote on Kevin Warsh's nomination as Fed chairman due to a Justice Department probe into current Fed chairman Jerome Powell. The probe was dropped on Friday, and Tillis said Sunday he will support Warsh's nomination. Seiberg indicated that Tillis's position may be driven by principle rather than political calculation: "This appears to be a legacy issue for Tillis. He wants to ensure government officials, including the President, cannot profit from the crypto sector the legislation would advance." Tillis is not seeking re-election, which may reduce political pressure on him to align with Trump. ## Broader Obstacles to Bill Passage While many in the market expect the Clarity Act to pass this year, Seiberg reiterated that significant hurdles remain without easy solutions. He previously flagged five other obstacles beyond the stablecoin yield issue, including a lack of CFTC commissioners, conflicts tied to the Trump-linked crypto project World Liberty Financial, and concerns around Iran's use of crypto payments. Seiberg has estimated only a one-in-three chance of the crypto bill passing this year. He has said that passage will likely require personal involvement from Trump, along with compromises that can receive bipartisan support and clear the 60-vote threshold in the Senate. If hurdles are not resolved this year, Seiberg said the bill could be delayed to 2027, with final rules potentially taking effect in 2029. "As with anything political, there can be a deal if there is a desire to find a solution," Seiberg said. "Our point, however, continues to be that this is not as simple as it may appear. There is still real work on the bill that must get done."
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QueenOfTheDay

QueenOfTheDay

19 hours ago
#WCTCTradingKingPK #WCTCTradingKingPK | The Battle of Precision & Discipline Begins Aaj sirf ek aur trading day nahi hai… Aaj hai competition ka din, jahan har decision aapki skill ka test hai. Welcome to WCTC Trading King PK — Jahan emotions nahi, strategy aur discipline jeet dilate hain. Why This Competition Matters? Yeh sirf profit ka game nahi… Yeh hai: • Pressure mein decision making • Risk management ka real test • Patience vs impulsive trading Har entry ka weight hai Har exit aapki identity define karti hai Winning Mindset • Trade less, trade smart • Follow your plan — no overtrading • Risk ko control karo, market ko nahi Yaad rakho: Market hamesha opportunities deta hai, lekin winners wahi hote hain jo discipline maintain karte hain Who Will Be the Trading King? Woh nahi jo sab se zyada trade kare… Woh jo sab se behtar trade kare Stay focused. Stay sharp. Gme on — let the best trade
GME-2.52%
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