WU

Western Union Co Price

WU
$8,81
+$0,03(+%0,34)

*Data last updated: 2026-04-08 12:27 (UTC+8)

As of 2026-04-08 12:27, Western Union Co (WU) is priced at $8,81, with a total market cap of $2,80B, a P/E ratio of 6,08, and a dividend yield of %10,67. Today, the stock price fluctuated between $8,79 and $8,97. The current price is %0,22 above the day's low and %1,78 below the day's high, with a trading volume of 6,98M. Over the past 52 weeks, WU has traded between $8,40 to $8,97, and the current price is -%1,78 away from the 52-week high.

WU Key Stats

Yesterday's Close$8,78
Market Cap$2,80B
Volume6,98M
P/E Ratio6,08
Dividend Yield (TTM)%10,67
Dividend Amount$0,23
Diluted EPS (TTM)1,57
Net Income (FY)$499,60M
Revenue (FY)$4,04B
Earnings Date2026-04-22
EPS Estimate0,40
Revenue Estimate$965,42M
Shares Outstanding318,93M
Beta (1Y)0.536
Ex-Dividend Date2026-03-17
Dividend Payment Date2026-03-31

About WU

The Western Union Company provides money movement and payment services worldwide. The company operates in two segments, Consumer-to-Consumer and Business Solutions. The Consumer-to-Consumer segment facilitates money transfers between two consumers, primarily through a network of third-party agents and sub-agents; and offers international cross-border transfers and intra-country transfers, as well as money transfer transactions through websites and mobile devices. The Business Solutions segment provides payment and foreign exchange solutions, primarily cross-border and cross-currency transactions for small and medium size enterprises, other organizations, and individuals; and foreign currency forward and option contracts. It also offers bill payment services that facilitates payments from consumers to businesses and other organizations, as well as offers money order and other services. The company was founded in 1851 and is headquartered in Denver, Colorado.
SectorFinancial Services
IndustryFinancial - Credit Services
CEODevin McGranahan
HeadquartersDenver,CO,US
Employees (FY)9,60K
Average Revenue (1Y)$420,94K
Net Income per Employee$52,04K

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Western Union Co (WU) Latest News

2026-04-02 05:16

Alibaba releases Qwen3.6-Plus, a new generation large language model called Qianwen

Gate News update, on April 2, Alibaba released Qwen3.6-Plus, a new-generation large language model in the Qianwen series. The model has native multimodal understanding and reasoning capabilities, and can independently break down tasks, plan paths, test changes, and complete the task in scenarios such as front-end web development and warehouse-level complex tasks. Currently, Qwen3.6-Plus has been listed on Alibaba Cloud’s Bailian platform, priced at 2 yuan minimum per million Tokens (word pieces) for input; Qianwen 3.6 has also launched on AI applications and platforms such as Wukong and the Qianwen App.

2026-03-29 08:00

Hong Kong Legislative Council member Wu Jiezhuang and South Korean National Assembly members initiated the "Hong Kong-Korea Web3 Policy Promotion Alliance."

Gate News reports that on March 29, Hong Kong Legislative Council member Wu Jiezhuang, along with South Korean National Assembly members, jointly launched the "Hong Kong-Korea Web3 Policy Promotion Alliance." The alliance focuses on five key areas: digital asset regulation, stablecoin mechanisms, artificial intelligence development, blockchain infrastructure interconnectivity, and regulatory standards. It is reported that this is the first cross-regional civil policy cooperation platform in Asia.

2026-03-29 07:30

Ave.ai announced the official mascot name as "Ai Wu Wu."

Gate News reports that on March 29, Ave.ai officially confirmed the name of its official mascot as "Aiwuwu". It is reported that this mascot image has been active on Ave.ai's official Twitter account for several months. Ave.ai also stated that "Aiwuwu" is used solely as a brand mascot and does not involve any token issuance or project endorsement.

2026-03-28 03:46

The UK sanctions Hu Xiaowei, an associate of the Cambodian Prince Group, and a certain cryptocurrency exchange platform.

Gate News message, March 28, after Cambodian Prince Group founder Chen Zhi had been detained for more than two months, the UK further imposed sanctions on the Southeast Asian scam network, including Hu Xiaowei, who is closely associated with Chen Zhi. In the sanction documents published by the UK, Hu Xiaowei is referred to as "Wu Anming," and it states that he is associated with Chen Zhi and the Prince Group, and is a "longtime collaborator of Chen Zhi," providing support such as financial services, economic resources, and technology. In addition, a certain virtual currency exchange platform was also sanctioned. The platform is believed to be one of the largest illegal markets in Southeast Asia, providing services that supply cryptocurrencies

2026-03-20 00:49

Amber Group CEO Reflects on Challenges and Personal Journey Following the FTX Collapse

Gate News reports that on March 20, Amber Group CEO Michael Wu stated in an interview with a media outlet that the collapse of FTX at the end of 2022 and the sudden departure of a co-founder were the biggest setbacks he has faced personally and in his entrepreneurial career. Wu shared that before these events, his life was relatively smooth. From late 2022 to early 2023, he focused on overcoming the challenges facing the company and successfully led Amber Group back on track. However, by the end of 2023, despite having resolved the issues, Wu found himself in a state of depression. This experience challenged his belief in a "linear upward trajectory" in life and provided him and the young company with a new perspective on resilience and recovery.

Hot Posts About Western Union Co (WU)

SnapshotLaborer

SnapshotLaborer

26 minutes ago
Less than a month after the last concentrated reorganization around Token Hub, Alibaba’s organizational structure for its AI business is undergoing another iteration. On April 8, Alibaba Group CEO Eddie Wu released an internal letter announcing AI-related organizational adjustments, including the establishment of a new Group Technology Committee, upgrading the Tongyi large-model business division, and accelerating AI development. According to the internal letter, Alibaba set up a Technology Committee at the Group level, with Eddie Wu serving as group leader. Members include Zhou Jingren, Wu Zeming, and Li Feifei. Among them, Zhou Jingren serves as the Chief AI Architect of the Technology Committee. Li Feifei is responsible for Alibaba Cloud technology and the construction of AI cloud infrastructure, and Wu Zeming is responsible for building the Group’s business technology platform and the AI inference platform. Three people, three lines—pointing respectively to the model, the infrastructure, and the inference platform. It’s important to note that Alibaba’s traditional organizational structure emphasizes “specialization + BU structure.” But this time, Alibaba has brought together everyone who can make it work for the future at one table, integrating key links that were previously scattered across cloud, business lines, and model teams. An individual close to Alibaba told Wall Street Insights that in the past, the company was good at “stacking people, stacking resources, and stacking business matrixes,” but in the era of large models, this approach no longer works. “Models need to be trained quickly, inference needs to be deployed quickly, businesses need to be reused quickly—if the organization becomes fragmented again, it will slow down the entire chain.” Therefore, within the industry, the newly established Technology Committee is viewed as a decision-making hub. In which direction the model iterates, how to allocate computing resources, and how to build the inference platform—these will all be decided at this level. One noteworthy detail is that in this round of adjustments, Wu Zeming stepped down as CEO of Taobao Flash Sale, and Lei Yanqun took over. Wu Zeming is an old hand at Alibaba and also the Group CTO. Having him step away from front-line business management to focus on building the Group’s technology platform and AI inference platform is, in itself, a signal: within Alibaba, the priority of AI infrastructure has already been elevated above day-to-day business operations. A similar logic can be seen with Li Feifei as well. He has served as Alibaba Cloud CTO and is also responsible for building AI cloud infrastructure. Alibaba Cloud is the “shovel-side” port for Alibaba’s AI strategy—if enterprises want to use large models, they need computing power, inference services, and a model-calling platform. What Li Feifei needs to do is ensure that this pipeline remains sufficiently smooth. As Chief AI Architect, Zhou Jingren simultaneously oversees the upgraded Tongyi large-model business division, shouldering the most core mission: ensuring that Alibaba’s models are always positioned on the global first-tier. The explosive performance of Qwen 3.6 Plus proves the viability of this route, but the large-model race has no endgame. OpenAI, Anthropic, and at home ByteDance and Tencent—no one will stop and wait. By pooling advantageous forces and resources, and investing in the most critical battleground, this shows that Alibaba has entered a state of full-scale battle for AI. In fact, this is already Alibaba’s second major organizational transformation around AI within less than a month. On March 16, Alibaba just announced the establishment of the ATH business group—full name Alibaba Token Hub—directly led by CEO Eddie Wu. Under it are Tongyi Laboratory, the MaaS business line, the Qianwen business division, the Wukong business division, and the AI Innovation business division. A complete chain of “creating tokens, delivering tokens, and applying tokens” has been tied together at the organizational level. This is a judgment about the future business model: the core of large models is not capability, but consumption. Whoever can make Token flow faster, broader, and more stable will be the one that controls the future of AI cloud. In Alibaba Group’s recent earnings call, Eddie Wu said that since 2026, the company has already seen some very clear trends. Large models are starting to develop the capability to complete complex To B workflows. When more and more enterprises begin using Agents driven by large models internally to complete end-to-end work tasks, the entire IT budget market facing AI and cloud undergoes fundamental change. Eddie Wu said that when enterprises consume Tokens, they no longer treat them as an IT budget. Instead, they treat them as production costs or R&D costs—part of production inputs—which is the most fundamental internal factor supporting long-term AI growth. Facing the huge and long-term growth momentum of the AI market, Eddie Wu announced the commercial targets for Alibaba Group’s AI strategy. Over the next five years, including MaaS, annual revenue from cloud and AI commercialization is expected to exceed $100 billion. “Regarding the goal that annual revenue from AI-and-cloud-related businesses will exceed $100 billion over the next five years—based on the current market growth space, and our existing business base and product foundation—the path to achieving this goal is highly visible.” Of course, it isn’t only Alibaba that changes course to capture opportunities in the era. During the same period when Alibaba was adjusting intensively, Tencent was also reshaping its AI organizational structure. On March 20, Tencent’s internal notice revoked AI Lab. Some personnel were merged into the Large Language Model department, reporting to Chief AI Scientist Yao Shunyu. AI Lab was founded in 2016 and was one of Tencent’s earliest enterprise-level AI laboratories. Its dissolution is precisely to concentrate scattered AI R&D forces onto the main line of the Hunyuan large model. In mid-March, Tencent President Liu Chiping disclosed in a media exchange that over the past few months Tencent had carried out intensive team adjustments and workflow restructuring around AI. He said that in the next two to three quarters, “quantifiable progress” will be shown. Tencent’s new version Hunyuan HY 3.0 has already been under internal testing, and it is claimed that inference and Agent capabilities have been significantly improved. The moves by the two tech giants were almost synchronized, but the paths differed. Alibaba’s thinking is more “institutionalized”—building from scratch a complete business group centered on Token, with the CEO personally leading it and five business divisions advancing in parallel. Tencent’s thinking is more “intensive”—gathering the scattered AI R&D forces into a unified technical foundation, making Hunyuan the only foundation-model entry point. They come to the same destination: both companies are doing the same thing—eliminating internal AI islands and pouring resources in one direction. This is not a coincidence. The AI competition in 2026 has entered a new stage—not a strategic selection question of whether to do AI, but a contest of execution power to see whether AI can be taken to the absolute extreme. The ceiling of model capabilities is still rising rapidly. Agents are moving from concept to product, and enterprise-side demand is shifting from “let’s try it” to “full deployment.” In this window of opportunity, whoever has higher organizational efficiency, whoever integrates resources faster, will be the one that can take the largest slice of the cake. Risk Warning and Disclaimer Clauses The market involves risks; investment is subject to caution. This article does not constitute personal investment advice, and it does not take into account any specific investment objectives, financial situations, or needs of individual users. Users should consider whether any opinions, viewpoints, or conclusions in this article align with their specific circumstances. Invest accordingly at your own risk.
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