UBER

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UBER
$71,73
-$0,44(-0,60%)

*Data last updated: 2026-04-08 00:42 (UTC+8)

As of 2026-04-08 00:42, Uber Technologies (UBER) is priced at $71,73, with a total market cap of $147,62B, a P/E ratio of 16,94, and a dividend yield of 0,00%. Today, the stock price fluctuated between $71,11 and $72,56. The current price is 0,87% above the day's low and 1,14% below the day's high, with a trading volume of 9,39M. Over the past 52 weeks, UBER has traded between $68,47 to $101,99, and the current price is -29,66% away from the 52-week high.

UBER Key Stats

Yesterday's Close$72,17
Market Cap$147,62B
Volume9,39M
P/E Ratio16,94
Dividend Yield (TTM)0,00%
Diluted EPS (TTM)4,84
Net Income (FY)$10,05B
Revenue (FY)$52,01B
Earnings Date2026-05-06
EPS Estimate0,71
Revenue Estimate$13,31B
Shares Outstanding2,04B
Beta (1Y)1.206

About UBER

Uber Technologies, Inc. develops and operates proprietary technology applications in the United States, Canada, Latin America, Europe, the Middle East, Africa, and the Asia Pacific. It connects consumers with independent providers of ride services for ridesharing services; and connects riders and other consumers with restaurants, grocers, and other stores with delivery service providers for meal preparation, grocery, and other delivery services. The company operates through three segments: Mobility, Delivery, and Freight. The Mobility segment provides products that connect consumers with mobility drivers who provide rides in a range of vehicles, such as cars, auto rickshaws, motorbikes, minibuses, or taxis. It also offers financial partnerships, transit, and vehicle solutions offerings. The Delivery segment allows consumers to search for and discover local restaurants, order a meal, and either pick-up at the restaurant or have the meal delivered; and offers grocery, alcohol, and convenience store delivery, as well as select other goods. The Freight segment connects carriers with shippers on the company's platform and enable carriers upfront, transparent pricing, and the ability to book a shipment, as well as transportation management and other logistics services offerings. The company was formerly known as Ubercab, Inc. and changed its name to Uber Technologies, Inc. in February 2011. Uber Technologies, Inc. was founded in 2009 and is headquartered in San Francisco, California.
SectorTechnology
IndustrySoftware - Application
CEODara Khosrowshahi
HeadquartersSan Francisco,CA,US
Official Websitehttps://www.uber.com
Employees (FY)34,00K
Average Revenue (1Y)$1,52M
Net Income per Employee$295,67K

Uber Technologies (UBER) FAQ

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Uber Technologies (UBER) is currently trading at $71,73, with a 24h change of -0,60%. The 52-week trading range is $68,47–$101,99.

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Uber Technologies (UBER) Latest News

2026-03-31 14:44

稳定币跨境支付公司 Latitude 完成 800 万美元融资,NEA 领投

Gate News 消息,3 月 31 日,稳定币跨境支付公司 Latitude 宣布完成 800 万美元融资,NEA 领投,Lightspeed Faction、某 CEX、Paxos 和 Solana Foundation 等参投。Latitude 的主要产品为全球支付服务,允许美国企业向超过 50 个国家的个人进行跨境付款。当美国公司通过 Latitude 发送美元时,该平台会先将美元兑换成稳定币,再转换为收款地的本地货币。Latitude 三位联合创始人曾在 Uber、某 CEX、Meta 和 Stripe 等公司任职,他们表示在加密、科技和支付领域的经验让团队深刻认识到高效全球资金流动的重要性。

2026-03-31 05:01

民调:15%美国人愿接受AI上司,70%担忧AI冲击就业机会

Gate News消息,3月31日,昆尼皮亚克大学于2024年3月19日至23日对1397名美国成年人开展的调查显示,15%的受访者愿意接受AI程序作为直属上司,由其分配任务、制定日程;但70%的受访者认为AI发展将减少就业机会,30%的在职人员担忧自身岗位将被AI取代。与此同时,AI替代管理层的趋势正在企业中加速:Workday推出可代员工处理报销审批的AI智能体,亚马逊部署AI工作流替代中层管理职能并裁减大量管理人员,Uber工程师构建了CEO达拉·科斯罗沙希的AI模型用于会前提案筛选。业界将这一趋势称为'大扁平化'(The Great Flattening)。

2026-03-25 01:11

TAO 近一个月涨幅 94.9%,Bittensor 完成史上最大去中心化 LLM 预训练

Gate News 消息,3 月 25 日,TAO 持续拉升突破 330 美元,现报 337.84 美元,24 小时涨幅达 13.6%,近一个月涨幅达 94.9%。美国知名天使投资人、播客主持人 Jason Calacanis 昨日在社交媒体上再次发文「TAO>BTC」。据悉,Jason Calacanis 曾于早期投资了 Uber、Robinhood、Calm 等多家独角兽公司,是硅谷老牌投资人。他还成立了 Stillcore Capital 基金,专门投资 Bittensor 生态的 subnet 项目,长期以来一直看好 TAO。此外,Bittensor 子网 Templar(SN3) 已于 3 月 10 日完成史上最大去中心化 LLM Covenant-72B 预训练。社区支持者认为这一事件证明了 Bittensor 不是「概念币」,而是能真正生产顶级 AI 模型的去中心化基础设施。

2026-03-17 04:33

Uber 早期投资人 Gurley:AI 泡沫重置将至,被压低的 SaaS 股票是机会

Gate News 消息,3 月 17 日,Benchmark 普通合伙人、Uber 早期投资人 Bill Gurley 周一表示,AI 浪潮是真实的,但大批人迅速致富后引来更多逐利者,「这就是泡沫的成因」,他预计一轮「重置」即将到来。Gurley 援引经济学者 Carlota Perez 理论指出,「泡沫只有在浪潮真实存在时才会出现」,建议投资者现在为被压低的 SaaS 股票设定目标价格,在重置到来时「大举买入」。AI 冲击已重创软件板块:Salesforce 和 ServiceNow 今年以来各下跌约 25%,追踪软件板块的 ETF(代码 IGV)年内跌幅约 20%。谈及 AI 公司巨额资本消耗,Gurley 以自己参与 Uber 时期每年 20 亿美元烧钱速度为参照,称那已让他「高度焦虑」,而如今头部模型公司烧钱规模远超当年。「上帝保佑他们,」Gurley 谈到 Anthropic 和 OpenAI 时说,「这种经营方式太吓人了。」亚马逊、Meta、谷歌和微软今年 AI 支出预计合计约 7000 亿美元。

2026-03-07 08:26

PayPal 前 AI 支付负责人 Ehsan Yousefzadeh 加入 Kite AI 担任产品负责人

Gate News 消息,3 月 7 日,Kite AI 宣布,PayPal 前 AI 支付负责人 Ehsan Yousefzadeh 正式加入团队,担任产品负责人(Head of Product)。Ehsan 此前在 PayPal AI 担任高级总监兼产品负责人,主导了智能体商务、智能体支付协议及 PayPal、Venmo 原生 AI 智能体的开发。他拥有超过 12 年消费互联网、支付与 AI 产品管理经验,曾在 Uber 负责市场匹配和司机激励产品,并在 Amazon 从事当日达(Same-Day Delivery)技术研发,拥有加州大学伯克利分校数据科学硕士学位。Kite AI 表示,Ehsan 的加入将加速推进代理式经济基础设施建设与下一代自主智能体落地。

Hot Posts su Uber Technologies (UBER)

BankruptWorker

BankruptWorker

39 minuti fa
Just been diving into the options market and noticed something worth sharing - there's a ton of stocks showing really high IV percentile right now, and it's creating some interesting trading setups. So here's the thing about IV percentile: it basically tells you where a stock's implied volatility stands compared to its historical range. Think of it on a 0-100 scale. When it's near 0, volatility is historically low. When you're seeing highest IV stocks hitting 90% or above, that means implied volatility is near the top of what we've seen before. Usually this happens around earnings season or major events. I ran a quick screen looking for stocks with market caps over 40 billion, solid call volume, and IV percentile above 90%. The list is pretty solid - we're talking Nvidia, Apple, Tesla, Amazon, Intel, Palantir, AMD, Microsoft, Uber, Bank of America and a bunch of others. There's actually 94 stocks that fit these criteria right now, which tells you how elevated things are across the board. Here's where it gets interesting for options traders. When you see highest IV stocks like these, the conventional wisdom is to look at short volatility plays - think iron condors, straddles, that kind of thing. The logic is simple: if volatility is already priced high, you're selling into strength. I pulled up an example on Nvidia using a September expiry - you could sell the 160 call, buy the 180 call, sell the 60 put, buy the 40 put. That kind of setup gives you a nice wide profit zone and decent probability. But obviously the key is watching those earnings dates because stocks can absolutely gap through your levels after announcements. The market's definitely volatile right now, and high IV percentile situations like this pop up regularly during earnings season. If you're playing options, this is the kind of environment where you want to be extra careful about position sizing and risk management. Not financial advice obviously, just sharing what I'm seeing out there.
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ConsensusBot

ConsensusBot

2 ore fa
TLDR ---- * Uber is expanding its cloud partnership with AWS, using Amazon’s custom Graviton4 and Trainium3 chips. * Graviton4 chips power Uber’s Trip Serving Zones, helping match riders and drivers faster during demand spikes. * Trainium3 is being piloted to train AI models that handle driver matching, arrival times, and delivery recommendations. * The deal aims to cut energy costs and reduce latency across millions of daily trips and deliveries. * Amazon is using the deal to showcase its custom chip lineup to enterprise customers amid surging AI demand. * * * 💥 Find the Next KnockoutStock! Get live prices, charts, and KO Scores from KnockoutStocks.com, the data-driven platform ranking every stock by quality and breakout potential. * * * Uber is deepening its cloud relationship with Amazon Web Services, putting AWS custom silicon at the center of its real-time infrastructure and AI ambitions. > $UBER is expanding its $AMZN AWS partnership to power more of its ride, delivery & AI infrastructure. > > This move deepens what is already a sweeping Uber-Amazon relationship spanning cloud compute, autonomous vehicles, and AI infrastructure. > > Uber and Amazon’s relationship has… pic.twitter.com/hvbjj6V9F1 > > — Yeboah Walee (@YeboahWalee) April 7, 2026 The expanded partnership puts two of Amazon’s custom chips to work inside Uber’s global operations. Graviton4 handles the compute-heavy lifting behind Trip Serving Zones — the system that decides, in milliseconds, which driver gets which ride. Trainium3 is being piloted for AI model training, fed by data from billions of past trips and deliveries. Uber Technologies, Inc., UBER Uber processes a staggering volume of decisions every second. Which driver is closest? What’s the fastest route? How long will it take? Getting those calls right at scale — across rush hours, rain storms, and stadium events — is the core engineering problem Uber is paying to solve. > “Uber operates at a scale where milliseconds matter,” said Kamran Zargahi, Uber’s VP of Engineering. “Moving more Trip Serving workloads to AWS gives us the flexibility to match riders and drivers faster and handle delivery demand spikes without disruption.” By running Trip Serving Zones on Graviton4, Uber says it can scale faster during demand spikes while also lowering energy consumption and cutting costs. That’s a rare combination — usually you pick two of three. AI Models Built on Billions of Trips ------------------------------------ The Trainium3 pilot is where things get more forward-looking. Uber’s AI models crunch data from billions of rides to calculate arrival times, rank couriers, and personalize the in-app experience. Training those models at scale is expensive. Trainium is Amazon’s answer to that cost problem. * * * * * * > “By starting to pilot some of our AI models on Trainium, we’re building a technology foundation that will make every Uber experience smarter,” Zargahi said. The models trained on Trainium are designed to improve match speed, arrival time accuracy, and delivery recommendations — the metrics that directly affect whether a rider books again or a restaurant stays on the platform. For Amazon, the deal is as much about marketing as infrastructure. AWS is in an aggressive push to win enterprise AI workloads away from rivals, and landing Uber — one of the most demanding real-time platforms in the world — is a useful proof point. “We’re helping Uber deliver the reliability hundreds of millions of people count on today — and the AI-powered experiences that will define ride-sharing and on-demand delivery tomorrow,” said Rich Geraffo, VP and Managing Director of North America at AWS. Why Custom Chips? ----------------- Off-the-shelf processors from Intel or AMD aren’t optimized for the specific mix of workloads Uber runs. Amazon designed Graviton for general-purpose compute efficiency and Trainium specifically for AI training — making them a tailored fit for what Uber needs. Uber is also working to personalize user experiences and accelerate ride-matching to stay competitive in a market where margins are thin and switching costs are low. The partnership announcement comes as both companies face broader market pressure, with UBER down 0.48% and AMZN down 1.18% on Tuesday. * * * ### Considering a new stock? You may want to see what’s on our watchlist first. Our team at Knockout Stocks follows top-performing analysts and market-moving trends to spot potential winners early. We’ve identified five stocks gaining quiet attention that could be worth watching now. Create your free account to unlock the full report and get ongoing stock insights. * * * ✨ Limited Time Offer ### Get 3 Free Stock Ebooks Discover top-performing stocks in AI, Crypto, and Technology with expert analysis. * **Top 10 AI Stocks** - Leading AI companies * **Top 10 Crypto Stocks** - Blockchain leaders * **Top 10 Tech Stocks** - Tech giants 📥 Get Your Free Ebooks
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0xInsomnia

0xInsomnia

2 ore fa
Just realized something interesting about Jeff Bezos' investment strategy that might be worth looking at. Beyond Amazon and Blue Origin, the guy's been quietly building a seriously diverse portfolio through Bezos Expeditions and other ventures. And honestly, some of his bets are pretty telling about where he thinks the future is heading. Let me break down some of the surprising companies Jeff Bezos has actually put money into. We're talking fintech, AI, agriculture tech, healthcare—basically everywhere. Back in 2017, he threw $190 million at EverFi during their Series D, betting on educational technology. That one got acquired by Blackbaud for $750 million a couple years later, so that worked out. Then there's the food tech angle. Plenty caught his attention in 2017—an agriculture company working on vertical farms that use 1% of the water traditional farming needs but produce 350 times higher yields. He put $200 million into that Series B round. Pretty forward-thinking if you ask me, considering how much agriculture is going to matter in the coming decades. On the accommodation side, Airbnb was an obvious play. $112 million investment that turned into serious returns. The IPO in 2020 at $68 per share was just the beginning—shares have climbed significantly since then. But here's where it gets really interesting. Bezos has been heavily betting on AI and robotics. Last year, he pledged $100 million to Figure AI alongside Nvidia and Microsoft, helping them raise $675 million at a $2.6 billion valuation. They're building humanoid robots for commercial use. Goldman Sachs is projecting the humanoid robot market could hit $38 billion by 2035. That's not a small bet. He also got into Perplexity AI, investing in their Series B round of $73.6 million and then another $63 million in 2024 as the AI search engine's valuation climbed toward $3 billion. The alternative search angle is interesting—competing directly with Google's dominance. Other notable ones include Grail (healthcare, cancer detection), Remitly (digital payments across emerging markets), Uber (early $37 million in Series B), and even Stack Overflow (developer community platform). Plus fintech plays like Fundbox and public safety software like Mark43. What's striking about Jeff Bezos' companies portfolio is the pattern. He's not just throwing money at trendy startups. There's a real thesis here—education, food security, healthcare, fintech for underserved markets, AI, robotics. These are bets on structural changes in how society and business operate. Some of these have already exited well (Airbnb, Uber). Others are still privately held or have had mixed results. But the overall strategy is pretty clear: Bezos is positioning himself across multiple high-growth sectors. Whether you're watching these companies for investment ideas or just curious about where a billionaire thinks opportunity lies, this portfolio is definitely worth studying.
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