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How Is Invesco's Stock Performance Compared to Other Financial Stocks?

How Is Invesco's Stock Performance Compared to Other Financial Stocks?

Yahoo26-06-2025
Invesco Ltd. (IVZ), headquartered in Atlanta, Georgia, is a publicly owned investment manager. Valued at $6.8 billion by market cap, the company offers equity, fixed income, separate accounts, exchange traded, collective, and balance mutual funds.
Companies worth $2 billion or more are generally described as 'mid-cap stocks,' and IVZ perfectly fits that description, with its market cap exceeding this mark, underscoring its size, influence, and dominance within the asset management industry. IVZ's strengths lie in its diverse investment capabilities which cater to various investor preferences and market conditions. The firm's adaptability is demonstrated by its offering of both active and passive products. With a presence in over 20 countries and clients in 120 nations, Invesco's global reach diversifies revenue streams and provides a broad market perspective. Its strong brand and reputation enable it to attract and retain clients worldwide.
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Despite its notable strength, IVZ slipped 22% from its 52-week high of $19.55, achieved on Jan. 30. Over the past three months, IVZ stock declined 4.5%, underperforming the Financial Select Sector SPDR Fund's (XLF) 1.9% gains during the same time frame.
In the longer term, shares of IVZ dipped 12.8% on a YTD basis but climbed 1.1% over the past 52 weeks, underperforming XLF's YTD gains of 6.4% and 24.5% returns over the last year.
To confirm the bearish trend, IVZ has been trading below its 200-day moving average since early March. However, the stock is trading above its 50-day moving average since early May, with slight fluctuations.
On Apr. 22, IVZ shares closed up more than 8% after reporting its Q1 results. Its adjusted EPS of $0.44 beat Wall Street expectations of $0.39. The company's revenue stood at $1.5 billion, up 3.7% year over year.
IVZ's rival, Cohen & Steers, Inc. (CNS) shares have lagged behind the stock, with 17.9% losses on a YTD basis but outpaced the stock with a 6.6% uptick over the past 52 weeks.
Wall Street analysts are cautious on IVZ's prospects. The stock has a consensus 'Hold' rating from the 17 analysts covering it, and the mean price target of $16.05 suggests a potential upside of 5.2% from current price levels.
On the date of publication, Neha Panjwani did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Barchart.com
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I tried Tesla's new Robotaxi. Here's what it got right (and wrong).
I tried Tesla's new Robotaxi. Here's what it got right (and wrong).

Business Insider

time17 hours ago

  • Business Insider

I tried Tesla's new Robotaxi. Here's what it got right (and wrong).

This week, I flew to Austin to do what only a few have been able to: ride in Tesla's Robotaxis. I took five trips that my rider companion and I found mostly smooth, but there were some bumps. We encountered three issues, including one in which the Robotaxi began to drive the wrong way onto an empty one-way street clearly marked with "Do Not Enter" signs. Since the end of June, Tesla has been testing Robotaxi, the company's autonomous ride-hailing service. Musk has said that Robotaxi is part of Tesla's road map to becoming a full-fledged AI and robotics company. The service is still in its early stages. A limited number of autonomous Model Ys navigate Austin roads, and a safety operator sits in on every ride. A small group of people has been given early access to the service, including Vu Kong, an Austin resident who manages a dental group and invests in Tesla on the side. Kong seems to be one of the few Robotaxi invitees who aren't Tesla or EV influencers with a large social media presence. He told me he got access about a week after the Robotaxi launch by signing up on the company website. "I was pretty impressed about how consistent the rides were," Kong said after seven trips. "They were all pretty smooth, and I felt safe in all of them. By the third time, I just forgot I was in an autonomous car. I was doing meetings in the car, taking phone calls, and doing Zoom calls." I took two half-hour rides and three shorter rides with Kong. Pick-up times weren't always consistent, and the app had a few glitchy moments. In Downtown Austin, Tesla will be going up against pick-up times of less than 10 minutes and relatively low prices from Uber, which manages Alphabet's Waymo fleet. A spokesperson for Tesla and a few employees on Tesla's Robotaxi team BI reached out to did not respond to a request for comment. Here's what I saw. A confident Tesla First, the new 2025 Tesla Model Y feels great. I always appreciate how spacious Teslas feel, thanks to the glass roof that allows light to enter the cabin. The seats are comfortable enough, but I wondered why Tesla would go with bright white seats for cars that will presumably be taking on a lot of passengers. The seats are leather, so maybe they'll be easy to maintain. Throughout the rides, I saw an autonomous driving system that can be safe and confident in its maneuvers. Tesla's Robotaxi, unlike its competitors, relies only on external cameras and neural networks to navigate its environment. Our car maintained a safe distance with a cyclist, recognized construction zones that are rampant in Austin, and could judge when to make turns while there was oncoming traffic. Human interventions Despite the mostly smooth experience, I encountered a few disengagements — moments when the safety operator inside the car or a remote support agent had to intervene. Two of the Robotaxi disengagements occurred on the very first route, which we began at around 7 a.m. on Wednesday at Summer Moon Coffee, an Austin-based café chain. At the start, when the Robotaxi was attempting to pull out of the parking lot, a message appeared on the console screen: "Our team has identified an issue and is working to resolve it." A remote "support agent" connected with us: "It looks like the vehicle isn't making any progress. Is everything OK?" In-car safety operators hired by Tesla largely avoid interacting with riders. When the remote agent asked us the question, the operator quietly turned to us and nodded his head, nudging us to talk. It was unclear what caused the Robotaxi to be stuck. There were no oncoming cars and the roads were quiet. After the support agent said they would help, the steering wheel came back to life and made a jerky movement. The Robotaxi inched forward and slammed on the brakes. It's unclear how much control Tesla's remote team had over the vehicle. The Robotaxi pulled out of the parking lot and began its route. The second disengagement came 20 minutes into the ride, when Kong changed the route to return to his office. The safety operator inside the car touched the screen to pause the ride. While I was talking, I hadn't noticed the Robotaxi begin to head the wrong way down an empty, one-way road marked with two signs that said "Do Not Enter." The safety operator did not talk to us. When Kong pressed "Resume Ride," the operator immediately stopped the car again. That's when we realized we were supposed to wait for another remote support agent, who quickly helped us. The Robotaxi made a three-point turn to get back in the right direction. The last disengagement came during my fourth Robotaxi ride on a late Thursday morning. Kong and I wanted to go to the very tip of the phallic-shaped service area Tesla unveiled earlier this week. The Robotaxi app allowed us to put in a destination that was just outside of the service area — a Summer Moon Coffee location in North Austin. The app indicated that the vehicle would drop us off close to the destination, requiring a 10-minute walk the rest of the way. As we approached our destination, Kong changed the route to another location that was within the geofence. The Robotaxi put us on a route that would take the vehicle just outside of the service area for a brief moment in order to head to our new destination. The vehicle soon pulled over, and another remote support agent got in touch with us. "I just wanted to let you know it was routing a little bit outside of our range, so we just changed the route so that it wouldn't go outside our fence," the agent said. At no point did I feel the Tesla Robotaxi put us in danger. It was interesting to see the system's limits. Other Robotaxi limits Pick-up times for the most part were under 10 minutes. On Wednesday afternoon, the Robotaxi app gave us a nearly 30-minute pick-up time for a 20-minute ride. The app showed that a Robotaxi was picking us up from the northern part of the new service area. It was the same Robotaxi we had for the first ride that morning, based on the matching license plate. Kong attempted to find another car with a shorter pick-up time to no avail. It also appears that Tesla's Robotaxis are avoiding the highway. During our fourth ride to North Austin in the upper part of the service area, Kong, who has lived in the city for five years, said the Robotaxi was taking a longer route to a destination that should be about an 18-minute trip. "Normally we'd take the highway to get there," he said. Musk has long pitched an autonomous car that is generalizable — meaning the vehicle could handle any environment, including highways, with few operational limits and without the need to map a region before deployment. The AI driver is trained on large amounts of data, so, in theory, it should be able to drive the same way a human driver can go through unfamiliar areas. It's unclear why the Tesla Robotaxi avoided the highway. Tesla's FSD (Supervised) handled San Francisco's highway flawlessly in BI's last test. Kong added that the drop-off location could be improved so that the Robotaxi is closer to the actual destination. In terms of the app experience, Kong told me that it can be a bit buggy. We saw one moment when the app showed that a car was arriving in 29 minutes, even though we had just ended our ride and did not order another Robotaxi. A work in progress My colleagues and I at BI have closely reported on the robotaxi race, the efforts Tesla has made to push out an autonomous driver system, and the bold promises Musk has made around self-driving cars and artificial intelligence. I've also compared Tesla's Full Self-Driving (Supervised), the EV company's advanced driver-assistance system, to Waymo with my colleague Alistair Barr. I walked away impressed that FSD could navigate San Francisco roads and highways using only cameras, but saw a critical error after the Tesla ran a red light. My expectations for the Tesla Robotaxi were high — I expected quiet, uneventful rides — but I also suspected that it would probably not be perfect. The company has indicated that the Austin service is a "pilot launch." Safety operators are inside the vehicle, access is limited to invitees, and the company is charging a flat fee of $6.90 per ride. Waymo began testing its own robotaxi service with an early-access program in California in 2021. That year, the company reported 300 disengagements to the California Department of Motor Vehicles. In 2024, when Waymo opened up to the San Francisco public, the company reported about 245 disengagements in the state. Waymo also says it's now providing over 250,000 paid rides a week. Tesla could get there. It just needs to start by conquering Austin.

OpenAI CEO Sam Altman Calls DeepSeek's Bluff: ‘I Don't Think They Figured Out Something Way More Efficient'
OpenAI CEO Sam Altman Calls DeepSeek's Bluff: ‘I Don't Think They Figured Out Something Way More Efficient'

Yahoo

timea day ago

  • Yahoo

OpenAI CEO Sam Altman Calls DeepSeek's Bluff: ‘I Don't Think They Figured Out Something Way More Efficient'

Sam Altman, CEO of OpenAI, is widely recognized as one of the most influential figures in artificial intelligence (AI). His recent comments on DeepSeek, a rising AI competitor, offer insight into both his leadership style and his perspective on innovation within the field. In a recent interview with Bloomberg, Altman remarked, 'The DeepSeek team is very talented and did a lot of good things. I don't think they figured out something way more efficient than we figured out.' This assessment highlights his respect for competing teams while underscoring his confidence in OpenAI's own technological progress. More News from Barchart Is Palantir Stock a Buy Above $150? Coinbase Stock Just Hit a New 52-Week High. How Much Higher Can Crypto Week Take COIN? This Bullish Catalyst for Nvidia Stock Is Coming in September Get exclusive insights with the FREE Barchart Brief newsletter. Subscribe now for quick, incisive midday market analysis you won't find anywhere else. DeepSeek caused a near-'flash crash' among stocks involved in the AI ecosystem at the beginning of 2025 after they released an AI model to rival U.S. models at a fraction of the cost. However, the DeepSeek team largely used the OpenAI API to train their model, and, ultimately didn't create anything novel, according to Altman. Altman's authority on the subject is well established. After dropping out of Stanford University to pursue entrepreneurial ventures, he co-founded Loopt, a location-based social networking startup that sold for $43.4 million. He then served as president of Y Combinator, where he played a pivotal role in launching and scaling numerous successful startups, cementing his reputation as a force in Silicon Valley. In 2015, Altman co-founded OpenAI, leading the organization through the development of groundbreaking technologies such as GPT-3, DALL-E, and ChatGPT. Under his guidance, OpenAI has secured major investments, including a multi-year $10 billion partnership with Microsoft (MSFT), and has become a central player in the global AI landscape. Altman's comment on DeepSeek is consistent with his broader approach to competition. While he acknowledges the achievements of other teams, he remains focused on the rigorous, incremental progress that has defined OpenAI's trajectory. His statement that DeepSeek has not discovered 'something way more efficient' than OpenAI's own methods suggests a belief in the robustness and scalability of his own company's research and infrastructure. This pragmatic outlook is characteristic of Altman, who has often emphasized the importance of responsible innovation and continuous improvement over comparing oneself to their competitors. The context of Altman's remarks is particularly relevant as the AI industry becomes increasingly crowded with well-funded entrants and rapid technical advances. His perspective that efficiency breakthroughs are rare, even among talented teams, reflects both the complexity of the field and the high bar set by leading organizations. Altman's leadership has positioned OpenAI at the forefront of this competition, with products like ChatGPT achieving historic adoption rates and shaping public discourse on AI's potential and risks. Altman's frank response also aligns with his reputation for transparency and realism. He has consistently advocated for open discussion about AI's capabilities and limitations, both within the industry and in broader society. As the market for advanced AI models continues to evolve, Altman's perspective serves as a reminder that progress is often incremental and that leadership in this space requires both innovation and humility. His experience navigating the challenges of rapid technological change lends weight to his assessments, reinforcing his status as a trusted voice in the ongoing evolution of artificial intelligence. On the date of publication, Caleb Naysmith did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Sign in to access your portfolio

Vanguard Is Now the Top Investor in MicroStrategy Stock. Should You Buy MSTR Too?
Vanguard Is Now the Top Investor in MicroStrategy Stock. Should You Buy MSTR Too?

Yahoo

timea day ago

  • Yahoo

Vanguard Is Now the Top Investor in MicroStrategy Stock. Should You Buy MSTR Too?

In a surprising turn of events, Vanguard has emerged as the largest institutional shareholder of MicroStrategy (MSTR), holding 20.5 million shares worth approximately $9.26 billion, representing 8.55% ownership of the company. This development marks a shift for the world's second-largest asset manager, which previously dismissed Bitcoin (BTCUSD) as 'an immature asset class.' The investment positions Vanguard as the top holder in MicroStrategy, the world's largest publicly listed corporate Bitcoin holder, with 601,550 Bitcoin valued at $74 billion. More News from Barchart Is Palantir Stock a Buy Above $150? Coinbase Stock Just Hit a New 52-Week High. How Much Higher Can Crypto Week Take COIN? This Bullish Catalyst for Nvidia Stock Is Coming in September Get exclusive insights with the FREE Barchart Brief newsletter. Subscribe now for quick, incisive midday market analysis you won't find anywhere else. Vanguard has previously criticized Bitcoin, with executives calling the cryptocurrency 'speculative' and warning that it could create portfolio 'havoc.' While competitors like BlackRock (BLK) and Fidelity launched spot Bitcoin ETFs in January 2024, Vanguard notably abstained from the crypto rush. The firm maintained its stance even as Bitcoin reached an all-time high of $123,000 earlier this month. Additionally, Vanguard CEO Salim Ramji recently reaffirmed that the company doesn't make bets on 'speculative assets,' such as Bitcoin. This quiet accumulation of MicroStrategy shares suggests Vanguard may be gaining indirect Bitcoin exposure while maintaining its public skepticism toward direct cryptocurrency investments, highlighting the complex dynamics between traditional asset managers and digital assets. Is MSTR Stock a Good Buy Right Now? Strategy, formerly known as MicroStrategy, has become the poster child for Bitcoin treasury companies. Over the last five years, MSTR stock has surged more than 3,700%, outpacing the nearly 1,200% returns of Bitcoin. This remarkable outperformance stems from Strategy's aggressive Bitcoin accumulation strategy, which began in August 2020. Strategy now holds more than 600,000 BTC on its balance sheet, making it the world's largest corporate Bitcoin holder by a wide margin. Executive Chairman Michael Saylor has transformed the software company into what he calls 'the world's first Bitcoin treasury company.' Strategy's success has sparked a wave of imitators. Even failing businesses are pivoting to Bitcoin treasury strategies, hoping to revitalize their stock prices through exposure to cryptocurrency. However, this approach carries significant risks. For instance, Strategy employs debt and leverage to acquire Bitcoin, creating what some analysts describe as an ultra-leveraged Bitcoin fund. This approach only works when Bitcoin prices rise, interest rates remain manageable, and market sentiment stays positive. Is MSTR Stock Overvalued Right Now? Out of the 13 analysts covering MSTR stock, 11 recommend 'Strong Buy,' one recommends 'Moderate Buy,' and one recommends 'Strong Sell.' The average MSTR stock price target is $543.62, 27% above the current price. With Bitcoin currently priced near $120,000 acquiring meaningful positions becomes increasingly expensive, which will create a cycle of dilutive stock offerings. While Strategy has delivered exceptional returns, investors should consider whether direct Bitcoin exposure through spot ETFs might offer similar upside with fewer operational risks and complications. On the date of publication, Aditya Raghunath did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on

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