Capitals say ‘no decision' on Alex Ovechkin's future after 2025-26
Washington Capitals captain Alex Ovechkin has not made a decision on his NHL future beyond the upcoming 2025-26 NHL season, the team said in a statement Thursday, which came after an email suggested next season would be Ovechkin's last.
The email, which was first reported by the Hockey News, included a sentence that read 'OCTOBER — the start of Capitals hockey and Alex Ovechkin's FINAL NHL SEASON.' Next season is the final year of Ovechkin's contract, a five-year deal worth $9.5 million per season that he signed in 2021.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
21 minutes ago
- Yahoo
See it: New York Giants great Howard Cross latest to address 2025 squad
The New York Giants have had a parade of former stars pass through the doors of their training facility this spring to address the team, most notably Hall of Famers Lawrence Taylor and Michael Strahan and future Hall of Famer Eli Manning. This week, it was Howard Cross' turn. The former tight end who played 13 seasons for the Giants from 1989-2001 and earned a Super Bowl XXV ring, has been a constant in the building for decades as he has been part of the club's broadcast team since 2007. Advertisement Cross delivered a message centered around defending one's turf. Having the distinction of playing for two of the game's greatest coaches -- Bear Bryant at Alabama and Bill Parcells here with the Giants -- when Cross speaks, he's worth listening to. Cross is the only player to play in Super Bowl XXV and XXXV with the Giants. His 207 games played in a Giants uniform rank third in franchise history behind Manning (236) and Strahan (216). This article originally appeared on Giants Wire: See it: Giants great Howard Cross latest to address 2025 squad
Yahoo
22 minutes ago
- Yahoo
Cathedra Bitcoin First Quarter 2025 Earnings: CA$0.001 loss per share (vs CA$0.004 profit in 1Q 2024)
Revenue: CA$6.50m (up 58% from 1Q 2024). Net loss: CA$695.6k (down by 181% from CA$863.9k profit in 1Q 2024). CA$0.001 loss per share (down from CA$0.004 profit in 1Q 2024). We've found 21 US stocks that are forecast to pay a dividend yield of over 6% next year. See the full list for free. All figures shown in the chart above are for the trailing 12 month (TTM) period Cathedra Bitcoin shares are up 17% from a week ago. Before we wrap up, we've discovered 3 warning signs for Cathedra Bitcoin (2 are potentially serious!) that you should be aware of. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
22 minutes ago
- Yahoo
AI ecosystem isn't just Nvidia: Unlock it further with this ETF
Nvidia (NVDA) may be a face for the AI Revolution that most investors and customers can recognize, but it's not the only play in the ever-expanding AI space. DVx Ventures CEO Jon McNeill comes on Market Domination Overtime to talk about the AI alternatives that can be found in his VistaShares Artificial Intelligence Supercycle ETF (AIS), especially as many reenter the AI trade, including in the various aspects of AI infrastructure like data center energy grids and fiber materials. McNeill previously served as the president of Tesla (TSLA) between 2015 and 2018, the chief operating officer of Lyft (LYFT) from 2018 until the next year, and was a member of General Motors' (GM) board. To watch more expert insights and analysis on the latest market action, check out more Market Domination Overtime here. Nvidia has long been seen as the poster child for artificial intelligence, while streets seeing it as a pulse check on the health of the AI ecosystem. However, there is more to the AI trade of course that investors may be overlooking. DVX ventures, CEO John McNeal McNeal is joining us now with a closer look. And in addition to being in venture capital John, you all helped co-found an ETF that helps also look for these opportunities. So I guess, you know, Nvidia's obviously dominated this trade along with a handful of other names. Before I ask you for specifics, I'm curious sort of how you're framing it when you're looking for these opportunities. What criteria are you using? What growth areas within AI are you looking at? Yeah, during, uh, during my time at Tesla and Lift and and other stops in my career, I had some responsibility for building data centers. And so what we did was we took the build sheet of a data center, an AI data center, which is actually quite different than your regular data center. It's got a lot more fiber and a lot more power, obviously. And, um, we took that build sheet and said, if you were going to build a stock portfolio out of this, what would it look like? And it turns out that Nvidia is a super small minority of what gets put into an AI data center. Um, and so we wanted to give investors access to what the real AI infrastructure, uh, profit pool is. And that includes everything from the power generation to the power electronics to the cooling to the substrates to the networking software that has all these chips talking to each other, etc. And so that's really how we formulated, uh, the ETF called AIS. And and walk me through that product, John. What what are some of the names in that in that vehicle in that product? So you can imagine, uh, like I'll just start from the power source. You've got, uh, GE Renovo and others who are providing the gas turbines that are powering these data centers. As you know, uh, the utilities and the grid can't respond fast enough to demand. And so, uh, these large AI data data centers are finding their own sources of power and they're putting that power in quickly and that's in the form of natural gas turbines. Uh, then that connects to power electronics that transform that electricity so that the data center can use it. Uh, those are provided by companies like ABB. Uh, and then you come inside the data center and the data center, an AI data center has four times the fiber that a normal data center does. And Corning is a name, uh, that is really benefiting off of all that fiber. Uh, and then you've got, uh, network providers, substrate providers, uh, we have a list of about 60 stocks, uh, in the in the AIS ETF that contribute to that build of an AI data center and the profit pools that are within that. And I'm curious when you're thinking about your private investments as well, if you're applying some of the same criteria, if you're thinking about it in the same way. Yeah, we tend to think about it in a holistic way and start to look at places that people don't often, uh, don't often look at first. And as you mentioned, uh, Nvidia gets a lot of the headlines here, as does Marvel and some of the other chip suppliers. Um, but when you when you open the aperture and say, who what really is involved in this super cycle of AI and the build out of the infrastructure around AI, then it really broadens to a whole different series of stocks that investors can, uh, can participate in and and participate in the super cycle. As we've seen through the last couple weeks of earnings, the large hyperscalers, Microsoft, Amazon, uh, Oracle, uh, etc. are all confirming their, uh, their previously announced AI infrastructure investments. So if this if anything, this is not slowing down, uh, and uh, in the long-term commitments remain, um, as the market is shifting to more and more demand in inferences as Jensen Wong referenced, uh, this week in his earnings. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
