Why Shopify Inc. (SHOP) Soared Today
We recently published a list of . In this article, we are going to take a look at where Shopify Inc. (NASDAQ:SHOP) stands against other stocks that soared by double digits today.
The stock market kicked off the trading week brimming with optimism after the US and China announced a tariff truce on each other's goods.
The tech-heavy Nasdaq booked the largest gains among the three major indices, rallying 4.85 percent. The S&P 500 followed with a 3.26-percent increase, and the Dow Jones, with 2.81 percent.
Over the weekend, the US and China reached a 90-day deal to lower tariffs on each other's imports. US taxes on Chinese imports will drop to 30 percent from 145 percent previously, while China's tariffs on US imports will drop to 10 percent from 125 percent earlier.
Beyond the major indices, 10 companies finished the week stronger, booking double-digit gains during the day. In this article, we name Monday's 10 top performers and detail the reasons behind their strong performance.
To come up with the list, we considered only the stocks with a $2-billion market capitalization and $5-million trading volume.
An enthusiastic customer completing a purchase and receiving an order confirmation via one of the companies online sales channels.
Shopify Inc. saw its share prices jump as high as 15.85 percent at intra-day trading on Monday before ending the day just up by 13.70 percent at $104.34 apiece, as investors cheered news of its inclusion in the Nasdaq 100.
Last week, Nasdaq announced that Shopify Inc. (NASDAQ:SHOP) will replace software company MongoDB Inc. on the Nasdaq 100 beginning May 19. The announcement followed the release of a strong earnings performance in the first quarter of the year.
During the period, Shopify Inc. (NASDAQ:SHOP) said net income, excluding the impact of equity investments, increased by 56 percent to $226 million from $144 million in the same period last year, as revenues rose by 26.8 percent to $2.36 billion from $1.86 billion year-on-year.
Shopify Inc. (NASDAQ:SHOP) said that the strong figures marked its eighth consecutive quarter of pro forma revenue growth and seventh straight quarter of GMV growth.
'We built Shopify for times like these. We handle the complexity so merchants can focus on their customers. We ship products faster than anyone else, giving merchants the edge they need to succeed,' said President Harley Finkelstein.
Overall, SHOP ranks 10th on our list of stocks that soared by double digits today. While we acknowledge the potential of SHOP as an investment, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than SHOP but that trades at less than 5 times its earnings, check out our report about this cheapest AI stock.
READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires.
Disclosure: None. This article is originally published at Insider Monkey.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
27 minutes ago
- Yahoo
Metsera Unveils First-in-Class Once-Monthly Amylin Candidate MET-233i's Positive Phase 1 Results
Metsera, Inc. (NASDAQ:MTSR) is one of the 13 Biotech Stocks with Huge Upside Potential. Metsera, Inc. (NASDAQ:MTSR) reported encouraging Phase 1 results for MET-233i, its once-monthly amylin analog, which showed a mean weight loss of up to 8.4% at Day 36 after subtracting the placebo. A laboratory technician researching a sample of cells in a biotechnology laboratory. The candidate supported monthly dosing with the longest half-life of any known amylin analog, 19 days. MET-233i had no safety indications and was well tolerated. The trial included 80 overweight or obese participants, with individual cases resulting in weight loss of up to 10.2%. MET-233i displayed high tolerability and dose-linear pharmacokinetics when tested in both single and multiple ascending dose formats. The majority of adverse gastrointestinal events occurred in the first week and were mild and dose-dependent. According to preliminary findings, it might make it practical to use its fully-biased GLP-1 RA candidate, MET-097i, in the first monthly GLP-1 + amylin combination therapy. Topline results from combination trials and an ongoing monotherapy study with MET-097i are anticipated in late 2025. Metsera, Inc. (NASDAQ:MTSR)'s HALO™ peptide stabilization platform supports the program. Metsera, Inc. (NASDAQ:MTSR) is a clinical-stage biopharmaceutical business focused on developing new treatments for obesity and metabolic diseases. It is one of the stocks with the biggest upside. While we acknowledge the potential of MTSR as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: 10 High-Growth EV Stocks to Invest In and 13 Best Car Stocks to Buy in 2025. Disclosure. None. 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
Time Business News
36 minutes ago
- Time Business News
Zero-Downtime SAP S/4HANA Cloud Migration for SMBs: A 2025 Step-by-Step Playbook Powered by AI
Small- and mid-sized businesses (SMBs) can no longer treat an ERP migration as a once-a-decade, fire-and-forget IT project. Global supply-chain shocks, rising customer expectations, and a looming SAP ECC 2027 sunset have compressed decision cycles. You need a DIY-style roadmap fast, modular, and powered by artificial intelligence—to modernise without pausing day-to-day operations or draining cash reserves. This article distils the field-tested methods Sapsol Technologies Inc. applies in real client projects. By the end you will know, step-by-step, how to move from a legacy SAP ECC or non-SAP system to SAP S/4HANA Cloud with literally seconds of cutover and where Gen-AI, predictive analytics, and machine learning amplify every phase. A project with no clear value proposition is the fastest route to cost overruns. So grab a whiteboard and write down what the board, investors and frontline users demand: Customer experience: Shoppers expect real-time inventory, personalised pricing, and instant order status. Batch-driven ECC cannot compete. Shoppers expect real-time inventory, personalised pricing, and instant order status. Batch-driven ECC cannot compete. Cash flow: IDC finds that companies embedding AI-driven demand sensing slash safety stock by 35 %. Those dollars show up as free cash. IDC finds that companies embedding AI-driven demand sensing slash safety stock by 35 %. Those dollars show up as free cash. Compliance & ESG: Regulators now inspect digital audit trails and Scope 3 emissions data. S/4HANA's built-in analytics shorten audits, while blockchain extensions like GreenToken capture ESG proof automatically. Tipping-point fact: SAP ends mainstream ECC support in 2027. For many SMBs the real deadline is 2025, because partners, lenders, and even insurance underwriters increasingly tie risk premiums to digital maturity. With purpose documented, every configuration decision can be checked against the 'Why.' Scope creep dies immediately when an idea fails that test. Zero-downtime is not marketing spin; it is an architectural pattern first popularised by hyperscale SaaS vendors and now perfected for S/4HANA Cloud migrations. Blue environment: The fresh S/4HANA Cloud tenant where you configure best-practice processes and load synchronised data. The fresh S/4HANA Cloud tenant where you configure best-practice processes and load synchronised data. Green environment: Your current live system—ECC, a third-party ERP, or a hybrid Frankenstein stack. Your current live system—ECC, a third-party ERP, or a hybrid Frankenstein stack. Load balancer / DNS cutover: A software switch that, once tests pass, points production traffic from Green to Blue in milliseconds. Most planned outages hide in three areas: data migration, interface rewiring, and user adoption. Neutralise all three and 'zero' becomes not only feasible but routine. Skimping on preparation torpedoes SMB projects more than any technology glitch. Confirm you have: Clean master data – duplicates and missing cost centres wreak havoc on universal journals. Process maps – even a simple Lucidchart swim-lane for procure-to-pay uncovers undocumented steps. Interface inventory – list every nightly flat-file, API, or Excel macro touching finance, supply chain, or HR. Testing culture – appoint user-acceptance leaders now; do not rely on 'we'll find volunteers later.' Executive mandate – a C-level sponsor ready to settle tie-breakers stops endless meetings. If any square remains blank, fix it first. Your migration speed is fixed by the slowest unresolved gap. Fire up Sapsol's Express Assessment Toolkit —lightning workshops, process questionnaires, and auto-generated heat-maps highlighting where your workflows diverge from S/4HANA best practices. —lightning workshops, process questionnaires, and auto-generated heat-maps highlighting where your workflows diverge from S/4HANA best practices. Score each process on a traffic-light scale. Red items trigger either redesign or a justified exception. Deliverables: a one-page Migration Roadmap plus an AI Opportunity Matrix showing where Fiori co-pilots, predictive MRP, or machine-learning invoice matching will create immediate wins. Spin up a trial tenant in SAP Cloud ALM. Load a 10 % representative data slice —cover edge cases like multi-currency ledgers or non-calendar fiscal years. —cover edge cases like multi-currency ledgers or non-calendar fiscal years. Plug in quick-hit AI features: predictive reorder points in Integrated Business Planning (IBP), a chatbot for accounts-payable queries. Run a demo for executives; seeing is believing, and budgets unlock faster. Launch Sapsol's Data Profiler to expose nulls, duplicates, and obsolete material masters. to expose nulls, duplicates, and obsolete material masters. Choose ETL vs. ELT wisely. If you can cleanse upstream, ELT straight into S/4 accelerates cutover. wisely. If you can cleanse upstream, ELT straight into S/4 accelerates cutover. Schedule nightly delta loads so business keeps trading while Blue catches up daily. Provision the production-grade Blue landscape, clone integrations with SAP BTP API Management. Freeze configuration, but allow master-data deltas until twelve hours pre-switch. Execute robotic smoke tests across finance close, order-to-cash, procure-to-pay. When the dashboard shows 100 % green, flip the load balancer. Downtime? Seconds—just long enough for DNS caching to refresh. Now the fun begins. Activate revenue-lifting and cost-cutting algorithms: Boards love that you deliver tangible gains inside the first quarter rather than 'sometime next year.' For a $120 million-revenue firm, total programme cost typically lands between 0.9 % and 1.5 % of revenue. Thanks to Sapsol's accelerators you can budget on the low side and still deliver: 35 % inventory reduction via AI demand sensing. via AI demand sensing. 20 % fewer rush orders because real-time MRP spots shortages days earlier. because real-time MRP spots shortages days earlier. 40 % faster period-close courtesy of AI-suggested journal entries. At an 18 % EBITDA margin your break-even point is month 14—a timeline CFOs seldom see with traditional IT projects. Want third-party proof? Review the numbers in Sapsol's manufacturing client success story: Scope bloat – freeze your MVP. Park 'wouldn't it be nice' ideas in a post-go-live backlog. Dirty data – cleanse processes , not just records; otherwise garbage re-enters on day two. Change fatigue – swap eight-hour classroom training for 5-minute embedded Fiori videos and AI co-pilot tips. Shadow IT – publish integration design rules so citizen developers don't build rogue Excel macros that break APIs. Finance & Controlling – close books faster; executives cheer. Procurement – AI invoice match frees working capital instantly. Sales & Distribution – real-time ATP promises reduce churn. Production Planning – predictive quality cuts scrap costs. Staggered go-lives ensure every quarter shows ROI, keeping stakeholders enthusiastic. Traditional MRP reacts to yesterday's averages. Switch on predictive models and you feed weather forecasts, social-media sentiment, and supplier capacity signals into IBP. The system generates safety-stock targets per SKU, per site, per day . Clients routinely free millions in working capital without a single layout change. Employees resist change when new software slows them down. Sapsol embeds natural-language co-pilots so a buyer can ask: 'Show overdue purchase orders above $10 000' and receive an actionable list in seconds. Adoption curves shift from months to days. Accounts-payable teams hate the suspense of blocked invoices. ML models analyse historical tolerances and automatically clear matches that human approvers would sign off anyway. Result: fewer escalations and early-payment discounts claimed on autopilot. Many SMBs assume their web of point-to-point interfaces will sink a cloud migration. Wrong. SAP BTP API Management and event mesh tools wrap ugly flat-file feeds into modern REST or OData endpoints with throttling, monitoring, and token-based security. Over time you retire legacy schedulers and cron jobs, but you start by encapsulating them so cutover remains swift. Cloud scares some auditors, yet S/4HANA Cloud combined with Sapsol's blueprint usually raises your security posture: Micro-segmentation: every workload gets its own security group; lateral movement dies. every workload gets its own security group; lateral movement dies. Real-time anomaly detection: behavioural ML flags suspicious postings within 200 ms. behavioural ML flags suspicious postings within 200 ms. Immutable audit logs: blockchain-backed extensions guarantee line-item integrity. Cyber-insurance premiums have dropped up to 12 % for clients adopting this stack. Digital transformation fails when culture lags technology. Key tactics: Persona-based learning paths – plant operators get scan-gun how-tos; finance teams get Fiori analytics tips. – plant operators get scan-gun how-tos; finance teams get Fiori analytics tips. Gamified dashboards – real-time KPIs create friendly competition for fastest issue resolution. – real-time KPIs create friendly competition for fastest issue resolution. Upskill sprints – lunchtime 'prompt-engineering' sessions turn hesitant staff into AI power users. When people are excited, adoption soars—and ROI with it. Some executives demand a live demo before funding. Sapsol removes guesswork with its Free SAP Proof-of-Concept: Week 1: Load a curated data subset, demonstrate universal journal posting. Load a curated data subset, demonstrate universal journal posting. Week 2: Prototype AI demand sensing and a chatbot in Fiori. Prototype AI demand sensing and a chatbot in Fiori. Week 3: Show delta data sync and night-batch replacement. Show delta data sync and night-batch replacement. Week 4: Present ROI projections using your numbers, not generic benchmarks. Boards rarely argue with their own data. Signature secured. You can limp along on a sunset ERP until 2027 and pray nothing breaks—or you can leap ahead of competitors right now with a zero-downtime, AI-powered SAP S/4HANA Cloud migration. The blueprint in this guide is not theory; it is the condensed wisdom of dozens of successful SMB transformations. Clarify your 'Why.' Follow the Blue-Green roadmap. Activate AI accelerators early. Keep culture on pace with technology. Ready to see what four short weeks can do? Start by booking the free SAP POC and reading the detailed case study. Momentum favours the bold—give your business the modern core it deserves before rivals leave you in batch-processing dust. Begin with the no-risk Free SAP Proof of Concept —and watch your future take shape in just four weeks. Then explore our real-world impact in the SAP S/4HANA case study. Finally, explore the data powerhouse behind modern retail with our deep dive into SAP CAR . In 2025's hyper-competitive landscape, standing still is the only risky move. Let's make sure your next SAP implementation is not just seamless, but future-proof, AI-powered, and ROI-positive from Day One. Contact us at to start your journey. TIME BUSINESS NEWS
Yahoo
40 minutes ago
- Yahoo
Why Palantir Technologies Hit a New All-Time High on Wednesday
One Wall Street analyst boosted Palantir's price target, despite maintaining a sell rating. The reasoning for the move was decidedly bullish. The key factor in the rating is Palantir's frothy valuation. 10 stocks we like better than Palantir Technologies › Palantir Technologies (NASDAQ: PLTR) stock continued its epic run on Wednesday, climbing as much as 5.4%. As of 3:37 p.m. ET, the stock was still up 3%. The artificial intelligence (AI) software and data mining specialist has climbed to new heights several times in recent weeks, with its stock notching a new all-time high on Wednesday. That puts the stock up more than 80% so far this year. The catalyst behind today's move was a reluctant nod from a Wall Street analyst. Mizuho analyst Matthew Broome kept an underperform (sell) rating on Palantir stock, but raised his price target for Palantir to $116, up from its previous level of $94. For those keeping score at home, that's roughly 12% below the stock's closing price on Tuesday, so the analyst is obviously playing catch-up. Broome cited Palantir's "strong recent execution and significant upward revisions" for his price target increase. The analyst also noted the company's "strong strategic positioning with large customers and potential for further accelerated growth in future years." So, if the analyst is so bullish on Palantir, why maintain the sell rating? In a word: valuation. Palantir stock is currently selling for 594 times earnings and 109 times sales. With multiples of that magnitude, it isn't for the faint of heart. Even factoring in the company's accelerating growth, it sports a price-to-earnings growth (PEG) ratio of 6, when any number higher than 1 is overvalued. Don't get me wrong: I'm a dyed-in-the-wool Palantir bull. However, valuation is a fickle mistress, and any failure by the company to execute -- real or perceived -- could bring the stock crashing down. In fact, I wouldn't be surprised to see Palantir stock get cut in half at some point over the next year -- before climbing to even greater heights. Before you buy stock in Palantir Technologies, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Palantir Technologies wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $649,102!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $882,344!* Now, it's worth noting Stock Advisor's total average return is 996% — a market-crushing outperformance compared to 174% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Danny Vena has positions in Palantir Technologies. The Motley Fool has positions in and recommends Palantir Technologies. The Motley Fool has a disclosure policy. Why Palantir Technologies Hit a New All-Time High on Wednesday was originally published by The Motley Fool
