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S&P 500 earnings. ETFs. AI. Private markets. Portfolio scenario analysis. Fresh analysis from @FactSet experts 📊 Check out the latest articles on bit.ly/4i6LkfD
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A paradox of conversational portfolio construction: The easier it becomes to ask for a sophisticated portfolio, the more important to have a rigorous engine to solve for it. Georgi Mitov discusses the ideal system: ease of use & a transparent, auditable, changeable. Read his full analysis: bit.ly/4z68BFO
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"The way research is being done on Wall Street is changing." As AI becomes increasingly embedded in day-to-day workflows, firms are looking for new ways to connect trusted data, insights, and research tools. In the latest article from Nyela Graham, Alexander Nacht, @FactSet's Global Head of AI Partnerships and Strategy, shares his perspective on how AI is expanding access to financial intelligence and helping professionals integrate trusted data into the tools and workflows they use every day. For more insights from Alexander, read the full piece here: bit.ly/4hZa8aD
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Margins are near record highs. So what happens if inflation doesn’t cool off? Dan Nathan, @GuyAdami and @LizThomasStrat break down the latest Earnings Insight on @mrktcall WATCH: youtube.com/live/HDE8UmkE4ik
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An activist discloses a stake in a company you cover. What happens next decides who shapes the client conversation. @FactSet AI for Banking, a premium add-on to the FactSet Workstation, monitors your coverage universe, assembles a sourced first draft, and builds branded pitch materials in the tools your team already uses. Human review comes before anything reaches a client. 📊 Read what it does at each step: bit.ly/4yAkYJ5
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New AI model to bring in? Another data source to add? One more tool your teams want to use? Now multiply that across an enterprise. When each new addition requires its own custom integration, the infrastructure can quickly become as much of a challenge as the technology itself. That’s the bigger idea behind Model Context Protocol (MCP): not another connector, but a common standard for how AI communicates with the systems around it. Models, data, and tools can work through the same protocol instead of requiring a different integration for every combination. See what a common standard could change for capital markets: bit.ly/4rTx1iV
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📱 $META Street Takeaways - Meta Platforms Q3 Earnings ($680.20 -$17.32) Overview: • Shares (2.5%). Revenue +26.1% y/y beat by 2.0%. EPS ex-items also ahead by 13.1%/$0.86. OM ex-legal charge 340bps above consensus. CapEx $33.94B vs SA $40.95B. Free cash flow $2.12B vs SA ($9.22B). • Daily active people +3% y/y missed by (0.3%). ARPP 2.3% above. • Q4 revenue guided above at the mid. FY CapEx range narrowed toward high end of prior range. • Intends to file a restated certificate of incorporation in Delaware to establish Class C common stock, effective date of 19-Jan-27. • Analysts were positive on the results and outlook. While compute remains something of a limiting factor in Muse development, solid trends for the product were highlighted as >10M have deployed in the US and Canada with retention materially better than that seen in Threads rollout. Furthermore, shopping the primary use case viewed as positive indicator of future capacity for monetization. Significant runway seen remaining in core ads with FOA revenue +26% y/y in Q3 on 10% growth in impressions and 14% in average price per ad. Record engagement for Facebook and Instagram pointed to while MAUs for other apps are also solid. New class of shares seen enabling capital raises without diluting Mr. Zuckergberg. $META #META #Earnings #MetaPlatforms #Tech #Facebook #instagram #Muse #Threads #Ai #SocialMedia #EPS #Zuckerberg #FinTwit #CapEx Gain immediate access to earnings insights with #StreetAccount: bit.ly/3xqrpo7
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What does "governed data" actually look like in practice? Here's @FactSet's MCP server connected inside @Databricks Playground: 13 tools exposed to the model, covering fundamentals, estimates, ownership, supply chain, M&A, RBICS, calendar events, and more, plus a parallel multi-tool wrapper for running several lookups in one pass. The model doesn't have to guess which dataset holds an answer or scrape a page and hope the numbers are current. It calls a defined tool, gets a structured, point-in-time response, and that response is traceable back to its source. This is the layer that sits between "agent framework" and "trustworthy output": a governed set of callable tools, not a general-purpose crawler. Curious how this fits into the rest of the stack? Our latest blog breaks it down: bit.ly/4B4hukz
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🏢 Office REITs Q3 Preview: Focus on interest rate headwinds, leasing CapEx, debt maturities and paydown ‣ Office REITs kicking off Q3 results, with SL Green (SLG) and Brandywine (BDN) AMC today, with Kilroy Realty (KRC) AMC tomorrow. • Sentiment slightly more bullish versus the sector, with buy-rated consensus 58% (RE Sector 54%), as commentary highlights strengthening fundamentals, flagging Q3 national and metro statistics including occupancy, rent growth, leasing volume, and absorption. • Interest rate headwinds the big area of focus, with recent backup in yields leading to some downgrades, broad target cuts, across the group. Commentary on refinancings, deleveraging, as well as development/construction debt facilities, and impacts to disposition plans, yields. • Leasing CapEx, concessions, also flagged as attention turns to FFO growth versus SSNOI, with tenant incentives having hindered inflections, accelerations, in the bottom-line metric. AI jobs impact also highlighted in terms of additional color around tenant commentary, demand/sizing of space. • Bullish also flagging valuation relative to current (improved) demand backdrop; B/S in better shape, with capital access, terms, more favorable, both in terms of potential equity partners, JV stakes, as well as debt funding. • Bearish seeing rate backup as adding to NT headwinds, pressuring sentiment, and pushing out a sustained recovery in positively trending earnings growth seen as needed in order for a real step-up in market sentiment and pivot towards more constructive views. $SLG $BDN $KRC #OfficeReits #REITS #CommercialRealEstaste #Earnings #CapEx #FFO #SSNOI #AI #Leasing #FinTwit #REITInvesting #RealEstate Gain immediate access to earnings insights with #StreetAccount: bit.ly/3xqrpo7
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🚀 $SPCX Street Takeaways - SpaceX Q3 Earnings ($158.22 +$10.43) Overview: • Shares +7.1%. Revenue +161% y/y beat by 13.3%. All three segments ahead on the top line and adj. EBITDA. Adj. EBITDA EPS also ahead by $0.22/169%. GM 520bps above consensus. Adj. EBITDA margin 890bps above. CapEx +185% y/y to $19.59B vs SA $18.06B. • Q4 CapEx guided $35-40B vs FactSet $19.76B. Q1 2027 revenue guided $33-37B vs FactSet $22.23B. • On the call Elon Musk says Tesla and SpaceX have formed special committees to explore potential merger at the request of shareholders. • Analysts notably positive on the results and outlook. While all segments were ahead of expectations the primary focus was on AI, or the newly renamed segment Superintelligence SI. Increasing GPU spot rates highlighted with new deals at >$50/watt indicate a payback period below one year as management thinks below six months is plausible by next year. Total compute 2026 target lifted to 2.5GW from 2.0GW at year end with an incremental 10GW in 2027 and an internal goal of 20GW. Capacity adds in 2027 likely skew toward H2 on timing of Vera Rubin deliveries. $SPXC $TSLA #SpaceX #Earnings #Tech #TechStocks #AIEarnings #AI #SpaceTech #ElonMusk #Tesla #Capex #DataCenter #SuperIntelligence #GPU Gain immediate access to earnings insights with #StreetAccount: bit.ly/3xqrpo7
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Heading out? Listen to our quantitative analysis of Q3 EPS at the aggregate & sector levels along with revenues & analysts’ expectations for CY 2026 earnings growth. Written by Vice President and Senior Earnings Analyst John Butters at @FactSet and narrated by AI. Spotify: bit.ly/4s9irnr Apple Podcasts: apple.co/4jZggRo
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Here are the 10 largest U.S. M&A deals for CY 2026 (through September 30). #mergersandacquisitions #markets #MnA, bit.ly/4dQJMFn
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Can AI make portfolio optimization accessible to non-quants? We gave FPE Intelligence, @FactSet’s coding agent, one sentence: “Replicate the S&P 500 with fewer than 50 securities, sector exposures within 1% of benchmark.” Read our full article for the results: bit.ly/4B8J6oA
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13 out of 21 sectors witnessed a year-over-year decrease in U.S. M&A deals on a trailing 3-month basis (Jul 26 - Sep 26 vs. Jul 25 - Sep 25). #mergersandacquisitions #markets #MnA, bit.ly/4dQJMFn
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The number of U.S. M&A deals decreased by 2% from August to September, while total spending on U.S. M&A deals decreased by 28% during this time. #mergersandacquisitions #markets #MnA, bit.ly/4dQJMFn
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