Connect with us

Finance

Netflix stock pre-earnings: Is the upside already priced in?

Published

on

Netflix stock pre-earnings: Is the upside already priced in?

00:00 Speaker A

We are cranking it up a few extra gears with Stock of the Week. I’m locked in on Netflix ahead of its July 17th earnings report. What’s caught my attention is that the stock has been underperforming the broader market rally this month. Shares are down five and a half percent in July while the S&P 500 is up 1.7%. Judging by the Wall Street commentary out there, analysts aren’t making too much of this trend divergence though. Needham analyst, Laura Martin, is out today raising her target price on Netflix to $1500 from $1126. She says she remains impressed with Netflix’s global scale and stable content spending. Jumping into the Yahoo Finance platform, you can see Martin isn’t alone in her bullishness. The street has hiked its 2025 EPS estimate on Netflix by 79 cents compared to just 90 days ago. They have also lifted their 2026 EPS estimate by 60 cents during that same time span. Still with me, my round table Larry Tenterelli, Steve Sosnick, and Inez Ferre. Uh, Inez, I want to go to you here on Netflix out of the jump. Netflix, I can understand why these estimates have climbed. Really for the better part of two years, Netflix has come out here and they have completely destroyed, crushed, hammered, however you want to put it, earnings estimates, and they have come out and raised guidance. I’m trying to think, why won’t that happen again, given how popular the platform is?

02:24 Inez Ferre

Well, certainly you have a lot of Wall Street that believes that they can continue to outperform as a company. I mean, they’ve had their password share crackdown. They’ve had their ad tiers that has done very well. They are pushing into live sports. So there’s a lot of reasons why the street is bullish on the stock that and you mentioned the sort of underperformance this week, but look, if you take a look at a year to date chart and you take a look at where it’s come from the April lows, you have Seaport Global that has been that noted this when they actually lowered their rating to neutral because they said, “It’s a lot that’s baked into the stock right now. And on evaluation standpoint, they’re saying, let’s just wait to for for management to execute on everything that is now priced into the share into these shares because they’ve gone up since those April lows, almost 50%.”

04:01 Speaker A

Advertisement

Larry, let me get over to you here. The stock has underperformed in July. Any concern or red flag on your part there ahead of earnings?

04:24 Larry Tenterelli

No, that’s part of the rotation that I discussed that started on July 1st. The chart that you just put up showed a sharp pullback in Netflix on July 1st. And we saw that with quite a few of the high momentum stocks and money moved into small caps, healthcare, home builders. And I I think it’s a normal sector rotation. Fund managers have made a lot of money this year in tech and some of these growth stocks. And I think it’s a normal rotation to book some gains and then reallocate into underperformers. Netflix is a very strong long-term uptrend. It could always consolidate after nearly a 50% move off the lows, but the long-term trend is very strong.

05:20 Speaker A

Hey Larry, that’s what I’m trying to get at. Is it, is the stock become so priced for perfection? Even if Netflix comes out again, beats on earnings, maybe the street’s just continue to inclined to sell this name.

Advertisement

05:37 Larry Tenterelli

That’s possible. There there’s a lot of gains in a stock like Netflix that could be booked. So as a trend follower, I’m going to stay with the weekly trend, which is strong, but a lot of these stocks have had big run-ups. So if there was some profit taking into earnings or after earnings, as long as they stay over the 50-day moving average, it really wouldn’t concern me.

06:04 Speaker A

Steve, last word to you. Is Netflix perhaps one of the most perfect stocks in the market? Uh, they had Squid Games, the finale drop at the end of the quarter. This is going to be the first full quarter where they raise prices on folks. So their profit should look pretty good. And oh yeah, there’s no tariff exposure.

06:39 Steve Sosnick

Advertisement

Oh, it’s certainly been a beneficiary for all the reasons you’ve suggested and both and Inez and Larry both made great points about like the the year-to-date performance and also sort of the um, end of the second quarter markup fading uh, at the as of the 1st of July. Um, but I do think, you know, it’s proven to be a very price inelastic stock. I know that I’ve tried to cancel it and my wife and kids have revolted every time I try. Can’t cancel Netflix, Steve. What are you doing, man?

07:39 Steve Sosnick

I don’t watch it. My family does. I watch other stuff. I watch more sports than Netflix, but what ends up happening is they they they rebelled and said, “Absolutely not.” And so I think they’re, you know, this company, every time they’ve tried to do something that people thought might scare off customers, it hasn’t. The question now is, is it priced, is it priced to perfection, or is it priced beyond perfection? Uh, the trends are certainly very strong. Um, it’s been a great company and the, you know, but but as with many things market-related, have we gotten we’ll find out when the earnings come out if we’ve gotten a bit ahead of our skis, um, in terms of expecting another round of perfection. But boy, the market since the last earnings, uh, the market’s really repriced this stock in a very positive way.

Finance

4 Smart Ways to Use Your Tax Return for Financial Planning

Published

on

4 Smart Ways to Use Your Tax Return for Financial Planning

(Image credit: Getty Images)

In my work helping people think through retirement planning decisions, I often see people focus heavily on preparing their tax return but spend very little time reviewing it afterward.

By the time tax season ends, most people treat the document like a receipt: They file it, save a copy somewhere and move on.

Advertisement
Continue Reading

Finance

The CFO who turned Adobe’s finance department into an AI lab | Fortune

Published

on

The CFO who turned Adobe’s finance department into an AI lab | Fortune

Finance chief Dan Durn is turning Adobe’s finance organization into an early proving ground for agentic AI—using autonomous software agents to forecast results, scan contracts, and even answer hundreds of thousands of emails.

The push mirrors Adobe’s broader strategy around agentic AI. For customers, the company lets them choose models, combine them with their own data and Adobe’s, and point agents at specific business outcomes.

Internally, Durn, who is also in charge of technology, security and operations, has taken a similar approach to finance: pairing a rules-based, data-heavy function with AI, within a structure where finance, IT, and security report to one leader so pilots can move to production quickly. “Accuracy is non-negotiable,” he adds; that’s why Adobe is investing in structured data and governance so it can move fast without sacrificing precision, he says. 

The rise of AI is rapidly reshaping corporate leadership, accelerating turnover and elevating executives who can deliver fast, tangible results. Even long-tenured leaders face increasing pressure from investors to move aggressively on AI. Recent leadership changes, including the announced retirement of Adobe CEO Shantanu Narayen, highlight how little patience markets now have for perceived hesitation. At the same time, Adobe reported that annualized revenue from its AI-first products more than tripled year over year in its first quarter of fiscal 2026, which ended Feb. 27. Across Fortune 500 companies, this dynamic is creating a new internal proving ground where executives are judged by how effectively, and how quickly, they deploy AI to drive growth, efficiency, and innovation.

Using AI in finance

Inside finance, Durn groups AI use into three buckets: forecasting, anomaly detection, and general productivity.

Advertisement

For forecasting, AI uncovers patterns and signals in data that would be difficult for humans to detect quickly, he explains. Anomaly-detection agents flag performance that’s unexpectedly strong or weak—“things that can get lost in the sea of data”—so finance can intervene faster, he says.

However, Durn says the best examples now sit in productivity, citing three use cases:

1. Extracting information from PDFs

One of the most developed use cases involves “containers” of information—collections of PDFs such as investor transcripts, quarterly reports, and analyst research. Finance teams use Adobe’s PDF Spaces to load documents into a shared digital workspace and use an agentic AI assistant to surface themes, insights, and messaging cues in minutes rather than hours.

A recent Forrester TEI study found Acrobat’s agentic AI Assistant increases efficiencies in document summarization and analysis by 45%. Durn says that matters because “the world’s information lives in PDF,” and AI that turns static content into insights that can be used.

Advertisement

2. Cutting contract review time in half

Adobe is also using agentic AI to overhaul contract reviews across finance and procurement functions including revenue assurance, contract operations, product fulfillment, and vendor management. Instead of finance professionals combing through every clause, an AI assistant scans thousands of contracts, highlights provisions relevant to each function, and flags non-standard terms.

The system has cut review time roughly in half, speeding individual reviews and allowing teams to query the entire contract repository—for example, identifying which contracts include auto-cancellation features or foreign-exchange adjustment windows, Durn says. Adobe built its first prototype by April 2024 and began onboarding teams in January 2025.

3. Automating “common” inboxes

A third area is the “common inboxes” that handle high-volume internal and external email—shared addresses for sales, treasury, finance, and supplier questions. Adobe deployed an agentic AI assistant that auto-tags, prioritizes, routes, and, when criteria are met, auto-responds to emails. Typical queries include supplier billing issues or standard credit-quality questions coming into the treasury from Salesforce.

Advertisement

“In 2025 alone, the system auto-responded to about 300,000 emails across 19 inboxes, saving more than 5,000 hours of manual work and freeing teams to focus on more complex issues,” he says. The tool took about six months to build; beta teams began using it around August 2024, with full rollout in January 2025.

The payoff, he stresses, isn’t headcount cuts but the ability to scale more efficiently as Adobe grows.

Grassroots ideas, decade-long build

Durn traces these finance use cases to Adobe’s long AI journey and a bottom-up idea pipeline. The company has invested in machine learning and AI for more than a decade, initially to understand customer usage patterns and embed intelligence into products—work that laid the groundwork for generative and agentic AI.

Many of the best applications come from “reaching down into the organization” and asking employees where AI could remove friction or make their jobs easier, he says. There are more ideas than capacity, so the team prioritizes those with the greatest impact.

When deciding whether to green-light AI investments, Durn focuses on organizational velocity—the ability of back-office functions to keep pace with faster product innovation. If finance doesn’t adopt AI, he argues, it risks becoming a “rate limiter of growth.”

Advertisement

The actual spend is modest, he adds; much of the work involves change management and process redesign layered onto Adobe’s technology.

Durn’s perspective on change management coincides with new research from McKinsey. To capture the full value of AI, organizations need to go beyond “a piecemeal approach and push for a double transformation—both technical and organizational—that includes reimagining how work gets done across functions and workflows,” according to the report. While 88% of organizations surveyed are now experimenting with AI, fewer than 20% report tangible bottom-line results,, the research finds.

How AI is changing his own job

For his own workflow, Durn relies on AI primarily for insight generation. Ahead of earnings, his team loads pre-earnings research reports, Adobe filings, and peer transcripts into an AI-powered workspace to surface themes and likely investor questions.

Scripts and Q&A preparation are then run through models with guardrails to test whether messaging addresses those themes and to ask, “If I were an investor, what are my key takeaways?”

He sees it as a useful check on clarity and consistency—using AI to validate instincts and sharpen how Adobe communicates with the market.

Advertisement
Continue Reading

Finance

UST Finance Students Compete on Global Stage in CFA Research Challenge

Published

on

UST Finance Students Compete on Global Stage in CFA Research Challenge

A select team of students from the University of St. Thomas’ Cameron School of Business has officially launched its bid for the FY 2025–2026 Texas Region CFA (Certified Financial Analyst) Institute Research Challenge, a prestigious competition often referred to as the “Investment Olympics” for university students. 

The CFA Institute Research Challenge is an annual competition that provides university students with hands-on mentoring and intensive training in financial analysis. The competition tests students’ analytical, valuation, report writing and presentation skills, challenging them to take on the role of real-world research analysts. The 2025–2026 cycle involves more than 6,000 students from more than1,000 universities worldwide. 

Representing UST, the team is comprised of Team Captain Chih Jung Ting, MSF; Vice-Captain Daria Kostyukova, BBA/MSF; Reginald Paolo Laudato, BBA/MSF; Simon Wong, BBA in Finance; and Anjali Sebastian, BBA in Finance. 

Anjali Sebastian

The team of five students has been selected to conduct an exhaustive equity analysis of a target company, competing against top-tier universities from around the Texas area. 

“Taking part in the CFA Research Challenge has been the most intense and rewarding experience of my academic career,” said Chih Jung Ting, team captain. “We aren’t just reading case studies anymore—we are digging into real balance sheets, forecasting real economic shifts, and learning how to defend our ideas under pressure. It’s given us a true taste of what it means to be an analyst.” 

The team is supported by Department Chair of Economics and Finance Dr. Joe Ueng, CFA, and faculty advisor Dr. Dan Hu. Assisting the team was industry mentor Matt Caire, CFA, CFP®, CMT from Vaughan Nelson, a seasoned professional who provides guidance on the intricacies of equity research. 

Advertisement

“Our participation in the CFA Research Challenge is a testament to the caliber of our students and the strength of our curriculum,” said Dr. Ueng. “By applying advanced financial theory to a live market scenario, our students demonstrate that they are not just learners, but emerging professionals ready to contribute to the global financial community. We are incredibly proud of their dedication to academic excellence.” 

Dr. Sidika Gülfem Bayram, the Cullen Foundation Endowed Chair of Finance and UST associate professor of Finance said participating in the CFA Research Challenge this year creates a pivotal moment for UST students.  

“I’m impressed to see our students apply their curriculum knowledge to meet the depth and vast nature of the analysis required in such a fierce competition,” Dr. Bayram said. “I’m so proud of the effort the students put into the challenge.” 

This year, the team has been tasked with analyzing Green Brick Partners, a publicly traded company in the consumer cyclical sector. During the past several months, the students have dedicated more than 150 hours to conducting a deep-dive analysis of the company’s business model and industry position, interviewing company management and financial experts, building complex financial models to determine the stock’s intrinsic value, and compiling an “Initiation of Coverage” report with a buy, sell or hold recommendation. 

“Participating in the CFA Research Challenge allows our students to bridge the gap between classroom theory and the fast-paced world of investment management,” said Dr. Hu. “It demands a level of rigor and professional ethics that prepares them for the highest levels of the finance industry.” 

Advertisement

The team will presented its findings and defended its recommendation before a panel of judges from leading investment firms at the CFA Society local final in late February. Winners of the local competition will advance to the subregional and regional rounds, with the goal of reaching the global finals in May 2026. 

';

Continue Reading

Trending