Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

SPATIALGEN: Layout-guided 3D Indoor Scene Generation – Takara TLDR

Unlocking the 3D World with 2D Data: The First Multi-View Video Diffusion Framework for Kinematic Part Segmentation

Bursa starts firmer on Nvidia AI spend and Wall Street gains

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
IBM

Should Investors Rethink IBM After Quantum Computing Breakthrough and Recent Price Gains?

By Advanced AI EditorAugust 16, 2007No Comments7 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Thinking about what to do with International Business Machines stock right now? You are not alone. With shares of IBM up a solid 2.0% in just the past week and delivering an impressive 168.2% return over five years, investors are rightfully taking a closer look. The momentum is not just a short-term story either, as the stock has climbed 15.2% year-to-date and is up 21.3% over the past twelve months. What is behind this steady positive performance, and is it likely to continue?

Recent headlines may have something to do with the renewed enthusiasm. IBM is making waves as a leader in the race for quantum computing, positioning itself alongside giants like Google and Microsoft in a high-stakes competition to achieve what experts call “Quantum advantage.” This kind of cutting-edge tech news, combined with past innovations and strategic management changes, has kept investor interest strong, even as some headlines have raised questions around broader tech industry topics.

But here is the real question: does the price accurately reflect IBM’s true value? Valuation is where things get interesting. According to a quick check across six standard valuation metrics, IBM is undervalued in 2 out of 6, giving it a value score of 2. That number might raise eyebrows among cautious investors and offer a clue to potential upside or hidden risks.

Up next, we will break down each major valuation approach, from traditional discounted cash flows to multiples, unpacking what goes into the score and where the usual methods might fall short. Stick around, because at the end, we will share a smarter way to cut through the noise on IBM’s true worth.

International Business Machines scores just 2/6 on our valuation checks. See what other red flags we found in the full valuation breakdown.

The Discounted Cash Flow (DCF) model forecasts the company’s future free cash flows and then discounts those projections back to today’s dollars to estimate what the business is worth right now. For International Business Machines, this approach begins with a look at its latest reported Free Cash Flow, which stands at $11.48 billion. Analysts provide concrete estimates for the first five years, projecting steady growth. Simply Wall St extrapolates further to cover a full decade.

By 2027, Free Cash Flow is forecasted to reach approximately $15.52 billion, with projections extending out to $21.31 billion in 2035. Early estimates rely on analyst input, while long-term numbers are modeled based on historical data and anticipated trends within the company and broader IT industry.

Overall, the DCF model suggests an intrinsic fair value for IBM shares of $258.09. With the current market price only about 1.8% below this figure, the model implies that IBM’s stock is priced almost exactly at its intrinsic value according to these cash flow assumptions.

Result: ABOUT RIGHT

Head to the Valuation section of our Company Report for more details on how we arrive at this Fair Value for International Business Machines.

IBM Discounted Cash Flow as at Sep 2025
IBM Discounted Cash Flow as at Sep 2025

Simply Wall St performs a valuation analysis on every stock in the world every day (check out International Business Machines’s valuation analysis). We show the entire calculation in full. You can track the result in your watchlist or portfolio and be alerted when this changes.

The Price-to-Earnings (PE) ratio is the go-to valuation tool for profitable companies because it directly ties a company’s current market price to its earnings power. For IBM, which posts consistent profits year after year, the PE ratio offers a clear snapshot of how much investors are willing to pay for each dollar of earnings.

A “normal” or “fair” PE ratio depends on several moving parts. Fast-growing companies often command higher multiples because investors expect future profits to rise, while higher perceived risk tends to hold valuations down. The industry average PE in the IT sector stands at 29.04x, and IBM’s direct peers trade at around 16.06x. In contrast, IBM’s current PE ratio is 40.30x, notably above both those benchmarks.

However, quick peer or industry comparisons can miss crucial details. That is where Simply Wall St’s “Fair Ratio” comes in. The Fair Ratio, here calculated at 43.61x, factors in IBM’s unique mix of earnings growth, profit margins, company size, industry nuances, and risk profile for a holistic judgment. Because this figure is tailored, it provides a stronger signal of valuation than blunt averages.

With IBM’s actual PE of 40.30x being slightly below the Fair Ratio of 43.61x, the stock appears to be valued just about right by this key measure.

Result: ABOUT RIGHT

NYSE:IBM PE Ratio as at Sep 2025
NYSE:IBM PE Ratio as at Sep 2025

PE ratios tell one story, but what if the real opportunity lies elsewhere? Discover companies where insiders are betting big on explosive growth.

Earlier we mentioned there is an even better way to understand valuation, so let us introduce you to Narratives, a dynamic, story-driven framework that helps you connect your outlook on a company with clear financial forecasts and a real estimate of fair value.

A Narrative is simply your perspective, or “story,” about a business, describing where you see IBM heading, which drivers matter most, and what risks or opportunities lie ahead. This is linked directly to your assumptions about future revenue growth, profit margins, and share valuation.

Unlike passive numbers or static analyst targets, Narratives are accessible and easy-to-build tools on Simply Wall St’s Community page, used by millions, which help you tie your beliefs about IBM’s business to a share price and see, in a transparent and live format, how the story stacks up against today’s market price.

This means you can make smarter buy or sell decisions by seeing not just what IBM is worth according to your Narrative, but also how that value changes instantly when new earnings or headlines arrive.

For example, some investors believe that rapid AI and hybrid cloud adoption could justify a fair value of $350 per share for IBM. Others, concerned about legacy business pressures and competition, see a lower fair value closer to $198. This shows how the numbers shift when the story shifts.

For International Business Machines, we’ll make it easy for you with previews of two leading International Business Machines Narratives:

🐂 International Business Machines Bull Case

Fair value: $281.32

Current price is 9.9% below this fair value

Expected revenue growth: 5.1%

IBM’s focus on hybrid cloud, AI, and acquisitions is expected to drive revenue growth, margin expansion, and build client trust as businesses modernize their IT infrastructure.

Investments in advanced technology such as the z17 mainframe and generative AI should enhance differentiation and pricing power, supporting higher infrastructure revenue and net margins.

Analysts forecast earnings and profit margins to rise steadily. However, they highlight currency volatility and macroeconomic uncertainty as key risks. Analysts’ consensus price target is just 7.9% above today’s share price, signaling a “fairly priced” view.

🐻 International Business Machines Bear Case

Fair value: $198.00

Current price is 28.0% above this fair value

Expected revenue growth: 4.6%

The dominance of hyperscale cloud providers and the shift toward public cloud threaten IBM’s core business, which could cap long-term revenue and margin growth potential.

Rising compliance costs, large pension liabilities, and acquisition-related debt could constrain IBM’s ability to invest organically, which may limit financial flexibility and longer-term earnings power.

Despite strategic moves into AI and hybrid cloud, bearish analysts believe revenue growth will lag expectations and that the current market price is too high relative to IBM’s outlook.

Do you think there’s more to the story for International Business Machines? Create your own Narrative to let the Community know!

NYSE:IBM Community Fair Values as at Sep 2025
NYSE:IBM Community Fair Values as at Sep 2025

This 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.

Companies discussed in this article include IBM.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team@simplywallst.com



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleIBM head of research on how quantum computing will change businesses
Next Article Which Cloud Computing Stock is a Better Bet?
Advanced AI Editor
  • Website

Related Posts

IBM Explains Why AI Agents Have Delivered Underwhelming Results So Far

September 22, 2025

IBM Fires 8,000 Employees and Replaced Them With AI, Only to Rehire Just as Many Shortly After for Jobs…

September 22, 2025

An IBM Executive Shares Her Go-to Interview Question

September 22, 2025

Comments are closed.

Latest Posts

St. Patrick’s Cathedral Unveils Monumental Mural by Adam Cvijanovic

Three Loaned Banksy Works Incite Dispute Between England and Italy

Major Collection of Old Masters Paintings Could Be Fractionalized

100 Must-See Artworks at the Metropolitan Museum of Art

Latest Posts

SPATIALGEN: Layout-guided 3D Indoor Scene Generation – Takara TLDR

September 23, 2025

Unlocking the 3D World with 2D Data: The First Multi-View Video Diffusion Framework for Kinematic Part Segmentation

September 23, 2025

Bursa starts firmer on Nvidia AI spend and Wall Street gains

September 23, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • SPATIALGEN: Layout-guided 3D Indoor Scene Generation – Takara TLDR
  • Unlocking the 3D World with 2D Data: The First Multi-View Video Diffusion Framework for Kinematic Part Segmentation
  • Bursa starts firmer on Nvidia AI spend and Wall Street gains
  • Google’s Gemini AI is coming to your TV
  • Andrew Ng Says Act Fast and Take Responsibility

Recent Comments

  1. TimothyEvive on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. JeffreyDaf on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. ShannonWreds on Foundation AI: Cisco launches AI model for integration in security applications
  4. shiningcrown on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. suggested on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.