3 Growth Stocks Whose Valuations Could Swing After The CPI Report

Inflation is about to step back into the spotlight, and interest rate expectations with it, as the August CPI report lands just days before the Fed’s next decision. That clash between fresh data and Fed policy often reshapes how investors treat growth and tech stocks that react sharply to moves in borrowing costs. This piece walks through three stocks exposed to this CPI story and explains why their next chapter could matter to your portfolio.

The three companies highlighted next are just a sample, since the full screen surfaced 36 more US growth and tech stocks with interest rate sensitivity and equally compelling stories that are not covered below. To identify and analyze those additional ideas with the same filters used for this piece, head straight into the US Growth and Tech Stocks Sensitive to Interest Rates screener.

Samsara (IOT)

Overview: Samsara runs a connected operations platform that uses IoT hardware, AI and software to help fleets and industrial operators manage safety, efficiency and costs.

Operations: Samsara generates about US$1.85b from software and programming, with roughly US$1.57b from the United States and US$276 million from other regions.

Market Cap: US$22.63b

Within a screen full of rate sensitive growth stories, Samsara offers software-style recurring revenue anchored to real world fleets and job sites. This is exactly where higher borrowing costs and tighter budgets tend to test the strength of long term digital projects.

"A major catalyst will be Samsara’s FY2027 Q1 earnings release on May 28, 2026, where investors will watch closely for the company’s potential first GAAP-profitable quarter."

What happens to Samsara’s valuation hinges on how one less visible pressure shapes the balance between rapid expansion and sustained profitability.

That trade off is exactly what sits at the center of the full narrative for Samsara, which unpacks how Samsara’s growth story could evolve as rates and profitability expectations keep shifting.

Advanced Micro Devices (AMD)

Overview: Advanced Micro Devices designs and sells processors and chips that power AI data centers, PCs, gaming consoles, and embedded systems worldwide.

Operations: Advanced Micro Devices produces about US$22.21b from Data Center, US$11.79b from Client, US$3.66b from Embedded, and US$3.64b from Gaming products.

Market Cap: US$850.67b

Advanced Micro Devices sits squarely in this interest rate sensitive growth screen because so much of its AI and data center story depends on investors assigning a rich value to years of future cash flows rather than today’s earnings alone.

"Market optimism around AMD's AI accelerator and data center CPU ramp (e.g., MI350/355 and EPYC Turin) may be overshooting near-term reality, given that hyperscaler and government/sovereign demand visibility and regulatory approvals are still developing and can introduce execution risk, potentially leading to overestimated future revenues."

What ultimately happens to AMD’s premium growth profile may hinge on how one underappreciated bottleneck shapes the pace of those future AI orders.

That bottleneck is exactly where the full narrative for Advanced Micro Devices digs in, separating hype from the scenarios where AMD’s AI ramp could still accelerate meaningfully.

MongoDB (MDB)

Overview: MongoDB provides a cloud based general purpose database platform that helps developers build, run, and scale modern applications worldwide.

Operations: MongoDB generates about US$2.78b from data processing, with reported exposure across Asia Pacific, EMEA and segment level adjustments.

Market Cap: US$28.87b

MongoDB is a textbook example of why high growth software tied to AI and cloud sits in an interest rate sensitive bucket, since so much of its value rests on cash flows investors expect years down the line rather than what is already on the income statement today.

"The exponential growth of data from digital transformation and AI initiatives is increasing demand for MongoDB's scalable, flexible platform, as evidenced by strong customer uptake among large enterprises and new AI-native companies."

What happens if a single shift in how those future workloads are priced changes the market’s confidence in that long runway?

That pricing twist is the crux of the full narrative for MongoDB, which maps how MongoDB could turn those AI driven workloads into accelerating value rather than stalled expectations.

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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.

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