The recent earnings season has been marked by significant volatility, with companies experiencing wild swings despite often beating expectations. On a recent episode of Motley Fool Hidden Gems Investing, host Tyler Crow, joined by John Quass and Matt Frankel, delved into the latest reports from Cisco, Cerebrus Systems, and a lightning round of under-the-radar stocks.
**Cisco's Steady Ship in Choppy Waters**
Shares of Cisco were down 7.4% at the time of recording, a reaction considered "mild" given the current market's volatility. Cisco has consistently beaten earnings estimates for five consecutive quarters, making beats almost expected. Matt Frankel highlighted that while Cisco's AI orders reached $9.3 billion, surpassing its revised guidance of $9 billion, the market might be pricing in this growth. He noted that product orders grew 35% year-over-year, significantly higher than the 18% revenue growth, suggesting a potential acceleration in future revenue. However, management did not provide new guidance for AI orders for fiscal year 2027, which may have contributed to investor unease. Despite the dip, Cisco trades at around 40 times earnings and remains near its all-time high.
John Quass emphasized Cisco's strong earnings per share growth, up 31% for the year, outpacing its 12% revenue growth. He projected over 20% earnings per share growth for the upcoming year, highlighting healthy profitability. Tyler Crow raised a concern about Cisco's Remaining Performance Obligations (RPOs) growing only 7%, which is relatively light compared to other hardware and software companies, questioning if Cisco might be losing market share to competitors like Arista Networks.
John explained that as a legacy business generating over $60 billion in annual revenue, Cisco's AI-driven RPOs might be diluted by its extensive base of long-standing customers. He drew a parallel to Dell's transformation into an AI player, suggesting that Cisco's significant AI infrastructure order growth (up 400% year-over-year, with a projected 90% growth in fiscal 2026) is a "hidden gem" that investors should not dismiss. Matt added that while Cisco initially lagged Arista in the AI boom, its strategic decision to unbundle its hardware stack allowed its chips to be installed in non-Cisco devices, helping it regain ground. He clarified that Cisco's RPO mainly comprises software renewals from its legacy business, and the rapidly shipped AI products don't linger in the backlog.
**Cerebrus Systems: A Confusing Debut**
Cerebrus Systems, a recently public company with investor buzz, saw its stock drop 13% after reporting earnings. Tyler Crow humorously admitted mispronouncing the company's name, acknowledging the general confusion surrounding the company. Matt Frankel described the core idea: Cerebrus builds larger chips designed to replace multiple NVIDIA chips, promising lower power consumption and latency.
The reporting itself was confusing, with the company providing both GAAP revenue (up 74%, missing estimates) and "core revenue" (more than doubled, beating guidance). Core revenue excludes the impact of warrants issued to major customers like OpenAI. The revenue mix shifted towards cloud services, driven by OpenAI deployments, causing hardware revenue to fall by 23%. This shift, along with other factors, led to a nearly six-percentage-point drop in core gross margins, though management expects Q3 to be the low point. Despite a $25 billion backlog and $9 billion in cash, the revenue miss, margin issues, and a net loss contributed to the stock's decline. Management projected revenue to triple year-over-year in 2027, though John clarified that a 10x manufacturing increase mentioned by partners like Taiwan Semiconductor was separate from Cerebrus's own revenue projections.
Tyler questioned whether Cerebrus's "more with less" approach, offering highly efficient specialized chips, could undermine the growth of general-purpose GPU providers like NVIDIA or memory chip makers. Matt argued that in the current AI cycle, efficiency gains have primarily expanded the overall demand for AI, allowing both Cerebrus and NVIDIA to grow. John highlighted the distinction between NVIDIA's general-purpose GPUs (good for AI training) and Cerebrus's ASICs (specialized for inference), suggesting a future where both specialization and generalization in AI hardware will thrive.
**Lightning Round: Under-the-Radar Gems**
The hosts then indulged in a "lightning round" to highlight under-the-radar companies they follow:
* **Xometry (XMTR)**: John Quass discussed this "e-commerce of custom manufacturing" platform. Users submit plans, receive instant AI-powered pricing, and Xometry farms out the work to manufacturers. The company reported 41% revenue growth, its fourth consecutive quarter of accelerating growth, with active buyers up 20%. A new partnership with Siemens, integrating Xometry's pricing into product design workflows, was identified as a huge potential adoption driver.
* **Marqeta (MQ)**: Matt Frankel highlighted this fintech company providing third-party payment infrastructure. While its largest customer, Block (Cash App), still accounts for 41% of revenue, this is down from 46% a year ago, showing diversification. Marqeta reported total payment volume up 32% year-over-year (fourth straight quarter above 30%) and achieved positive GAAP net income for the second consecutive quarter, with adjusted EBITDA margins at 21%. Despite a stock drop due to decelerating growth forecasts, Matt sees its cheap valuation and turnaround in profitability as compelling.
* **BBB Foods (TBBB)**: Tyler Crow presented this Mexican hard discount grocery retailer, akin to Aldi. The company reported impressive sales growth of 38.7% year-over-year and same-store sales growth of 20%. With 3,200 stores, BBB Foods aims for 14,000 across Mexico and added 125 new locations in the quarter. Despite rapid expansion, the company generates significant free cash flow due to its efficient product turnover, making it an exciting growth story.
The episode concluded, emphasizing the dynamic nature of the market and the opportunities that can be found by digging deeper into earnings reports and lesser-known companies.