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Qualcomm ( QCOM ) Faces 4.91% Earnings Drop to $2.71 Per Share on July 30, 2025: Analyzing Stock Performance and Market Dynamics

Qualcomm ( QCOM ) Faces 4.91% Earnings Drop to $2.71 Per Share on July 30, 2025: Analyzing Stock Performance and Market Dynamics

These past five trading days, the stock gained +3.38% with an average daily volume of 284365 shares traded. The stock tracked a drawdown of -2.03% for this period. QCOM showed earnings on April 30, 2025. You can read more about the earnings report here. View AI-Driven Trading QCOM AI Robots (Signal Agents) AI Robot’s Name P/L QCOM / SOXS – Trading Results AI Trading Double Agent, 15min…

These past five trading days, the stock gained +3.38% with an average daily volume of 284365 shares traded. The stock tracked a drawdown of -2.03% for this period. QCOM showed earnings on April 30, 2025. You can read more about the earnings report here.

View AI-Driven Trading

QCOM

AI Robots (Signal Agents)

AI Robot’s NameP/L
QCOM / SOXS – Trading Results AI Trading Double Agent, 15min165.16%
QCOM / SOXS – Trading Results AI Trading Double Agent, 60min63.80%

AI Robots (Virtual Agents)

AI Robot’s NameP/L
QCOM / SOXS – Trading Results AI Trading Double Agent, 15min165.56%
NFLX, KLAC, QCOM, PYPL, META – Trading Results AI Trading Agent (5 Tickers), 15min133.25%
NFLX, KLAC, QCOM, PYPL, META – Trading Results AI Trading Agent (5 Tickers), Long Only, 15min76.88%

Qualcomm Incorporated (QCOM), a global leader in wireless technology and semiconductor solutions, is set to release its third-quarter fiscal 2025 earnings on July 30, 2025, with analysts projecting a 4.91% decline in earnings per share (EPS) to $2.71 compared to the prior year. Despite this anticipated dip, QCOM’s stock has shown resilience, gaining 3.38% over the past five trading days with an average daily volume of 284,365 shares, though it experienced a modest drawdown of -2.03% during the same period. This article delves into the factors driving QCOM’s recent stock performance, the potential catalysts for growth or decline, and the role of advanced AI-driven trading tools, such as those offered by Tickeron, in navigating these market dynamics. Additionally, it explores correlated stocks, inverse ETFs, and the broader market context on July 30, 2025, to provide a comprehensive financial analyst perspective.

QCOM’s Recent Stock Performance: A Snapshot

Qualcomm’s stock has exhibited notable volatility in 2025, reflecting both its sensitivity to macroeconomic trends and its strategic positioning in high-growth sectors like automotive, IoT, and AI. Over the past five trading days leading up to July 30, 2025, QCOM gained 3.38%, driven by optimism surrounding its diversification efforts and strong demand for its Snapdragon platforms. However, a -2.03% drawdown in the same period highlights the stock’s susceptibility to market fluctuations and investor sentiment shifts. As of July 29, 2025, QCOM’s market capitalization stood at approximately $176.83 billion, with a stock price volatility of 2.24% and a beta coefficient of 1.44, indicating higher-than-average market risk.

In its most recent earnings report on April 30, 2025, Qualcomm reported an EPS of $2.85, surpassing expectations of $2.82, and revenues of $10.8 billion, beating estimates of $10.7 billion. This performance underscores Qualcomm’s ability to exceed Wall Street forecasts, even amidst challenges such as the loss of Apple as a major customer and pressures in the smartphone market. The upcoming July 30 earnings report, however, projects a more cautious outlook, with the expected EPS decline signaling potential headwinds.

Factors Contributing to QCOM’s Recent Gains

Diversification Beyond Smartphones

Qualcomm’s strategic shift away from its traditional reliance on smartphone chipsets has been a key driver of its recent stock gains. The company’s Qualcomm CDMA Technologies (QCT) segment, which develops integrated circuits and system software for mobile devices, automotive systems, and IoT applications, reported $9.5 billion in revenues in the second quarter of fiscal 2025, a significant contributor to the company’s overall $10.8 billion in non-GAAP revenues. Notably, the automotive segment saw a remarkable 59% year-over-year growth, fueled by demand for connectivity, digital cockpit solutions, and advanced driver-assistance systems (ADAS). Similarly, IoT revenues grew by 27%, driven by consumer electronics and industrial applications.

This diversification has bolstered investor confidence, as Qualcomm reduces its exposure to the maturing smartphone market. The company’s focus on high-growth areas like automotive and IoT, combined with its leadership in on-device AI, positions it to capture significant market share in emerging technologies. For instance, Qualcomm’s Snapdragon platforms are increasingly integrated into Android devices and PCs, enhancing connectivity and supporting revenue growth.

Strategic Acquisitions and AI Investments

Qualcomm’s recent acquisition of Alphawave Semi, a U.K.-based semiconductor company specializing in high-speed data center connectivity, for $2.4 billion, has further strengthened its portfolio. This move enhances Qualcomm’s capabilities in AI-driven data centers, a rapidly growing market. Additionally, the launch of an AI research and development center in Vietnam underscores Qualcomm’s commitment to advancing on-device AI, which is expected to drive long-term growth. These strategic initiatives have contributed to the stock’s 3.38% gain over the past five trading days, as investors view Qualcomm as a key player in the AI and connectivity ecosystems.

Strong Financial Metrics

Qualcomm’s financial health remains robust, with a trailing twelve-month (TTM) EPS of $9.91 and an EBITDA of $13.38 billion, reflecting a 30.69% EBITDA margin. The company’s return on equity (ROE) stands at an impressive 39.7%, significantly higher than the semiconductor industry average. Furthermore, Qualcomm’s commitment to shareholder value is evident in its quarterly dividend of $0.89 per share, yielding 2.14% as of July 29, 2025. These metrics have supported investor optimism, despite the projected earnings decline.

Headwinds Contributing to the Projected Earnings Decline

Loss of Apple as a Major Customer

One of the primary challenges facing Qualcomm is the anticipated loss of Apple as a major customer, as Apple transitions to in-house modem chips for its iPhones. This shift is expected to impact Qualcomm’s Qualcomm Technology Licensing (QTL) segment, which generated $1.3 billion in revenues in the second quarter of fiscal 2025. The loss of Apple’s business, combined with pressures in the smartphone market, has contributed to the projected 4.91% EPS decline to $2.71 for the July 30 earnings report.

Global Trade Uncertainties and Tariff Pressures

Qualcomm’s significant exposure to China, where demand for premium-tier smartphones has driven growth, also introduces risks. Worsening U.S.-China trade tensions and potential tariff increases could disrupt Qualcomm’s supply chain and licensing profitability. Despite Qualcomm’s diversified global supply chain, which has mitigated some tariff impacts, these uncertainties have tempered investor expectations, contributing to the stock’s -2.03% drawdown over the past five trading days.

Competitive Pressures from MediaTek and ARM

Recent posts on Tickeron’s Twitter highlight competitive pressures from MediaTek and ARM, which have been capturing market share in the premium smartphone segment. Qualcomm’s reliance on regular Snapdragon price hikes to maintain profitability has been challenged by these competitors, further contributing to the cautious earnings outlook. These dynamics have led to a mixed sentiment among investors, with some anticipating further volatility post-earnings.

Potential for Future Growth or Decline

Bullish Catalysts for Growth

Despite the projected earnings decline, several factors suggest potential for future growth. Qualcomm’s leadership in 5G technology and its dominant patent portfolio provide robust downside protection. The company aims to grow its non-handset revenues to $22 billion by fiscal 2029, driven by automotive, IoT, and PC segments. Analyst price targets reflect this optimism, with an average 12-month target of $183.19, implying a 13.02% upside from the current price of approximately $161.05. Bernstein analyst Stacy Rasgon, for instance, reiterated a Buy rating with a $185 price target, citing Qualcomm’s attractive valuation and double-digit earnings growth potential.

Moreover, Qualcomm’s advancements in on-device AI, particularly with the integration of efficient AI models like DeepSeek R1, position it to capitalize on the growing demand for AI-powered devices. The company’s new X85 modem platform with AI features further enhances its competitive edge. These factors, combined with a strong product portfolio and strategic acquisitions, suggest that Qualcomm could outperform expectations in the long term, potentially driving stock price appreciation.

Bearish Risks and Volatility

On the bearish side, Qualcomm faces risks from client vertical integration, such as Apple’s shift to in-house chips, and the adoption of open-source architectures, which could erode chip sales and royalty streams. Additionally, the stock’s overbought technical signals, as noted by Tickeron’s AI analysis, suggest potential for a near-term pullback. If the July 30 earnings report misses expectations, QCOM could test support levels around $120, as indicated by technical analysis on TradingView. A miss could exacerbate the recent -2.03% drawdown, potentially leading to a -10.03% annual decline, as observed over the past year.

Highly Correlated Stock: Broadcom Inc. (AVGO)

Qualcomm’s stock performance is closely correlated with Broadcom Inc. (AVGO), another leading semiconductor company with a market capitalization of $1.384 trillion as of July 29, 2025. Both companies operate in the wireless and connectivity space, benefiting from similar market trends, such as 5G adoption and AI-driven demand. Over the past year, AVGO has shown a high correlation with QCOM, driven by their shared exposure to smartphone and IoT markets. For instance, both stocks have benefited from increased demand for premium-tier smartphones in China, with Qualcomm reporting 13% growth in handset revenues and Broadcom capitalizing on its connectivity solutions. Investors tracking QCOM’s performance should also monitor AVGO, as its stock movements often mirror Qualcomm’s due to overlapping market drivers. For real-time insights into correlated stocks, Tickeron’s AI Screener can identify similar opportunities.

Inverse ETF with Highest Anti-Correlation: Direxion Daily Semiconductor Bear 3X Shares (SOXS)

The Direxion Daily Semiconductor Bear 3X Shares (SOXS) exhibits the highest anti-correlation with QCOM, making it a critical tool for traders seeking to hedge or capitalize on Qualcomm’s potential declines. SOXS is designed to deliver three times the inverse daily performance of the PHLX Semiconductor Sector Index, which includes Qualcomm. Tickeron’s AI Trading Double Agent, operating on a 15-minute timeframe, has demonstrated remarkable success with QCOM/SOXS pairs, achieving a 165.16% profit/loss (P/L) in signal-based trading and 165.56% in virtual accounts. This performance highlights the potential of using inverse ETFs like SOXS to profit from QCOM’s volatility, particularly in the event of an earnings miss on July 30. Traders can leverage Tickeron’s AI Real Time Patterns to identify optimal entry and exit points for such strategies.

Tickeron’s AI Trading Agents and Financial Learning Models

Tickeron has revolutionized trading with its advanced Financial Learning Models (FLMs) and AI Trading Agents, which have significantly enhanced market responsiveness. By scaling its AI infrastructure, Tickeron introduced new 15-minute and 5-minute AI Trading Agents, a leap forward from the industry-standard 60-minute models. These agents analyze vast datasets, including price action, volume, and news sentiment, to deliver precise trading signals. For QCOM, Tickeron’s AI Trading Double Agent (15min) for QCOM/SOXS pairs achieved a 165.16% P/L, while the AI Trading Agent (5 Tickers, 15min) for NFLX, KLAC, QCOM, PYPL, and META yielded 133.25% P/L. These results demonstrate the power of Tickeron’s FLMs in adapting to rapid market changes.

The introduction of shorter ML timeframes allows Tickeron’s agents to react swiftly to intraday movements, providing traders with an edge in volatile markets like semiconductors. For instance, the AI Trend Prediction Engine can forecast QCOM’s price movements based on historical and real-time data, while the AI Patterns Search Engine identifies recurring patterns in QCOM’s price action. Traders can explore these tools at Tickeron’s bot trading page or follow updates on Tickeron’s Twitter.

Tickeron’s Product Suite: Empowering Traders

Tickeron offers a comprehensive suite of AI-driven tools to enhance trading strategies for stocks like QCOM. The AI Trend Prediction Engine provides predictive analytics for stock price movements, while the AI Patterns Search Engine and AI Real Time Patterns identify actionable trading opportunities. The AI Screener allows users to filter stocks based on custom criteria, and the Time Machine in AI Screener enables backtesting of strategies. Additionally, Daily Buy/Sell Signals offer real-time recommendations for QCOM and other stocks. These tools, powered by Tickeron’s FLMs, empower both retail and institutional investors to make data-driven decisions.

Trading with Tickeron’s AI Robots and Inverse ETFs

Trading QCOM with Tickeron’s AI Robots, particularly in conjunction with inverse ETFs like SOXS, offers a powerful strategy for navigating market volatility. The AI Trading Double Agent for QCOM/SOXS leverages FLMs to exploit anti-correlation, delivering high returns in both signal-based and virtual account trading. For instance, the 15-minute Double Agent achieved a 165.56% P/L in virtual accounts, showcasing its ability to capitalize on QCOM’s price swings. Traders can access these robots through Tickeron’s bot trading platform or explore copy trading options to replicate successful strategies. The virtual agents page provides detailed performance metrics, enabling traders to select the best tools for their portfolios.

Market News Impacting QCOM on July 30, 2025

On July 30, 2025, several market developments are likely to influence QCOM’s stock performance. The broader semiconductor sector is experiencing strong earnings momentum, driven by AI-related demand and product ramps, as noted by KeyBanc. However, concerns about U.S.-China trade tensions and potential export restrictions on chipmakers could weigh on sentiment. A recent report from Tickeron indicates that Trump’s administration is set to release results of a chip imports probe in two weeks, which could introduce further uncertainty. Additionally, Tesla’s $16.5 billion chip deal with Samsung may shift focus to competitors, potentially pressuring QCOM’s market share. These news events, combined with Qualcomm’s earnings report, will likely drive significant volatility on July 30.

Analyst Perspectives and Market Sentiment

Analyst sentiment toward QCOM remains cautiously optimistic, with a Moderate Buy consensus based on eight Buy, nine Hold, and one Sell recommendation. The average price target of $179.50 suggests an 11.5% upside, while higher estimates reach $225.00. Tickeron’s AI stock analyst assigns an Outperform rating with a $185 price target, citing Qualcomm’s strong financials and diversification efforts. However, technical signals indicate overbought conditions, and posts on Tickeron’s Twitter highlight competitive pressures from MediaTek and ARM, which could cap near-term gains. Traders should monitor Tickeron’s real-time signals for updates on market sentiment post-earnings.

Conclusion: Navigating QCOM’s Earnings and Beyond

Qualcomm’s third-quarter fiscal 2025 earnings report on July 30, 2025, is a pivotal event for investors, with the projected 4.91% EPS decline to $2.71 reflecting challenges like the loss of Apple and global trade uncertainties. However, Qualcomm’s diversification into automotive, IoT, and AI, coupled with its strong financial metrics, positions it for long-term growth. The stock’s recent 3.38% gain and -2.03% drawdown underscore its volatility, making tools like Tickeron’s AI Trading Agents and AI Screener invaluable for navigating these dynamics. By leveraging correlated stocks like AVGO, inverse ETFs like SOXS, and Tickeron’s advanced FLMs, investors can optimize their strategies for QCOM’s earnings and beyond. For the latest insights and trading signals, visit Tickeron.com or follow Tickeron’s Twitter.

QCOM and Stocks Correlation & Price change

A.I.dvisor indicates that over the last year, QCOM has been closely correlated with LRCX. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if QCOM jumps, then LRCX could also see price increases.

Ticker /
NAME
CorrelationTo QCOM1D PriceChange %
QCOM100%+2.59%
LRCX – QCOM80%Closely correlated+1.28%
ADI – QCOM79%Closely correlated-2.02%
KLAC – QCOM78%Closely correlated+2.68%
NXPI – QCOM78%Closely correlated-0.55%
RMBS – QCOM76%Closely correlated+9.85%
AMKR – QCOM76%Closely correlated+16.60%
AMAT – QCOM75%Closely correlated+0.68%
KLIC – QCOM74%Closely correlated-0.91%
MPWR – QCOM74%Closely correlated+0.60%
ACLS – QCOM73%Closely correlated-2.74%
LSCC – QCOM73%Closely correlated+1.09%
FORM – QCOM72%Closely correlated-0.77%
ARM – QCOM72%Closely correlated+4.45%
AMD – QCOM72%Closely correlated+14.68%
ENTG – QCOM72%Closely correlated+0.92%
ASX – QCOM71%Closely correlated+1.85%
SLAB – QCOM71%Closely correlated-3.77%
CRUS – QCOM71%Closely correlated+0.73%
MCHP – QCOM71%Closely correlated-6.09%
TER – QCOM70%Closely correlated-3.34%
QRVO – QCOM70%Closely correlated-3.71%
POWI – QCOM69%Closely correlated-6.05%
ON – QCOM69%Closely correlated-6.52%
PLAB – QCOM69%Closely correlated+10.71%
VECO – QCOM69%Closely correlated+3.00%
SYNA – QCOM68%Closely correlated+0.18%
ASML – QCOM67%Closely correlated+2.10%
COHU – QCOM67%Closely correlated-2.63%
MU – QCOM66%Closely correlated+2.51%
SWKS – QCOM66%Loosely correlated-1.99%
GFS – QCOM66%Loosely correlated+0.10%
TXN – QCOM65%Loosely correlated-10.95%
STM – QCOM64%Loosely correlated-20.56%
TOELY – QCOM64%Loosely correlated-0.96%
NVDA – QCOM64%Loosely correlated+5.08%
SIMO – QCOM63%Loosely correlated+7.63%
DIOD – QCOM63%Loosely correlated-5.13%
CAMT – QCOM63%Loosely correlated+6.40%
VSH – QCOM63%Loosely correlated-1.71%
NVMI – QCOM62%Loosely correlated-1.68%
AMBA – QCOM62%Loosely correlated+0.79%
AVGO – QCOM62%Loosely correlated+6.76%
MTSI – QCOM61%Loosely correlated+2.38%
ONTO – QCOM61%Loosely correlated+4.27%
RNECY – QCOM61%Loosely correlated+2.83%
SITM – QCOM61%Loosely correlated-2.38%
TSM – QCOM60%Loosely correlated+2.87%
AOSL – QCOM60%Loosely correlated-2.87%
IPGP – QCOM60%Loosely correlated+4.41%
UCTT – QCOM60%Loosely correlated+2.46%
UMC – QCOM59%Loosely correlated-3.00%
ALGM – QCOM59%Loosely correlated-6.15%
PI – QCOM58%Loosely correlated+8.46%
DSCSY – QCOM58%Loosely correlated-2.38%
ASMIY – QCOM57%Loosely correlated-8.52%
ICHR – QCOM57%Loosely correlated-3.14%
MRVL – QCOM55%Loosely correlated+6.04%
CEVA – QCOM53%Loosely correlated-2.47%
AIP – QCOM53%Loosely correlated+12.50%
ATEYY – QCOM53%Loosely correlated-3.74%
PENG – QCOM52%Loosely correlated+0.65%
ASMLF – QCOM52%Loosely correlated+2.95%
QUIK – QCOM51%Loosely correlated-1.40%
TSEM – QCOM51%Loosely correlated-1.99%
IFNNY – QCOM50%Loosely correlated-6.14%
NVEC – QCOM50%Loosely correlated-19.80%
ACMR – QCOM49%Loosely correlated+7.04%
INTC – QCOM49%Loosely correlated-12.18%
MXL – QCOM48%Loosely correlated+12.11%
LSRCY – QCOM47%Loosely correlated-11.39%
SMTC – QCOM47%Loosely correlated+3.90%
SKYT – QCOM47%Loosely correlated-0.73%
LASR – QCOM45%Loosely correlated+8.32%
CRDO – QCOM45%Loosely correlated+17.77%
AEHR – QCOM44%Loosely correlated-6.57%
INDI – QCOM44%Loosely correlated-4.88%
ALAB – QCOM44%Loosely correlated+1.22%
TOELF – QCOM42%Loosely correlated+1.28%
BESIY – QCOM41%Loosely correlated-5.92%
HIMX – QCOM40%Loosely correlated-5.25%
MRAM – QCOM39%Loosely correlated-4.49%
ROHCY – QCOM38%Loosely correlated-1.25%
IMOS – QCOM38%Loosely correlated-1.75%
ATOM – QCOM37%Loosely correlated-4.04%
MX – QCOM37%Loosely correlated-1.18%
INTT – QCOM36%Loosely correlated-5.40%
AXTI – QCOM35%Loosely correlated-2.55%
NVTS – QCOM35%Loosely correlated-12.88%
AAOI – QCOM35%Loosely correlated-8.43%
GCTS – QCOM33%Poorly correlated-6.29%
POET – QCOM30%Poorly correlated-8.81%
ASMVY – QCOM29%Poorly correlated+14.34%
WOLF – QCOM29%Poorly correlated+7.75%
GSIT – QCOM29%Poorly correlated-19.29%
DQ – QCOM28%Poorly correlated-5.24%
PXLW – QCOM26%Poorly correlated+1.43%
IFNNF – QCOM25%Poorly correlated-5.91%
AIXXF – QCOM24%Poorly correlated-6.77%
PRSO – QCOM24%Poorly correlated-11.88%
AWEVF – QCOM24%Poorly correlated-0.64%
LAES – QCOM24%Poorly correlated-8.21%
SUOPY – QCOM23%Poorly correlated-1.03%
ASYS – QCOM22%Poorly correlated+0.86%
NA – QCOM21%Poorly correlated-9.75%
DVLT – QCOM21%Poorly correlated-17.24%
TRT – QCOM21%Poorly correlated-1.48%
SQNS – QCOM20%Poorly correlated-39.83%
VLN – QCOM20%Poorly correlated-9.16%
LEDS – QCOM20%Poorly correlated-6.63%
ADTTF – QCOM20%Poorly correlated+0.45%
WKEY – QCOM20%Poorly correlated-2.02%
ICG – QCOM9%Poorly correlated-6.42%

Disclaimers and Limitations

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