Price movement over the last 24 hours
Applied Digital Corporation vs Invesco NASDAQ 100 ETF — how do they compare? Applied Digital Corporation trades at $30.78 (market cap $8.90B), while Invesco NASDAQ 100 ETF trades at $296.17. The key difference: Invesco NASDAQ 100 ETF is trading nearer its 52-week high, Applied Digital Corporation nearer its low. Which is the better fit depends on your goals.
| APLD | QQQM | |
|---|---|---|
Market Cap | $8.90B | — |
Sector | Technology | Broad Market / Factor |
52-Week High | $49.65 | $307.23 |
52-Week Low | $9.18 | $228.02 |
Enterprise Value | $10.00B | — |
Signals from Pluang's Aura AI — not financial advice
Applied Digital (APLD) trades at $31.15, down 3.53% today, amid bearish technical signals despite unanimous analyst buy ratings. The company shows strong revenue growth with $144M in 2025 and $319M projected for 2026, but remains unprofitable with negative margins. Recent news highlights APLD's pivot to AI data centers with $36B in contracted lease value, though execution risks and customer concentration persist.
Outlook: High growth potential from AI infrastructure expansion contrasts with profitability challenges and heavy capital spending. Risks include customer concentration and debt load, but analyst consensus targets $76.67 suggest significant upside if execution improves.
QQQM trades at $298.71, up 0.32% with a bullish technical signal from moving averages. The ETF benefits from Nasdaq 100 exposure, particularly growth-oriented tech stocks, with recent news highlighting SpaceX's inclusion in the index. Support levels are firm at $295 and $293, while resistance sits near $299 and $301.
The outlook remains positive given the ETF's focus on AI-driven growth companies and strong institutional interest. Risks include market volatility and concentration in tech, but long-term growth prospects from sectors like AI infrastructure support a favorable view for growth-oriented investors.
Trailing returns across standard periods
Latest headlines on both assets
Applied Digital provides high-performance computing (HPC) infrastructure and cloud services. It designs and operates data centers tailored for AI, machine learning, and other intensive digital workloads across North America.
Read more on APLD →QQQM is an ETF designed to track the performance of the NASDAQ-100 Index. It provides exposure to the 100 largest non-financial companies listed on the NASDAQ. Positioned as a lower-cost and more long-term-investor-friendly alternative to its peer QQQ, QQQM offers the same fundamental market exposure but typically has a lower share price and is structured to appeal to investors focused on accumulation rather than active trading.
Read more on QQQM →