Compare Hewlett Packard Enterprise Co (HPE) vs GraniteShares 2x Long NVDA Daily ETF (NVDL) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Hewlett Packard Enterprise Co vs GraniteShares 2x Long NVDA Daily ETF — how do they compare? Hewlett Packard Enterprise Co trades at $73.69 (market cap $94.25B), while GraniteShares 2x Long NVDA Daily ETF trades at $36.88 (market cap $3.56B). The key difference: Hewlett Packard Enterprise Co is far larger — about 26.5× GraniteShares 2x Long NVDA Daily ETF's market cap, and Hewlett Packard Enterprise Co pays a 0.8% dividend while GraniteShares 2x Long NVDA Daily ETF pays none. Which is the better fit depends on your goals — on Pluang, investors hold Hewlett Packard Enterprise Co for 33 Days and GraniteShares 2x Long NVDA Daily ETF for 15 Days on average.
| HPE | NVDL | |
|---|---|---|
Market Cap | $94.25B | $3.56B |
Volume | 16,060,854 | 9,740,643 |
Sector | Technology | Leveraged / Inverse |
52-Week High | $72.12 | $43.02 |
52-Week Low | $20.01 | $21.76 |
Typical Hold Time | 33 Days | 15 Days |
Enterprise Value | $108.28B | — |
Dividend Yield | 0.8% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
HPE trades at $73.46, up 1.87% today and near its 52-week high, driven by strong AI infrastructure demand. The stock has a bullish technical signal with moving averages supporting the uptrend. Recent earnings beats, including Q2 2026 EPS of $1.11 versus $0.932 expected, highlight operational strength. A $1.2 billion AI server order from Vultr and raised revenue guidance fuel optimism, though valuation ratios like a P/E of 36.6 suggest premium pricing.
Outlook remains positive with AI-driven growth catalysts, but risks include high valuation and competitive pressures. Analyst consensus is mixed with a $70.35 price target, slightly below current levels. Net income margin compression in 2025 to 0.16% warrants monitoring, though 2026 projections show recovery. The stock's momentum hinges on execution of AI orders and margin expansion.
NVDL (GraniteShares 2x Long NVDA Daily ETF) trades at $36.905, down 6.73% on the day, with technical indicators showing a bullish bias from moving averages but neutral oscillators. The ETF provides 2x daily leveraged exposure to NVIDIA, which continues to lead AI innovation and recently beat Q2 2027 earnings estimates. Support levels are clustered around $36-$34, with resistance at $38-$41.
While leveraged exposure to NVIDIA's AI leadership offers significant upside potential, NVDL faces risks from daily reset mechanics that can cause performance drift from long-term NVDA returns. Recent articles highlight both optimism about NVIDIA's technical breakout and concerns about the ETF's tracking efficiency. The bullish technical setup suggests near-term opportunity, but volatility remains elevated.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Hewlett Packard Enterprise Co
Hewlett Packard Enterprise is an information technology vendor that provides hardware and software to enterprises. Its primary product lines are compute servers, storage arrays, and networking equipment.
Read more on HPE →About GraniteShares 2x Long NVDA Daily ETF
NVDL is a leveraged ETF that seeks daily investment results corresponding to 200% (2x) of the daily performance of NVIDIA Corporation (NVDA) stock. It is designed as a tactical trading tool for investors with a strong bullish (long) view on NVDA. Due to the effects of compounding and leverage, the ETF is intended to be held for a single day and is not suitable for long-term investment, as its performance over longer periods may significantly deviate from two times the performance of the NVDA stock.
Read more on NVDL →
