Compare Danaher Corporation (DHR) vs GraniteShares 2x Long NVDA Daily ETF (NVDL) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Danaher Corporation vs GraniteShares 2x Long NVDA Daily ETF — how do they compare? Danaher Corporation trades at $198.81 (market cap $140.88B), while GraniteShares 2x Long NVDA Daily ETF trades at $33.06. The key difference: Danaher Corporation pays a 0.8% dividend while GraniteShares 2x Long NVDA Daily ETF pays none. Which is the better fit depends on your goals.
| DHR | NVDL | |
|---|---|---|
Market Cap | $140.88B | — |
Sector | Health | Leveraged / Inverse |
52-Week High | $242.05 | $43.02 |
52-Week Low | $161.91 | $21.76 |
Enterprise Value | $153.66B | — |
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
Danaher (DHR) trades at $200.16, up 0.56% today, with a bullish technical signal from moving averages and strong analyst support. The company reported Q1 2026 EPS of $2.06, beating estimates of $1.94, marking the third consecutive quarterly beat. Revenue for 2025 was $24.57 billion with a net income margin of 14.89%, though margins have compressed from prior years. Recent news includes the acquisition of Masimo and a $172.5 million legal settlement finalized in April 2026.
The outlook remains positive with a consensus price target of $211.33, implying ~5.6% upside, supported by 69% buy ratings. Key risks include margin pressure, integration challenges from acquisitions, and macroeconomic sensitivity. The stock offers a dividend yield from its $0.40 quarterly payout, with solid cash flow generation offsetting debt levels.
NVDL, the GraniteShares 2x Long NVDA Daily ETF, trades at $30.7, down 7.05% in the last 24 hours, reflecting high volatility tied to its leveraged exposure to NVIDIA. Technical indicators show a bullish trend with moving averages supporting upward momentum, while oscillators remain neutral. Recent stock splits on June 25 and 26, 2026, adjusted the share structure, but key financial ratios like P/E and P/S are unavailable, limiting fundamental clarity. The ETF's performance is directly driven by daily NVIDIA price movements, amplified by its 2x leverage.
The outlook for NVDL hinges on NVIDIA's AI-driven growth, offering potential for high returns but with significant risk due to leverage compounding losses during downturns. Investors face volatility risks, as seen in a 12% single-day drop on June 5, 2026, and must monitor NVIDIA's earnings and broader semiconductor trends. Caution is advised given the lack of traditional fundamentals and the ETF's reset mechanism, which can erode value over time in volatile markets.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
About Danaher Corporation
In 1984, Danaher's founders transformed a real estate organization into an industrial-focused manufacturing company. Through a series of mergers, acquisitions, and divestitures, including the Fortive separation in 2016, Danaher now focuses primarily on manufacturing scientific instruments and consumables in three segments: life sciences, diagnostics, and environmental and applied solutions. In late 2019, Danaher separated from its dental business through an initial public offering process, and in early 2020, it acquired GE's Biopharma business, now called Cytiva, which added to its life sciences segment.
Read more on DHR →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 →
