Compare ProShares Ultra QQQ ETF (QLD) vs Thomson Reuters Corp (TRI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
ProShares Ultra QQQ ETF vs Thomson Reuters Corp — how do they compare? ProShares Ultra QQQ ETF trades at $90.14, while Thomson Reuters Corp trades at $97 (market cap $42.75B). The key difference: Thomson Reuters Corp pays a 2.65% dividend while ProShares Ultra QQQ ETF pays none, and ProShares Ultra QQQ ETF is trading nearer its 52-week high, Thomson Reuters Corp nearer its low. Which is the better fit depends on your goals.
| QLD | TRI | |
|---|---|---|
Sector | Leveraged / Inverse | Industrials |
52-Week High | $100.53 | $173.48 |
52-Week Low | $57.16 | $76.55 |
Market Cap | — | $42.75B |
Enterprise Value | — | $45.37B |
Dividend Yield | — | 2.65% |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
QLD (ProShares Ultra QQQ ETF) trades at $90.53, down 0.17% with a bullish technical signal from moving averages. The ETF has delivered over 10,000% total return since inception, demonstrating powerful compounding. Recent institutional buying includes 180 Wealth Advisors increasing their position by 29.4% in Q2 2026. Technical indicators show strong moving average support but neutral oscillators, with key support at $88-90 and resistance at $91-93 levels.
As a daily leveraged ETF tracking the Nasdaq-100, QLD offers amplified exposure to large-cap tech but carries inherent volatility risks. The current neutral RSI and ADX suggest consolidation near support levels. Institutional accumulation and strong historical performance support long-term growth potential, though leveraged structure requires careful risk management during market turbulence.
Thomson Reuters (TRI) trades at $98.81, down 6.5% in 24 hours, with a bearish technical signal and support near $97. The company reported Q2 2026 EPS of $0.99, beating estimates, and raised full-year revenue guidance. Revenue grew 9% organically, with strong performance in Legal, Corporates, and Tax segments. Net income margin is 21.22%, and the P/E ratio is 26.03. Recent news highlights AI expansion with the launch of the proprietary Thomson-1 LLM and a cybersecurity incident affecting its case management system.
Outlook is mixed: robust recurring revenue and AI adoption support growth, but the stock faces near-term pressure from the price drop and cybersecurity risks. Analysts maintain a buy consensus with a $113 price target, implying 14% upside. Key risks include execution on AI initiatives, competitive pressures, and potential fallout from the security breach.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
About ProShares Ultra QQQ ETF
QLD is a leveraged ETF that seeks daily investment results corresponding to 200% of the daily performance of the NASDAQ-100 Index. It achieves 2x leverage by investing in financial instruments such as swaps and is designed as a tactical trading tool for investors with a bullish (long) view on the NASDAQ-100. 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.
Read more on QLD →About Thomson Reuters Corp
Thomson Reuters is the result of the $17.6 billion megamerger of Canada's Thomson and the United Kingdom's Reuters Group in 2008 and the 2018 carve-out of its finance and risk business, Refinitiv, in which it holds a 45% stake. In 2019, the company agreed to exchange its 45% stake in Refinitiv for a 15% stake in LSE, which closed in early 2021. Since the divestiture, the company is more concentrated on selling its flagship legal data and software, Westlaw, and its tax accounting software, Onesource. Reuters sees roughly 80% of revenue and 70% of expenses attributed to the United States, while the remainder (largely through the global print and Reuters News segments) is distributed across Latin America, Europe, the Middle East, Africa, and Asia-Pacific.
Read more on TRI →
