Compare Ecolab Inc. (ECL) vs Veritone Inc (VERI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Ecolab Inc. vs Veritone Inc — how do they compare? Ecolab Inc. trades at $281.36 (market cap $77.96B), while Veritone Inc trades at $0.61 (market cap $70.27M). The key difference: Ecolab Inc. is far larger — about 1109.4× Veritone Inc's market cap, and Ecolab Inc. pays a 1.05% dividend while Veritone Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Ecolab Inc. for 90 Days and Veritone Inc for 12 Days on average.
| ECL | VERI | |
|---|---|---|
Market Cap | $77.96B | $70.27M |
Volume | 1,145,536 | 9,630,093 |
Sector | Basic Materials | Technology |
52-Week High | $308.35 | $8.39 |
52-Week Low | $245.73 | $0.59 |
Typical Hold Time | 90 Days | 12 Days |
Enterprise Value | $86.74B | $105.66M |
Dividend Yield | 1.05% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Ecolab (ECL) trades at $281.69, up 0.31% on the day, with a bullish technical signal from moving averages and a consensus analyst price target of $326.38. The company reported revenue of $16.08B in 2025 with a net income margin of 12.57%, and recent earnings have mostly met or exceeded expectations. Strong institutional buying and insider purchases, alongside positive news coverage highlighting its dividend growth and essential business model, support a constructive outlook.
The stock presents a favorable risk-reward profile given its steady revenue growth, high profitability, and analyst optimism, though elevated valuation ratios and increased debt from the CoolIT acquisition pose risks. The upcoming Q3 2026 earnings report on October 27, 2026, will be a key catalyst for near-term price direction.
Veritone (VERI) trades at $0.6913, down 7.38% over 24 hours, reflecting persistent bearish technical momentum. The company reported a net loss of $111.73 million in 2025, with a negative net income margin of -117.54%, though it maintains a gross profit margin of 66.2%. Recent developments include a $15 million equity offering announced October 2026 and new partnerships, such as with ATP Media, to drive future revenue streams. Cash flow remains challenging, with negative operating cash flow offset by financing activities.
The investment outlook is highly speculative. Analyst consensus suggests significant upside with a $3.75 price target, but substantial execution risks exist. High cash burn, ongoing losses, and a securities class action investigation pose threats to shareholder value. The stock's deep value proposition hinges on successful AI solution adoption and cost management improvements.
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
No sentiment data available yet.
About Ecolab Inc.
Ecolab produces and markets cleaning and sanitation products for the hospitality, healthcare, and industrial markets. The firm is the global market share leader in this category with a wide array of products and services, including dish and laundry washing systems, pest control, and infection control products. The company has a strong hold on the U.S. market and is looking to increase its profitability abroad. Additionally, Ecolab serves customers in water, manufacturing, and life sciences end markets, selling customized solutions.
Read more on ECL →About Veritone Inc
Veritone is a leading provider of enterprise AI software and solutions, centered on its proprietary AI operating system, aiWARE™. The platform orchestrates a vast ecosystem of machine learning models to transform unstructured data—such as audio, video, and text—into actionable intelligence. Serving the media, entertainment, and public sectors, Veritone is a critical infrastructure partner for organizations looking to monetize data archives and operationalize AI at scale.
Read more on VERI →
