Compare Deere & Company (DE) vs Mongodb Inc (MDB) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Deere & Company vs Mongodb Inc — how do they compare? Deere & Company trades at $652.61 (market cap $175.95B), while Mongodb Inc trades at $375.45 (market cap $29.24B). The key difference: Deere & Company is far larger — about 6× Mongodb Inc's market cap, and Deere & Company pays a 0.99% dividend while Mongodb Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Deere & Company for 75 Days and Mongodb Inc for 45 Days on average.
| DE | MDB | |
|---|---|---|
Market Cap | $175.95B | $29.24B |
Volume | 1,387,231 | 1,304,995 |
Sector | Industrials | Technology |
52-Week High | $709.48 | $472.29 |
52-Week Low | $439.11 | $225.95 |
Typical Hold Time | 75 Days | 45 Days |
Enterprise Value | $229.85B | $26.86B |
Dividend Yield | 0.99% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Deere & Company (DE) trades at $656.87, down 3.8% on the day, showing near-term weakness despite strong earnings beats in recent quarters. The stock maintains a bullish analyst consensus with a $731.20 price target, representing 11% upside potential. Recent financial performance shows declining revenue from $60.2B in 2023 to $44.7B in 2025, though the company continues generating robust operating cash flow exceeding $7B annually. Technical indicators suggest bearish momentum with the stock trading below key resistance levels.
Deere presents a mixed investment case with attractive valuation upside but faces cyclical headwinds in agricultural equipment demand. The company's AI initiatives and dividend payments provide stability, while declining profit margins and elevated debt levels warrant caution. Wall Street remains optimistic with 43% buy ratings, though technical weakness suggests potential near-term pressure before fundamental strength prevails.
MongoDB (MDB) trades at $363.03, up 0.64% today, amid a bearish technical signal despite recent earnings beats. The stock faces headwinds with a high P/E of 511.31 and negative net income, though revenue growth remains strong, reaching $2.01B in 2025. Recent news highlights AI product launches and a CEO transition, with investor sentiment mixed following a sharp sell-off.
Outlook: Long-term growth potential exists with raised AI-focused targets, but high valuation and profitability challenges pose risks. Analyst consensus is bullish with an $456.76 price target, yet technical indicators and cash flow volatility warrant caution for near-term volatility.
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
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Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Deere & Company
Deere is the world's leading manufacturer of agricultural equipment, producing some of the most recognizable machines in the heavy machinery industry. The company is divided into four reportable segments: production and precision agriculture, small agriculture and turf, construction and forestry, and John Deere Capital. Its products are available through an extensive dealer network, which includes over 1,900 dealer locations in North America and approximately 3,700 locations globally. John Deere Capital provides retail financing for machinery to its customers, in addition to wholesale financing for dealers, which increases the likelihood of Deere product sales.
Read more on DE →About Mongodb Inc
Founded in 2007, MongoDB is a document-oriented database with nearly 33,000 paying customers and well past 1.5 million free users. MongoDB provides both licenses as well as subscriptions as a service for its NoSQL database. MongoDB's database is compatible with all major programming languages and is capable of being deployed for a variety of use cases.
Read more on MDB →
