JPMorgan Ultra Short Income ETF vs Mongodb Inc — how do they compare? JPMorgan Ultra Short Income ETF trades at $50.28 (market cap $42.37B), while Mongodb Inc trades at $372 (market cap $29.24B). The key difference: JPMorgan Ultra Short Income ETF is the larger of the two by market cap, and Mongodb Inc is trading nearer its 52-week high, JPMorgan Ultra Short Income ETF nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold JPMorgan Ultra Short Income ETF for 46 Days and Mongodb Inc for 45 Days on average.
| JPST | MDB | |
|---|---|---|
Market Cap | $42.37B | $29.24B |
Volume | 6,289,709 | 1,304,995 |
Sector | Fixed Income | Technology |
52-Week High | $50.78 | $472.29 |
52-Week Low | $50.22 | $225.95 |
Typical Hold Time | 46 Days | 45 Days |
Enterprise Value | — | $26.86B |
Signals from Pluang's Aura AI — not financial advice
JPST trades at $50.27, up 0.04% with a bearish technical signal from moving averages. The ETF shows neutral oscillators like RSI near 35, while recent news highlights institutional selling and mixed sentiment on its yield competitiveness. Dividend payments of $0.17 are scheduled through October 2026, but key financial ratios are unavailable for fundamental assessment.
Outlook remains cautious due to technical weakness and underperformance concerns cited by analysts. Risks include interest rate sensitivity and expense ratios, but demand for ultra-short income ETFs amid market volatility offers stability. Investors should weigh yield against peer comparisons and fee structures.
MongoDB (MDB) trades at $371.35, up 2.95% today, showing strong momentum despite recent volatility. The stock faces bearish technical signals with resistance at $373, while fundamentals reveal impressive revenue growth from $1.7B to $2.0B in 2025, though net losses persist. Recent investor day highlighted AI product launches and raised long-term targets, but CEO transition creates uncertainty. Analyst consensus remains strongly bullish with $457 price target.
MDB presents a growth-at-a-price scenario with premium valuations (P/E 511) offset by strong revenue momentum and AI positioning. Near-term risks include leadership transition execution and competitive pressures, while the 80% buy rating suggests Wall Street sees 23% upside potential. Investors must weigh expensive multiples against transformative AI opportunities in database market.
Trailing returns across standard periods
JPST is an actively managed ETF that invests in short-term, investment-grade fixed income securities. It aims to provide current income and capital preservation while maintaining high liquidity.
Read more on JPST →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 →