Hewlett Packard Enterprise Co vs Mongodb Inc — how do they compare? Hewlett Packard Enterprise Co trades at $55.85 (market cap $72.01B), while Mongodb Inc trades at $432.3 (market cap $35.32B). The key difference: Hewlett Packard Enterprise Co is far larger — about 2× Mongodb Inc's market cap, and Hewlett Packard Enterprise Co pays a 1.05% dividend while Mongodb Inc pays none. Which is the better fit depends on your goals.
| HPE | MDB | |
|---|---|---|
Market Cap | $72.01B | $35.32B |
Sector | Technology | Technology |
52-Week High | $56.14 | $440.25 |
52-Week Low | $20.01 | $204.37 |
Enterprise Value | $87.96B | $32.93B |
Dividend Yield | 1.05% | — |
Signals from Pluang's Aura AI — not financial advice
HPE stock trades at $54.67, up 2.72% recently, with a bullish technical signal from moving averages but overbought RSI readings. The company has beaten earnings estimates in recent quarters, with Q2 2026 EPS expected at $0.925. Revenue grew to $34.30B in 2025, though net income fell sharply to $57M due to high investing cash outflows. Analysts maintain a consensus buy rating with a $69.81 price target, citing AI infrastructure demand.
The outlook is positive given AI-driven upgrades and institutional buying, but risks include volatile cash flows, elevated debt, and margin pressure. Investors should weigh strong analyst sentiment against execution risks in a competitive market.
No Aura AI signal available yet.
Trailing returns across standard periods
Latest headlines on both assets
Hewlett Packard Enterprise is an information technology vendor that provides hardware and software to enterprises. Its primary product lines are compute servers, storage arrays, and networking equipment.
Read more on HPE →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 →