Agilysys Inc vs Mongodb Inc — how do they compare? Agilysys Inc trades at $106.06 (market cap $3.00B), while Mongodb Inc trades at $434.65 (market cap $35.32B). The key difference: Mongodb Inc is far larger — about 11.8× Agilysys Inc's market cap, and Mongodb Inc is trading nearer its 52-week high, Agilysys Inc nearer its low. Which is the better fit depends on your goals.
| AGYS | MDB | |
|---|---|---|
Market Cap | $3.00B | $35.32B |
Sector | Technology | Technology |
52-Week High | $141.12 | $440.25 |
52-Week Low | $62.19 | $204.37 |
Enterprise Value | $2.90B | $32.93B |
Signals from Pluang's Aura AI — not financial advice
Agilysys (AGYS) trades at $108.58, up 0.93% with strong bullish momentum supported by recent earnings beats and positive analyst sentiment. The stock shows robust fundamental performance with Q1 2026 EPS of $0.63 beating expectations and record subscription revenue growth. Technical indicators suggest bullish momentum with the current price near pivot point resistance at $108, while moving averages signal continued upward trend potential.
The outlook remains positive with 100% analyst buy ratings and a $118.33 consensus price target representing 9% upside. Key catalysts include continued subscription growth and Marriott deployment progress, though elevated valuation multiples (P/E 70.45) and competitive pressures in hospitality software present risks requiring monitoring of execution consistency.
No Aura AI signal available yet.
Trailing returns across standard periods
Agilysys provides enterprise software and SaaS solutions for the hospitality industry. Its products specialize in point-of-sale, property management, and inventory systems for hotels, resorts, and cruise lines.
Read more on AGYS →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 →