Hims and Hers Health Inc vs Mongodb Inc — how do they compare? Hims and Hers Health Inc trades at $32.79 (market cap $7.57B), while Mongodb Inc trades at $323.5 (market cap $26.01B). The key difference: Mongodb Inc is far larger — about 3.4× Hims and Hers Health Inc's market cap, and Mongodb Inc is trading nearer its 52-week high, Hims and Hers Health Inc nearer its low. Which is the better fit depends on your goals.
| HIMS | MDB | |
|---|---|---|
Market Cap | $7.57B | $26.01B |
Sector | Health | Technology |
52-Week High | $66.18 | $440.25 |
52-Week Low | $14.52 | $201.08 |
Enterprise Value | $7.95B | $23.61B |
Signals from Pluang's Aura AI — not financial advice
Hims & Hers Health trades at $32.70, down 0.43% on the day, with a bearish technical signal despite bullish moving averages. The company reported $2.35 billion in 2025 revenue but swung to a projected net loss for 2026, with mixed quarterly earnings results. Recent news highlights executive changes and anticipation for Q2 2026 results on August 10, 2026, with analyst sentiment leaning toward a Buy consensus.
The outlook is cautious due to profitability concerns and high valuation multiples, but growth opportunities in weight-loss and telehealth services offer potential. Key risks include execution challenges and regulatory scrutiny. The stock presents a speculative growth play with a consensus price target of $33.57, slightly above the current price.
No Aura AI signal available yet.
Trailing returns across standard periods
Hims & Hers is a multi-specialty telehealth platform that provides personalized health and wellness products. It offers access to medical providers and treatments for hair loss, sexual health, and skincare.
Read more on HIMS →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 →