MongoDB (0KKZ.L) • LSE
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Track website visits, page views, unique visitors, and engagement metrics over time to gauge online interest and brand strength.

Monitor Twitter follower growth, engagement rates, and social media presence to understand brand reach and community sentiment.

Analyze TikTok follower trends and viral content performance to measure youth demographic appeal and cultural relevance.

Track Facebook page likes, comments, shares, and post engagement to assess community interaction and brand loyalty.

Monitor Instagram follower growth, engagement rates, and visual content performance across demographics.

Track YouTube channel growth, video views, and subscriber engagement to measure content marketing effectiveness.

Monitor LinkedIn company page followers and professional network growth to assess B2B brand strength and talent attraction.

Track open job positions and hiring trends as a leading indicator of company expansion, contraction, or strategic shifts.

Monitor employee headcount changes on LinkedIn to gauge organizational growth, restructuring, or cost-cutting measures.

Analyze sentiment scores from Reddit discussions to understand retail investor mood and potential price momentum.

Track daily news mentions across major publications to measure media attention, PR effectiveness, and market awareness.

View key financial metrics including Revenue, Net Income, EPS, Free Cash Flow, EBITDA, and Total Assets. Access 2-year quarterly charts for Revenue & Income and Free Cash Flow trends.

Analyze technical indicators including 50-day Simple Moving Average (SMA) with price overlay and Relative Strength Index (RSI) charts.
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MongoDB remains unprofitable, as reflected in its negative EPS of -4.84 and a negative PE ratio of -45.31. This indicates that, despite likely strong topline growth (common for MongoDB historically), the company is still in an investment-heavy phase with no GAAP profitability. In the current market environment, persistent losses and a rich valuation multiple tend to pressure the stock, especially when growth expectations get reset.
The stock is trading at $219.28, down 16.6% over the last month, and far below its 200-day moving average of $388.48, indicating a strong downtrend. An RSI of 39.17 shows the stock is weak but not yet deeply oversold, suggesting selling pressure remains but capitulation may not have fully played out. Overall, the technical setup points to a bearish trend with only tentative signs of potential stabilization.
Alternative data for MongoDB is broadly stable to modestly positive, with strong web traffic and healthy app download volumes suggesting ongoing user and developer engagement. Job openings are slightly up month over month, indicating continued investment in growth rather than contraction. Social media followership is largely flat to slightly rising across most platforms, hinting at a stable brand presence but not a powerful new growth inflection.
Overall, the setup for MongoDB’s stock currently leans bearish: the share price is in a pronounced downtrend, trading far below its 200-day moving average, and the company remains unprofitable with a negative EPS and PE. While alternative data such as web traffic, app downloads, and hiring trends appear stable and supportive of the long-term business story, they have not translated into near-term earnings strength or technical support. Until profitability visibility improves or the technical picture stabilizes, the risk-reward profile skews cautious.
Our AI Score rates companies on a scale from 0 to 10, based on alternative data points such as web traffic, app downloads, and job postings — combined with financial health indicators and technical signals.
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