MD
MongoDB Inc.
MDB · Database Software
Company brief
MD
MDBDatabase Software$23.5B

MongoDB Inc.

Leading modern database platform for building applications

Moat score
8.5/100
13F status
Tracking pending
Main Metrics

Beginner valuation check

Price
$317
Next earnings
Data pending

Data pending from FMP or Finnhub.

1Y Performance
+64%

Positive price performance shows recent market sentiment, not a full investment thesis.

Forward P/E
43.1x

Forward P/E around 43.1x means investors pay about $43.1 for each expected $1 of future profit per share, usually the next 12 months or next fiscal year. It is a forecast, not a fact.

P/E
N/A

Trailing P/E is unavailable, often because earnings are negative or provider data is missing.

EPS
$-0.88
Market Cap
$25.1B
Forward P/E is the cleanest beginner valuation anchor here; compare it with growth and recent performance.

Source: market data index. As of May 21, 2026. P/E can be unavailable or misleading when earnings are negative.

Scenario Framework

Bull / Neutral / Bear

Neutral Case

MongoDB keeps turning Atlas into a durable operating platform, but the share price continues to be driven heavily by whether the current forward P/E is justified by growth.

Watch signal

Forward P/E around 43.1x remains in line with growth and sentiment.

What you own

MongoDB Inc. is exposure to database software operating model with high switching costs and 122% net revenue retention.

Base thesis

Document database creates deep application coupling - switching requires complete application rewrite

Main risk

The main question is whether the company can keep customer value compounding without margin pressure eroding the moat.

How to inspect it

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Simulator coverage pending

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Investor Snapshot
8.5Moat Score
Net Revenue Retention122%
Retention RiskLow
AI Disruption RiskMedium
Switching CostsHigh
13F Ownership
Tracking pending

No SEC-backed 13F rows are matched for this ticker yet. We do not fabricate ownership rows.

Investment Thesis
  • Document database creates deep application coupling - switching requires complete application rewrite
  • Atlas managed service reduces operational overhead, increasing switching costs beyond just database layer
  • MongoDB Query Language (MQL) and aggregation pipelines represent years of developer learning investment
  • Replica set and sharding configurations become mission-critical infrastructure that's expensive to replicate
  • AI workloads actually increase MongoDB usage through vector search and real-time model serving requirements
  • Developer productivity gains compound over time as teams build MongoDB-specific expertise and tooling