Zscaler holds the cleaner structural position, with profitability as the main driver and growth adding further support. MongoDB still has the edge on growth, which keeps the comparison from looking entirely one-sided. In the market, MongoDB carries the stronger setup — intact trend against Zscaler's broken trend. That leaves a split case: the structural lead stays with Zscaler, but the market is not currently confirming it.
The comparison is based on similar long-term financial trajectories, not sector labels. Both peer scores are relative to the Russell 1000 universe, making them directly comparable.
The clearest score difference appears in profitability. Zscaler, Inc. leads by 10 points on the overall comparison score.
Both operate in: Software - Infrastructure
This comparison is based on industry proximity, not on functional trajectory similarity. MDB and ZS share the same industry classification.
For a similarity-based comparison, see how MongoDB and Zscaler each position within their functional peer groups in AssetNext.
Scores reflect position relative to comparable companies with similar long-term financial trajectories.
Score differences across key dimensions.
Left means cheaper relative valuation. Higher means stronger structure.
Zscaler, Inc. and MongoDB, Inc. look relatively close on structure, but the price setup still leans toward Zscaler, Inc..
Valuation position uses Forward P/E where available.
Where MDB and ZS each sit in their own 5-year price and valuation history.
Describes historical entry positioning only. Descriptive — not investment advice.
Capital efficiency adds support, with a 8.9-point ROIC advantage.
Growth still leans toward MongoDB, Inc., so the lead is real without reading as one-way.
Profitability is the clearest driver of the lead, with growth adding further support — though growth still provides a real counterweight.
Break down the MDB vs ZS comparison across all dimensions with the full interactive tool.
Explore how MDB and ZS each compare against other companies in their peer groups.
Rule-based, descriptive analysis only. Derived from peer percentile dimensions. Not investment advice. Peer groups are determined algorithmically based on structural similarity — not by sector classification alone.
AssetNext scores reflect each company's structural position within its functional peer group — not a ranking against all stocks simultaneously. Peers are identified by similarity across eight financial dimensions, including revenue growth trajectory, margin structure, capital intensity, and earnings stability. A score of 75 means the company ranks in the top quartile within its own peer group, not the entire market.
Four dimension scores drive the overall peer score: Growth (revenue trajectory and expansion dynamics), Quality (margin structure and capital efficiency), Valuation (peer-relative pricing on standard multiples), and Stability (earnings consistency and financial predictability). Each dimension is scored 0–100 relative to the peer group, then combined into an overall peer score using equal weighting.
Because scores are peer-relative, the same company can have slightly different scores in different index universes. On comparison pages, both companies are shown within their shared peer universe wherever possible — so the scores are directly comparable. The peer basis is stated on each score card.
Scores are recalculated periodically as underlying financial data is updated. All analysis is descriptive and rule-based — AssetNext describes structural realities and never issues buy, sell or hold recommendations.