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Stock Comparison · Valuation-led comparison

HubSpot vs MongoDB: Which Stock Looks Stronger in 2026?

MongoDB holds the cleaner structural position, with valuation as the main driver and growth adding further support. HubSpot still leads on growth and profitability, which keeps the comparison from looking entirely one-sided. Both sides have seen trend damage — neither carries a clear market edge right now. With both trends damaged, the structural comparison carries most of the weight here.

The comparison is based on similar long-term financial trajectories, not sector labels.

Updated 2026-04-05

Most of the separation is still concentrated in valuation. The overall score gap is 8 points in favour of MongoDB, Inc..

Trajectory Similarity
0.71
Similar
Peer-set rank: #10
within HubSpot, Inc.'s functional peer set

This pair is matched through long-term financial trajectory similarity within the selected peer universe.

This level of similarity signals a strong structural match, even though some dimensions still separate the two companies.

The strongest overlap appears in capital structure and revenue growth trajectory.

Similarity drivers
capital structurerevenue growth trajectory
How to read the score
0.85–1.00 · Very similar0.70–0.84 · Similar0.55–0.69 · Moderately similarbelow 0.55 · Loose match
Peer-Relative Score
HUBS
HubSpot, Inc.
29
Peer-Score
Signal qualityHigh
vs
MDB
MongoDB, Inc.
37
Peer-Score
Signal qualityHigh

Scores reflect position relative to comparable companies with similar long-term financial trajectories.

Pricing shapes this comparison more than a broad operating gap.

Dimension spread: HUBS vs MDB Profitability 20 9 Stability 12 28 Valuation 9 58 Growth 88 55 HUBS MDB
Gap Ranking
#1 Valuation +49
#2 Growth +33
#3 Stability +16
#4 Profitability +11
Price Setup

Left means cheaper relative valuation. Higher means stronger structure.

Price setup map for HUBS and MDB Stronger + cheaper Stronger + richer Weaker + cheaper Weaker + richer HUBSMDB Relative valuation Structural strength

The setup splits cleanly: structure favours HubSpot, Inc., while the price setup favours MongoDB, Inc..

Valuation position uses peer-relative PE percentile (idx_pct_pe) and Forward P/E where available.

Relative Position vs Comparable Companies
Valuation
MongoDB, Inc. sits in the stronger part of the group on valuation, while HubSpot, Inc. is closer to mid-pack.
Growth
Both profiles are strong on growth, but HubSpot, Inc. leads clearly.
Valuation — Dominant Gap
HUBS
9
MDB
58
Gap+49in favour of MDB

The peer-relative valuation gap is very wide, with the stronger side also looking meaningfully cheaper.

What keeps the gap from being one-sided

Earnings growth also leans the other way, which keeps the score lead from reading as a full growth sweep.

What this means for the comparison

The valuation lead is clear, but pricing and growth still pull in the other direction — the result holds, but not without friction.

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Break down the HUBS vs MDB comparison across all dimensions with the full interactive tool.

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Other comparisons with conflicting dimension signals

Explore how HUBS and MDB 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.

How AssetNext Peer Scores Work

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.

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.