Snapshot · Russell 3000 · generated 2026-09-19 21:53 UTC

NOVT — Novanta Inc.

EXPENSIVE (MOS -16.8%) · Quality 71/100

NOVT - Novanta Inc.
Data generated 2026-09-19 21:53 UTC (nightly scan, universe: Russell 3000).
Price: 133.14 USD
Intrinsic value: 113.95 USD
Margin of safety: -16.8%
Implied growth (reverse DCF): +18.1% (model assumes +16.0%)
Valuation: EXPENSIVE
Value Score: 31.1
Quality: 71/100
Moat score: 28 (erosion: none)
EXPENSIVE (MOS -16.8%) - Quality 71/100
Source: StocksDeepDive - https://stocksdeepdive.com/s/NOVT
Factual information and general commentary only. StocksDeepDive publishes data, model outputs and described calculations from stated inputs. Nothing on this site takes your personal objectives, financial situation or needs into account, and nothing here is financial product advice or a recommendation to buy, hold or sell any security. Model outputs depend entirely on their stated inputs and assumptions. Consider seeking advice from a licensed adviser before acting. Data via Yahoo Finance, Google Trends, StockTwits and NewsAPI; figures may be delayed or revised.

Price

133.14

Intrinsic value

113.95

Margin of safety

-16.8%

Implied growth (reverse DCF)

+18.1%

model assumes +16.0%

Value Score

31.1

Quality

Psychology

21.1

Discovery

27.1

price/volume attention only

Moat score

erosion: none

Value Score: bottom 48% of Russell 3000 · Quality: top 14%

Open the interactive Deep Dive for NOVT →

Use this data programmatically

This page's numbers are also available as JSON at /api/v1/deep-dive/NOVT - see the API docs for the full read-only surface, including an MCP server for AI assistants.

Common questions

Is NOVT undervalued?

As of 2026-09-19, NOVT trades at 133.14 against a computed intrinsic value of 113.95 (-16.8% margin of safety) - StocksDeepDive's valuation label for this is EXPENSIVE. This is a described calculation from public data, not a recommendation.

What is Novanta Inc.'s Value Score?

Novanta Inc.'s Value Score is 31.1 as of 2026-09-19 - it combines value, quality, crowd psychology and market attention into one number.