Snapshot · TSX Composite · generated 2026-10-12 21:30 UTC

IVN.TO — Ivanhoe Mines Ltd.

EXPENSIVE (MOS -559.1%) · Quality 55/100

IVN.TO - Ivanhoe Mines Ltd.
Data generated 2026-10-12 21:30 UTC (nightly scan, universe: TSX Composite).
Price: 11.6 USD
Intrinsic value: 1.76 USD
Margin of safety: -559.1%
Valuation: EXPENSIVE
Value Score: 11.9
Quality: 55/100
Moat score: 21 (erosion: none)
EXPENSIVE (MOS -559.1%) - Quality 55/100
Source: StocksDeepDive - https://stocksdeepdive.com/s/IVN.TO
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

11.6

Intrinsic value

1.76

Margin of safety

-559.1%

Implied growth (reverse DCF)

a described calculation from stated inputs, not a forecast

Value Score

11.9

Quality

Psychology

13.8

Discovery

14.1

price/volume attention only

Moat score

erosion: none

Value Score: bottom 14% of TSX Composite · Quality: bottom 35%

Open the interactive Deep Dive for IVN.TO →

Use this data programmatically

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

Common questions

Is IVN.TO undervalued?

As of 2026-10-12, IVN.TO trades at 11.6 against a computed intrinsic value of 1.76 (-559.1% margin of safety) - StocksDeepDive's valuation label for this is EXPENSIVE. This is a described calculation from public data, not a recommendation.

What is Ivanhoe Mines Ltd.'s Value Score?

Ivanhoe Mines Ltd.'s Value Score is 11.9 as of 2026-10-12 - it combines value, quality, crowd psychology and market attention into one number.