Technology
Apple’s Colossal Market Cap as it Hits $3 Trillion
Apple’s Colossal Market Cap in Context
In January of 2019, Apple’s market capitalization stood at $700 billion.
While this was perceived as a colossal figure at the time, when we fast forward to today, that valuation seems a lot more modest. Since then, Apple has surged to touch a $3 trillion valuation on January 3rd, 2022.
To gauge just how monstrous of a figure this is, consider that Apple is no longer comparable to just companies, but to countries and even entire stock indexes. This animation from James Eagle ranks the growth in Apple’s market cap alongside top indexes from the UK, France, and Germany.
Let’s take a closer look.
Apple Takes On Europe
The three indexes Apple is compared to are heavyweights in their own right.
The FTSE 100 consists of giants like HSBC and vaccine producer AstraZeneca, while the CAC 40 Index is home to LVMH, which made Bernard Arnault the richest man in the world for a period of time last year.
Nonetheless, Apple’s market cap exceeds that of the 100 companies in the FTSE, as well as the 40 in each of the CAC and DAX indexes.
Stock/Index | Market Cap ($T) | Country of Origin |
---|---|---|
Apple | $3.00T | 🇺🇸 |
FTSE 100 | $2.90T | 🇬🇧 |
CAC 40 Index | $2.76T | 🇫🇷 |
DAX 40 (Dax 30) Index* | $2.50T | 🇩🇪 |
*Germany’s flagship DAX Index expanded from 30 to 40 constituents in September 2021.
It’s important to note, that while Apple’s growth is stellar, European companies have simultaneously seen a decline in their share of the overall global stock market, which helps make these comparisons even more eye-catching.
For example, before 2005, publicly-traded European companies represented almost 30% of global stock market capitalization, but those figures have been cut in half to just 15% today.
Here are some other approaches to measure Apple’s dominance.
Apple’s Revenue Per Minute vs Other Tech Giants
Stepping away from market capitalization, another unique way to measure Apple’s success is in how much sales they generate on a per minute basis. In doing so, we see that they generate a massive $848,090 per minute.
Here’s how Apple revenue per minute compares to other Big Tech giants:
Company | Revenue Per Minute |
---|---|
Amazon | $955,517 |
Apple | $848,090 |
Alphabet (Google) | $433,014 |
Microsoft | $327,823 |
$213,628 | |
Tesla | $81,766 |
Netflix | $50,566 |
Furthermore, Apple’s profits aren’t too shabby either: their $20.5 billion in net income last quarter equates to $156,000 in profits per minute.
How Apple Compares To Countries
Lastly, we can compare Apple’s market cap to the GDP of countries.
Country (excluding Apple) | Total Value ($T) |
---|---|
Apple | $3.0T |
Italy | $2.0T |
Brazil | $1.8T |
Canada | $1.7T |
Russia | $1.7T |
South Korea | $1.6T |
Australia | $1.4T |
Spain | $1.4T |
Mexico | $1.3T |
Indonesia | $1.1T |
What might be most impressive here is that Apple’s market cap eclipses the GDP of major developed economies, such as Canada and Australia. That means the company is more valuable than the entire economic production of these countries in a calendar year.
That’s some serious scale.

This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.
Technology
Ranked: The Smartest AI Models, by IQ
Some of the smartest AI models are already surpassing human intelligence, with one model falling in the “genius” category of IQ.

Ranked: The Smartest AI Models, by IQ
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Mirror mirror on the wall, who’s the smartest AI of them all?
Artificial intelligence is designed to be intelligent. But how do today’s leading AI models stack up in human IQ terms, and which ones are the smartest?
This infographic ranks the smartest AI models based on their performance on the Mensa Norway IQ test, with data compiled by Tracking AI. The Mensa test is a widely recognized and highly difficult IQ exam used to evaluate human intelligence.
For context, the average human IQ score ranges from 90 to 110, while a score above 130 is typically considered genius-level.
AI with Genius-Level IQ
Topping the chart is OpenAI’s text-only o3 model, scoring a 135 on the Mensa IQ test, which puts it in the “genius” category. As a part of ChatGPT, it’s also among the world’s most popular AI tools.
Model Name | Mensa Norway IQ Test Score |
---|---|
OpenAI o3 | 135 |
Claude-4 Sonnet | 127 |
Gemini 2.0 Flash Thinking Exp. | 126 |
Gemini 2.5 Pro Exp. | 124 |
OpenAI o4 mini | 122 |
Claude-4 Opus | 120 |
Grok-3 Think | 112 |
DeepSeek R1 | 106 |
Llama 4 Maverick | 105 |
OpenAI o1 Pro | 102 |
DeepSeek V3 | 100 |
GPT4.5 Preview | 99 |
Grok-3 | 97 |
Gemini 2.5 Pro Exp. (Vision) | 96 |
GPT-4o | 93 |
OpenAI o4 mini high | 92 |
Claude-3.7 (Vision) | 91 |
Bing Copilot | 86 |
Mistral | 85 |
OpenAI o1 Pro (Vision) | 83 |
OpenAI o3 (Vision) | 72 |
Llama-3.2 (Vision) | 70 |
GPT-4o (Vision) | 63 |
Grok-3 Think (Vision) | 60 |
Anthropic’s Claude-4 Sonnet and Google’s Gemini 2.0 Flash Thinking follow closely with IQ scores of 127 and 126, respectively. Furthermore, new iterations like the Gemini 2.5 Pro and OpenAI o4 mini both scored over 120, above the average human IQ range.
Overall, these high scores prove that leading AI models are now operating at high levels of intelligence, with some even surpassing the smartest human minds.
However, what’s more surprising is that all of the top 10 smartest AI models are text-only models that cannot read or process images.
The IQ Contrast Between Text and Vision AI Models
Based on IQ scores, it seems like reasoning through words is still a much stronger suit for AI than interpreting and solving visual images and puzzles.
The bottom five AI models by IQ scores are all multimodal models with the ability to read and process images. In particular, OpenAI’s GPT-4o (Vision) and xAI’s Grok-3 Think (Vision) landed far below the human average, scoring 63 and 60 on the test, respectively.
Still, the results are telling: AI isn’t just mirroring human intelligence, it’s even outscoring us in certain areas of cognition and reasoning.
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