S&P 493

The S&P 500 is an American stock index that comprises the 500 largest publicly traded companies in the USA. Seven of them — Apple, Microsoft, Nvidia, Alphabet, Amazon, Meta, and Tesla — have been called the “Magnificent Seven” for some years now, because together they account for an unusually large share of the index’s total value. If you subtract these seven companies from the S&P 500, 493 remain. This exact remainder group is called the S&P 493. The term is not an official financial index, but a market-observation term — a tool used to make visible a difference that would otherwise disappear in the average figures.

The Magnificent Seven as a distorting factor

An index like the S&P 500 is calculated using weighting. That means larger companies count more heavily. If Apple’s share price rises sharply, it pulls the whole index along with it — even if the other 499 companies stagnated on average.

Exactly that happened in exaggerated form between 2023 and 2024. The Magnificent Seven rose massively, driven by the boom surrounding artificial intelligence. The S&P 500 therefore showed strong gains — even though the rest of the market was noticeably worse off. The S&P 493 makes this difference visible. It answers the question: How is everyone else actually doing?

This matters for investors and analysts because a seemingly healthy index can mask serious weakness in the broad market. Anyone looking only at the S&P 500 may see a distorted picture of the economic situation.

How the S&P 493 is calculated

The S&P 493 does not exist as an independent, officially maintained index. Instead, analysts determine its performance by mathematically stripping the weighting and return of the Magnificent Seven out of the S&P 500. What remains reflects the development of the remaining 493 companies.

This often reveals a considerable gap. In 2023, the S&P 500 gained around 24 percent overall. The S&P 493 grew by only about 8 percent in the same period. The Magnificent Seven alone achieved double-digit to triple-digit share price gains. The difference between these figures shows how strongly the index has come to depend on a handful of companies.

This dependency is not a new phenomenon, but it has reached a historically unusual scale during the phase of the AI boom. Comparable concentration was last seen during the dot-com bubble around the year 2000 — with a well-known outcome.

Where the term appears

The term S&P 493 appears mainly in financial media and analyst reports, when journalists or investment banks comment on market breadth. “Market breadth” is the technical term for the question of whether a rally is being carried by many companies or is only being pulled upward by a few outliers.

In tech news, the term is often encountered in connection with AI investments. When large language models or AI chips are in focus, market observers ask whether the rest of the economy is benefiting from this development or being left out. The S&P 493 serves as the measuring instrument for this question.

The term is also politically relevant: when stock prices are cited as a sign of economic health, it’s worth asking which part of the market is actually being referred to. The S&P 493 serves as a reminder that a strong index does not automatically mean that all companies — and thus all employees and industries — are doing well.