SP500-EARNINGS-YIELD — Daily CSV Download (S&P 500 Earnings Yield)

The earnings yield — the inverse of the P/E ratio — expresses what percentage of the index price is backed by earnings. It makes equity valuations directly comparable to bond yields. When the earnings yield falls below the 10-year Treasury yield, stocks offer less income per dollar of price than government bonds — a condition known as a negative equity risk premium.

Dataset: S&P 500 Earnings Yield (1871–2026) · Updated 2026-05-01

Latest Value
3.82%
May 1, 2026
Historical Percentile
6.6th
Historically low
Historical Average
7.20%
1,865 observations
Historical Range
HIGH
18.82%
Dec 1, 1917
LOW
0.81%
May 1, 2009

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Macro Takeaway

This indicator is a key component of the macro-financial monitoring framework. Its current level relative to its historical distribution — captured in the percentile and z-score above — provides immediate context for whether conditions are historically normal, stretched, or compressed.

Cross-referencing with the equity risk premium and the 10-year Treasury yield helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorS&P 500 Earnings Yield (1871–2026)
GeographyUnited States
FrequencyMonthly
Period1871–2026
Variablesdate, earnings_yield
FormatCSV, Excel (XLSX)
SourcesRobert Shiller, Yale University (ie_data.xls) — Open academic data
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
earnings_yieldFloatEarnings yield (E/P × 100, in %)

Column names match the CSV headers exactly.


Download the Complete Dataset

The full dataset is available in CSV and Excel formats.

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Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/sp500-earnings-yield.csv

This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.


Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/sp500-earnings-yield.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(df.head())
print(df.describe())

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/sp500-earnings-yield.csv"
df <- read_csv(url)

head(df)
summary(df)

Both examples load the dataset directly from the URL — no download or API key required.


Methodology

Trailing 12-month earnings divided by S&P 500 price, expressed as a percentage. Source: Shiller dataset.

This dataset is updated automatically via the Eco3min data pipeline.


Historical Regimes

Historical regime analysis for this dataset will be added in a future update. The key stats block above provides immediate context for the current reading relative to the full historical distribution.


Related Macroeconomic Datasets


Macroeconomic Dataset Hub

This dataset is part of the Eco3min macro-financial data repository.

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Sources

  • Robert Shiller, Yale University (ie_data.xls) — Open academic data

Dataset Reference

Last updated — 13 May 2026

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