Industrial Production Index (Monthly Change) vs S&P 500 Price-to-Earnings Ratio (Forward)

How These Two Indicators Relate

Both Industrial Production and S&P 500 P/E sit inside the growth category. Together they describe the size and trajectory of U.S. output. Track the relationship between them — for example, real vs nominal GDP isolates the inflation component of headline growth, while productivity vs GDP separates the contributions of more workers from the contributions of more output per worker.

The two indicators are currently moving in opposite directions. Industrial Production has moved higher +1.0% from the prior reading, while S&P 500 P/E has moved lower -1.20. Divergent moves on related indicators usually flag a regime shift in progress — one of the two is leading and the other is lagging.

What Industrial Production Index (Monthly Change) Measures

The Industrial Production Index measures the real output of manufacturing, mining, and electric and gas utilities. It is a coincident indicator that moves with the business cycle and reflects the goods-producing sector of the economy.

Industrial production fell 0.3% in March after strong February gains. Manufacturing, which accounts for about 75% of the index, has been volatile as companies adjust inventory levels. For executives in manufacturing and industrial sectors, the mixed readings suggest uneven demand rather than a clear downturn. The services sector remains the primary driver of U.S. economic growth.

Methodology: The Federal Reserve Board compiles data from various sources including industry surveys, utility output, and Census Bureau manufacturing reports. The index is set to 100 at a base year (currently 2017) and seasonally adjusted. Capacity utilization is calculated by comparing actual production to estimated maximum sustainable output. Source: FRED at the St. Louis Fed (series INDPRO).

What S&P 500 Price-to-Earnings Ratio (Forward) Measures

The forward price-to-earnings ratio measures the S&P 500 index price relative to expected earnings per share over the next 12 months. It is the most widely used valuation metric for the U.S. stock market.

The S&P 500 forward P/E at 20.3x has declined from its recent highs but remains above the 25-year average of approximately 16.5x. Markets are pricing in solid earnings growth but are no longer at 'euphoric' valuations. For executives evaluating M&A, stock compensation, or capital market activity, current valuations suggest a market that is fairly valued to modestly expensive — not cheap, but not at bubble levels either.

Methodology: Forward P/E divides the current index price by the consensus estimate of aggregate earnings per share over the next 12 months. Analysts at major banks and research firms provide earnings estimates for individual S&P 500 companies, which are aggregated by data providers like FactSet, Bloomberg, and S&P Global. Source: S&P Global (series SP500_PE).

How These Comparisons Are Built

Each pairwise comparison page is statically generated from the live indicator dataset — values, trends, and source links are pre-rendered into HTML at build time. When the underlying dataset refreshes (each indicator on its own publication schedule), the comparison page regenerates automatically. ExecBolt does not estimate, model, or interpolate any reading; every value comes from the publishing agency’s primary release. For the full sourcing approach, citation format, and known limitations, see the methodology page.

For plain-language guides to the concepts behind Industrial Production and S&P 500 P/E, see the learn library. For tools that translate macro readings into business outputs (DCF, runway, break-even), see the calculators page. Authoritative external context comes from the Federal Reserve’s FRED database, the U.S. Bureau of Labor Statistics, the U.S. Bureau of Economic Analysis, and the SEC EDGAR system.

Frequently Asked Questions