The March Advance Report on February Durable Goods was released this morning by the Census Bureau. Here is the Bureau's summary on new orders:
New orders for manufactured durable goods in February increased $12.4 billion or 5.7 percent to $232.1 billion, the U.S. Census Bureau announced today. This increase, up five of the last six months, followed a 3.8 percent January decrease. Excluding transportation, new orders decreased 0.5 percent. Excluding defense, new orders increased 4.5 percent.
Transportation equipment, up two of the last three months, drove the increase, $13.3 billion or 21.7 percent to $74.4 billion. This was led by nondefense aircraft and parts, which increased $9.0 billion. Download full PDF
The latest new orders number at 5.7 percent was above the Briefing.com consensus of 3.8 percent. Year-over-year new orders are up 7.8 percent.
However, if we exclude both transportation and defense, "core" durable goods were down 2.5 percent. Year-over-year core goods are up only 2.0 percent.
The first chart is an overlay of durable goods new orders and the S&P 500. We see an obvious correlation between the two, especially over the past decade, with the market, not surprisingly, as the more volatile of the two.
An overlay with unemployment (inverted) also shows some correlation. We saw unemployment begin to deteriorate prior to the peak in durable goods orders that closely coincided with the onset of the Great Recession, but the unemployment recovery tended to lag the advance durable goods orders.
Here is an overlay with GDP — another comparison I like to watch closely.
The next chart shows the percent change in orders with and without transportation since the turn of the century.
Now let's exclude defense orders.
And finally, let's look at core durable goods orders, excluding both Transportation and Defense.
In theory the durable goods orders series should be one of the more important indicators of the economy's health. But its susceptibility to major revisions of the previous monthly data suggests caution in taking the data for any particular month too seriously.