Deep cyclical industry

Some industries do not just feel the economic cycle. They are the cycle.

When the economy slows, companies stop building new factories. Orders for machinery and steel do not fall a little — they fall off a cliff, because the purchase can simply be postponed.

Then the recovery arrives, and all those postponed orders land at once. Sales do not just recover; they surge.

That pattern of extremes is what makes an industry deep cyclical. The swing runs in both directions, and the upside is as violent as the downside.

Chapter 6.3 places deep cyclical industries at the far end of its 3-bucket classification of industry cyclicality.

The definition. "These industries witness extreme cyclicality in their revenues as they are largely driven by economic cycle and/or commodity cycles." That second driver matters — a deep cyclical industry can be whipped around by the price of what it sells even when the broader economy is steady.

The downturn. "During recessionary conditions, their sales drop significantly as most companies put their capacity expansion plans on hold." The mechanism is postponement. Nobody has to buy a new plant this year.

The recovery. "However, these industries experience massive growth at the first signs of economic recovery as pent-up demand result in higher orders." The orders were deferred, not cancelled, so they arrive together.

The workbook's examples. "Capital goods industry or Steel exhibits such behavior."

On figures. The workbook attaches no number to the classification — no revenue-decline threshold that turns a semi-cyclical into a deep cyclical, and no cycle length. The boundary is described through behaviour, and the contrast with a semi-cyclical industry is the presence or absence of base-level demand, not a percentage.

Illustrative, built on the workbook's own example industry. An Indian steel maker across one full cycle.

The trough year is not the interesting one. The recovery year is: revenue nearly doubles off the low and finishes above the old peak, because the capacity expansions that 2 years of customers postponed all get ordered in the same 12 months.

For an analyst this has a direct consequence. Valuing this company on its trough-year earnings makes it look permanently broken, and valuing it on its recovery-year earnings makes it look permanently brilliant. Neither year is representative, which is why a deep cyclical is normally judged across the whole cycle rather than on 1 year of results.

Chapter 6.3 (Understanding industry cyclicality) sets out all 3 categories in a single page, with capital goods and steel named here. Expect a classification question, and expect the distractors to be the other 2 buckets.

The question worth preparing for is the recovery one, because it is counter-intuitive: the industry with the worst recession is also the one with the sharpest rebound, and the workbook says so in the same sentence pair. Section 6.5 separately distinguishes secular, cyclical and seasonal trends in the economy — related material, different classification, and a common place to lose a mark.

• The recovery is part of the definition. Deep cyclical means extreme in both directions. A question describing "massive growth at the first signs of recovery" is describing a deep cyclical, not a growth industry.
• Deep cyclical versus semi-cyclical: base-level demand is the test. A semi-cyclical industry keeps reasonably healthy sales in a recession; a deep cyclical does not.
• The commodity cycle counts too. The workbook says "economic cycle and/or commodity cycles," so a steel maker can be hit by steel prices alone.
• Capital goods and steel are the workbook's named examples. Consumer durables belongs in the semi-cyclical bucket, and food and healthcare in the defensive one.
• Industry cyclicality (6.3) is not the same as the secular, cyclical and seasonal trends of 6.5 or 5.5. One classifies industries; the other classifies economic trends by how long they last.