Characteristics of Commodity and Cyclical companies and their Value Drivers.

Characteristics of commodity and cyclical companies

            While commodity companies can range the spectrum from food grains to precious metals and cyclical firms can be in diverse business, they do share some common factors that can affect both how we view them and the values we assign to them.

1. The Economic/Commodity price cycle: Cyclical companies are at the mercy of the economic cycle. While it is true that good management and the right strategic and business choices can make some cyclical firms less exposed to movements in the economy, the odds are high that all cyclical companies will see revenues decrease in the face of a significant economic downturn. Unlike firms in many other businesses, commodity companies are, for the most part, price takers. In other words, even the largest oil companies have to sell their output at the prevailing market price. Not surprisingly, the revenues of commodity companies will be heavily impacted by the commodity price. In fact, as commodity companies mature and output levels off, almost all of the variance in revenues can be traced to where we are in the commodity price cycle. When commodity prices are on the upswing, all companies that produce that commodity benefit, whereas during a downturn, even the best companies in the business will see the effects on operations.
2. Volatile earnings and cash flows: The volatility in revenues at cyclical and commodity companies will be magnified at the operating income level because these companies tend to have high operating leverage (high fixed costs). Thus, commodity companies may have to keep mines (mining), reserves (oil) and fields (agricultural) operating even during low points in price cycles, because the costs of shutting down and reopening operations can be prohibitive.
3. Volatility in earnings flows into volatility in equity values and debt ratios: While this does not have to apply for all cyclical and commodity companies, the large infrastructure investments that are needed to get these firms started has led many of them to be significant users of debt financing. Thus, the volatility in operating income that we referenced earlier, manifests itself in even greater swing in net income.
4. Even the healthiest firms can be put at risk if macro move is very negative: Building on the theme that cyclical and commodity companies are exposed to cyclical risk over which they have little control and that this risk can be magnified as we move down the income statement, resulting in high volatility in net income, even for the healthiest and most mature firms in the sector, it is easy to see why we have to be more concerned about distress and survival with cyclical and commodity firms than with most others. An extended economic downturn or a lengthy phase of low commodity prices can put most of these companies at risk.
5. Finite resources: With commodity companies, there is one final shared characteristic. There is a finite quantity of natural resources on the planet; if oil prices increase, we can explore for more oil but we cannot create oil. When valuing commodity companies, this will not only play a role in what our forecasts of future commodity prices will be but may also operate as a constraint on our normal practice of assuming perpetual growth (in our terminal value computations).

In summary, then, when valuing commodity and cyclical companies, we have to grapple with the consequences of economic and commodity price cycles and how shifts in these cycles will affect revenues and earnings. We also have to come up with ways of dealing with the possibility of distress, induced not by bad management decisions or firm specific choices, but by macro economic forces.

Commodity and Cyclical companies: Value Drivers

Normalized Earnings

If we accept the proposition that normalized earnings and cash flows have a subjective component to them, we can begin to lay out procedures for estimating them for individual companies. With cyclical companies, there are usually three standard techniques that are employed for normalizing earnings and cash flows:

1.     Absolute average over time: The most common approach used to normalize numbers is to average them over time, though over what period remains in dispute. At least in theory, the averaging should occur over a period long enough to cover an entire cycle. In chapter 8, we noted that economic cycles, even in mature economies like the United States, can range from short periods (2-3 years) to very long ones (more than 10 years). The advantage of the approach is its simplicity. The disadvantage is that the use of absolute numbers over time can lead to normalized values being misestimated for any firm that changed its size over the normalization period.  In other words, using the average earnings over the last 5 years as the normalized earnings for a firm that doubled its revenues over that period will understate the true earnings.

2.     Relative average over time: A simple solution to the scaling problem is to compute averages for a scaled version of the variable over time. In effect, we can average profit margins over time, instead of net profits, and apply the average profit margin to revenues in the most recent period to estimate normalized earnings. We can employ the same tactics with capital expenditures and working capital, by looking at ratios of revenue or book capital over time, rather than the absolute values.

3.     Sector averages: In the first two approaches to normalization, we are dependent upon the company having a long history. For cyclical firms with limited history or a history of operating changes, it may make more sense to look at sector averages to normalize. Thus, we will compute operating margins for all steel companies across the cycle and use the average margin to estimate operating income for an individual steel company. The biggest advantage of the approach is that sector margins tend to be less volatile than individual company margins, but this approach will also fail to incorporate the characteristics (operating efficiencies or inefficiencies) that may lead a firm to be different from the rest of the sector.

Normalized commodity prices

            What is a normalized price for oil? Or gold? There are two ways of answering this question.

1.     One is to look at history. Commodities have a long trading history and we can use the historical price data to come up with an average, which we can then adjust for inflation. Implicitly, we are assuming that the average inflation-adjusted price over a long period of history is the best estimate of the normalized price.

2.     The other approach is more complicated. Since the price of a commodity is a function of demand and supply for that commodity, we can assess (or at least try to assess the determinants of that demand and supply) and try to come up with an intrinsic value for the commodity.

Once we have normalized the price of the commodity, we can then assess what the revenues, earnings and cashflows would have been for the company being valued at that normalized price. With revenues and earnings, this may just require multiplying the number of units sold at the normalized price and making reasonable assumptions about costs. With reinvestment and cost of financing, it will require some subjective judgments on how much (if any) the reinvestment and cost of funding numbers would have changed at the normalized price.

            Using a normalized commodity price to value a commodity company does expose us to the critique that the valuations we obtain will reflect our commodity price views as much as they do our views on the company. For instance, assume that the current oil price is $45 and that we use a normalized oil price of $100 to value an oil company. We are likely to find the company to be undervalued, simply because of our view about the normalized oil price. If we want to remove our views of commodity prices from valuations of commodity companies, the safest way to do this is to use market-based prices for the commodity in our forecasts. Since most commodities have forward and futures markets, we can use the prices for these markets to estimate cash flows in the next few years. For an oil company, then, we will use today's oil prices to estimate cash flows for the current year and the expected oil prices (from the forward and futures markets) to estimate expected cash flows in future periods. The advantage of this approach is that it comes with a built-in mechanism for hedging against commodity price risk. An investor who believes that a company is under valued but is shaky on what will happen to commodity prices in the future can buy stock in the company and sell oil price futures to protect herself against adverse price movements.

Little Book of Valuation

Aswath Damodaran