A Common Sense Approach to Analyzing Bank Stocks

Analyzing bank stocks is a little different from analyzing the typical company, however, it is not as difficult as you may think. With a little research and study one can take the mystery out of bank stock analysis and begin to see them as very similar to other stocks.

There are three primary differences in analyzing bank stocks. First, banks have a set of operations that describe what they do in terms that are quite different from those commonly found in Value Line and other typical resources. Consequently, investors can't find the figures they need or even the key words that usually guide their research. Second, bank stocks do not report "sales" figures, therefore one must calculate an equivalent figure. Third, the typical procedures for evaluating management need to be expanded to include two additional measurements for bank stock analysis.

Two further issues have compounded matters. Datafiles used in analyses have been a source of frequent discrepancies, and there appears to be a lack of consensus as to the best formula for determining "sales" figures. After reviewing several sources and drawing upon the best recommended practices, some simple strategies and written materials were presented in the workshop. This article summarizes much of the material so that readers can approach banking stocks with a little more understanding.

Bank Operations

Let's begin by thinking about what banks do. The basic business of banking is buying and selling money. They collect deposits, then lend those dollars to customers. Banks buy money, so interest expense is like the cost of goods sold. Banks sell money, so interest income from loans and investments represents income. For many banks, non-interest income (fee based revenues) has been growing significantly. Banking is undergoing a basic regulatory change and, due to competition outside the banking industry, such as investment services, credit sources, charge cards, etc., non-interest income is becoming increasingly important to banks. This new avenue of growth could be the basis of a bank's increased profitability and equally important, it is a revenue source that is less susceptible to the economic cycle.

Key Banking Terms

Readers will need to familiarize themselves with some key banking terms in order to effectively use reported data for SSG analysis. A glossary of key banking terms has been included for your use.

Revenues are not as complicated as they seem at first. However, there has been considerable discussion and confusion in arriving at a revenue (sales) figure for banks. Figure 2 includes a list of various instructions and data entry sources typically used. Which one do we choose? In making that decision it is important to note that "A" and "B" account for the majority of the income or revenue approximations. Figure "D", and to a lesser extent "C", are refinements or minor extra steps in deriving the best possible revenue number for a bank. The result of using the A + B + C - D formula will be the most accurate figure to represent net "sales". Although the shorter A + B formula results will be less accurate without "C" and/or "D", they can be just as helpful in determining how revenues have been growing over the years. What is lost in failing to subtract "D" is a "net sales" figure.

The Loan Loss Provision (LLP) for a bank's loans is equivalent to the "allowance for returns and adjustments" in goods sold when considering a manufacturing company's total sales. We usually plot "net" sales when we study a manufacturing company -- that is gross sales less any allowance for returned or defective merchandise. This same concept should be applied to banks. More important, by using "D" in the formula, one is forced to examine the trend, including any significant changes in the LLP. If the LLP is growing faster than loans themselves, that should trigger a flag. If the LLP is declining that means problem loans may be declining and the quality or integrity of loans may be improving.

Based on the formula you select, the annual revenue results are then entered into the "Sales" (Revenue) data column of the annual data input screen of the bank you are analyzing. Locating quarterly figures for manually calculating "sales" (revenues) is another common frustration. Those figures can be found in bank quarterly or 10Q reports.

As previously noted, certain problems have been identified with the new S&P datafiles commonly used for SSG analysis. Specifically, the annual and quarterly historical "Sales" (revenue) figures for banks have been incorrectly calculated. This concern has been brought to the attention of S&P CompuStat and the data has been corrected beginning with the third quarter 1994 data files. (They are being shipped this month.) One should make a practice of checking any data source you use with the exception of the annual report. If you find unexplained discrepancies, try to verify or correct those figures. The most important thing to remember in using any of the manual formulas or data files is simply to be consistent. Use the same formula and source of data for all the banks you choose to analyze and compare.

Evaluating Management

Two additional measures are essential in evaluating bank management: % Return On Assets and % Net Interest Margin, both of which are defined in the Glossary. These annual numbers, found on the S&P Stock Reports, can be manually recorded next to % Pre-tax Profit on Sales and % Earned on Invested Capital in Section 2 of the SSG. These figures enable us to compare year-to-year performance and trends in much the same way as % Pre-Tax Profit on Sales figures are compared. An even or upward trend is desirable. Percentages and year-to-year percentage change in these measures will typically be quite small, but represent huge profits (or losses). For % Return on Assets, small returns (1%) represent huge profits because banks are so highly leveraged, (i.e., many dollars of assets supported by each dollar of equity). This is due to the fact that loans are assets. In the case of the % Net Interest Margin, the level may appear to be low (3% - 5%), but even a .01% - .02% difference from year-to-year can mean thousands of dollars in profits.

One additional comparison can assist readers in evaluating the growth and profitability of a bank. Just as you would manually plot sales and earnings per share, simply plot the annual Book Value Per Share figures on the front graph of the SSG next to the Earnings Per Share. The Book Value trend should be parallel or similar to the Earnings trend. If it is not, this signals concern. For example, the fundamentals of the company may be deteriorating, or the company may be paying out more dividends and may not be reinvesting earnings. Book Value Per Share can be found in S&P and Value Line Stock Reports, and in the bank's annual report.

Members of the Computer Group Workshop on this topic were presented the above guidelines along with written materials and exhibits. This was followed with a hands-on computer experience in applying what had been covered. Participants not only gained new knowledge, but demonstrated they could apply it. The fear of bank stock analysis was greatly diminished and new learning was rewarded by our success in identifying two growth bank stocks which are shown in the SSGs accompanying this article.

There are useful terms and measures that can be used in bank analysis other than those presented here. Some are more technical or difficult to locate. Generally they provide additional information on the quality of bank assets. Reading the bank's annual report and comparing the figures with similar banks will add to your information and to the meaning and significance of those numbers. We encourage readers to pursue further research and to add to these recommendations their own measures for evaluating and comparing banks. Like those who attended this workshop, we hope readers will feel more confidence in their own ability to analyze bank stocks.

Source: PRNewswire-FirstCall

Nubank Story Archive