Why banks have no current ratio: when a different sector makes a metric disappear entirely

Look through a screen that lists financial metrics and you will come across empty fields. Most people then think, “the data has not come in yet.” That is half right and half wrong, because blanks mix two kinds of a completely different nature.

The first kind is when the data source did not answer this time. The figure has been disclosed, but the data provider temporarily did not deliver that item, or aggregation is running late and it has not been reflected yet. A blank like this may well be filled if you look again tomorrow.

The second kind is when the number never existed for that company in the first place. The calculation does not work given the accounting structure, so it will never be filled no matter how long you wait. A bank's current ratio falls into this second kind.

The two must be told apart, because the reader has to do opposite things. In the first case, waiting is enough; in the second, other metrics have to stand in.

The current ratio is current assets divided by current liabilities. It shows how far the assets that can be turned into cash within a year exceed the debts due within a year. For companies where inventory and receivables cycle through, such as manufacturers and distributors, it is a very natural calculation.

Yet open a bank's balance sheet and you will find no line called current assets and none called current liabilities. Accounting standards allow financial companies to list assets and liabilities in order of liquidity instead of splitting them at the one-year mark, and most banks use that method. With no numerator and no denominator in the financial statements, no current ratio can be produced.

This is not the bank hiding information. Quite the opposite. A bank's actual flow of funds does not become meaningful when cut into one-year compartments, and listing items in order of liquidity shows the company's condition more accurately. There is a sound accounting reason the metric disappears.

Something similar happens at insurers and some holding companies. A different business structure means a different skeleton for the financial statements, and when the skeleton changes, a metric calculated on top of it disappears entirely.

Some metrics do not disappear but change meaning. The debt ratio is the classic example. In manufacturing, a high debt ratio generally means a lot of borrowed money, and it reads as a sign of the interest burden and repayment pressure that come with it.

Banks are different. Deposits that customers place with a bank are, in accounting terms, the bank's liabilities. Taking in deposits and putting them to work as loans is a bank's core business, so a bank's debt ratio reflects how large a business it runs. Apply the manufacturing yardstick as is, and the more normally a bank operates, the riskier it appears.

For the same reason, the soundness of financial companies is supervised not through the debt ratio but through sector-specific measures such as the capital adequacy ratio. Which numbers to look at changes entirely with the sector.

So lining up debt ratios from different sectors and comparing only their size is like measuring two numbers in different units with the same ruler. A number comes out, but the comparison means nothing.

The problem comes from how these blanks are handled. A program that processes data stops calculating when a value is missing, so there is a temptation to fill the blank with something. The most common choice is zero.

Why this is dangerous becomes clear once you think about direction. A lower debt ratio is better. So writing zero into the blanks of a bank that has no current ratio or debt ratio scores it as a company with no debt at all, and its financial stability score comes out close to the maximum. The single fact that the data source was silent turns into a top score.

The error also runs the other way. ROE is net income divided by equity, and a company that has repurchased its own shares on a large scale for many years can end up with negative equity on its books. With a negative denominator, ROE cannot be interpreted, and the data provider gives no value at all. Write zero into that blank, and a company earning solid profits gets the lowest profitability score.

What the two cases share is that the distortion comes not from the company's actual condition but from how the blank was filled. And someone who sees only the result has no way of knowing that.

Jupick does not write zero where a value is missing. Instead it enters a neutral fill-in value that produces exactly the middle score of 50 points on that metric: 7 percent for ROE, 110 percent for the debt ratio and 128 percent for the current ratio. That point is judged neither good nor bad, so the fact that the data source did not answer pushes the grade neither up nor down.

Jupick also considered entering the sector average or the median of all stocks instead, but did not use either. Doing so would slip in a new claim: “this company does at least as well as average.” Leaving the unknown as unknown is more honest.

There is one exception. A zero in a dividend metric can be a measured value rather than a missing value, because a company that pays no dividend makes no dividend disclosure at all. So when the disclosure source responds but the dividend item is empty, Jupick treats that zero as the measured result of no dividend, and marks as missing only the zeros from runs where the lookup itself failed. The same zero means different things depending on the circumstances.

More important is not hiding this on screen. A metric that uses a fill-in value is shown on the stock page as a hyphen instead of the original number, with a one-line note below it on why it is blank. The note distinguishes whether the data source did not answer this time or the metric does not exist for that company at all.

In the scoring by area, you can also see how many points out of 100 each metric received to produce the grade. The aim is to show the ingredients behind a conclusion rather than handing over the conclusion alone.

Neutral treatment reduces distortion; it does not remove it. If one metric is filled with a neutral value, that area score has been calculated with one fewer actually measured metric. Even at the same grade B, a stock with all nine metrics present and a stock with two blanks rest on evidence of different thickness.

Financial stability scores for financial-sector stocks in particular need careful reading. In a sector where the current ratio is blank and the debt ratio means something different, a score set by the same yardstick as ordinary companies can hardly be said to represent the company's soundness as is. With financial-sector stocks, it is better to check individual metrics together with sector-specific soundness information rather than relying on the grade.

A hyphen is not an error mark but information. The right way to use it is to read the one-line note on what happened to that metric and, if needed, look for another number that can stand in for it.

This content is for information only and is not investment advice. Investment decisions and responsibility for them rest with the user.