Financial Analysis In Special Situations

Binod Shankar CFA

Whether you are an owner, FP&A manager, banker, equity analyst, or an investor, what numbers and ratios should you focus on and WHY? What should you ignore? What rarely used MODELS and techniques should you now deploy?

Sector elasticity

Before we dive into the numbers, it is essential to take a few steps back and see how badly sectors have been and will continue to be affected.

Income elasticities, which measure category volume sales change relative to GDP change, appear to be a good measure of company/business risk. There is a high correlation of this elasticity with the recent stock market performance.

• As you can see, the lower the elasticity, the lower the fall in stock prices and hence the lower the company risk.
• Adidas, Nike and LVMH have higher COVID-19 risk exposure among select FMCG companies, while Kraft Heinz and Kimberly-Clark, which are less dependent on discretionary spending, appear to be less exposed.
• Fast Moving Consumer Goods (“FMCG”) is a relative safe haven compared to the broader market as it is less dependent on discretionary spending.
• Apparel, luxury and discretionary goods companies face greater risk exposure along with travel and transportation.

Cash

Revenue is Vanity; Profit is Sanity; Cash Flow is Reality.

Because the first two are a mix of cash and accruals, they can be highly misleading with many assumptions, estimates and judgement calls.  For the same reason, your:

• Order book is irrelevant
• Revenue is irrelevant
• Gross margins are irrelevant
• Receivables are irrelevant
• EBITDA is irrelevant
• EBIT is irrelevant
• Net Profit is irrelevant

The tool that provides clarity about a situation’s severity is the cash budget.

The alarm is the cash survival ratio, also known as cash buffer days. Cash survival ratio = Cash balance/ average daily cash outflows from operations and is measured in no of days. It forecasts how many days the business can survive without injecting new cash.

If this ratio has been heading down and is in double digits it’s probably time to look urgently at cutting costs, collecting receivables and look around for funds.

Liquidity

The most common measures of liquidity are the current and quick ratios. A liquid asset is something you can quickly convert into cash without loss of value. Inventories and receivables are far less liquid in these troubled times.

But the current ratio is nonsense. It often overstates liquidity because the numerator has two items i.e. inventories (what you cannot sell) and debtors (what you can’t collect).

Instead, calculate the Cash Ratio (cash/current liabilities). This ratio is more conservative because it only considers the most liquid resource i.e. cash. Less than 1 is usually bad news. Less than 1 may NOT be bad news IF you’ve lengthier-than-normal credit with suppliers, well-managed inventory, and give little credit to customers.

Working capital

This is where most of the problems start.

Working Capital is defined as Current Assets – Current Liabilities. Although common, it’s not great to have positive WC in tough times; it means your funds are stuck in inventory and receivables. Receivables and inventory rise faster than payables.

Which brings us to the crucial Cash Conversion Cycle (“Cycle”).

Take a trading company.

This Cycle shows how much time it takes (in days) to convert raw materials bought on credit (inventory) to receivables to cash which is used to pay suppliers.

Generally, the longer this cycle takes the less cash you will have. Because you must pay suppliers, payroll, rent, etc. irrespective of when and how much you sell and collect. In the case of manufacturing companies this cycle is even longer due to work in progress. And currently, this cycle is lengthening at a dramatic pace for many companies.

Ask what is causing the Cycle to rise. Inventory? Receivables? Calculate the Days inventory On Hand (DOH) and Days Sales Outstanding (DSO) to reveal the story.

Operating Leverage (“OL”)

Everyone knows about Financial Leverage (debt). But few know of its close and equally dangerous but far more common cousin Mr. Operating Leverage. This causes more harm these days than Financial Leverage.

OL comes from fixed operating costs; payroll, rent etc. It’s defined as the percentage change in Earnings Before Interest and Tax (“EBIT”) for a 1% change in sales. It shows how sensitive your operating profit is to change in sales.

High OL is excellent when sales are rising because mathematically once you cover your fixed costs all additional sales go straight to profits. It’s bad when sales fall, and disastrous when sales crater as in now.

Manufacturing, utility, airline and software companies have high OL. Retailers and labor-intensive industries such as restaurants have low OL.

Calculate your OL. What is the impact on your profit of a 30/50/70% drop in revenue? Can you switch to a variable cost structure? The more variable, the less the OL. Its easier said than done though. What fixed costs can you cut? The less fixed costs, the lower the OL.

Solvency

This show how much debt you have, on a relative basis.

How to measure? First, ignore EBITDA related ratios. Focus on Debt ratios like Debt to Equity and Debt to Capital.

Another ratio is the Cash Flow to Debt Ratio which is the projected Cash Flow from Operations (“CFO”) divided by total debt. It tells you how fast debt can be paid off if you were to devote ALL your CFO for that. Normally, you want to see this ratio above 66% — the higher, the better. The higher the more flexibility you have. Some analysts use free cash flow instead of cash flow from operations.

Also, look at loan payments due in the next 3-6 months including operating lease payments (off balance sheet).

Use cash flow forecasting.

Financial Leverage (“FL”)

If OL is from fixed operating costs, FL is from fixed financing costs i.e. interest on debt. FL is the % change in Net Income for a 1% change in Earnings Before Interest and Tax (“EBIT”).

High FL is great when EBIT rising. It’s disastrous when EBIT plummeting. High FL also happens when you have a high proportion of debt.

Calculate the FL. See the impact of a 30/50/70% drop in EBIT on Net Income.

Predictive models

In these tough times, we must assess the likelihood of bankruptcy and accounting fraud. The next two measures help in this.

Detecting bankruptcy

The Altman Ratio has been the default tool for decades. 

You get the Z-score formula for predicting bankruptcy which is used to predict the probability that a firm will go into bankruptcy within two years.

Where:

• T₁ = Working Capital / Total Assets (High =positive working capital)

• T₂ = Retained Earnings / Total Assets (High =profitable + less debt financing)

• T₃ = Earnings Before Interest and Taxes / Total Assets (High = high operating profits)

• T₄ = Market Value of Equity / Total Liabilities (High = more investor confidence)

• T₅ = Sales/ Total Assets (High= more sales efficiency)

Zones of Discrimination:

Z > 2.99                     :                      “Safe”

Zones 1.81 < Z < 2.99 :                  “Grey”

Zones < 1.81            :                       “Distress”

Detecting earnings manipulation

The second predictive model is the Beneish model. Because research shows a higher probability of fraud during recessions.

You calculate the M score as below.

M-score = –4.84 + 0.920 (DSRI) + 0.528 (GMI) + 0.404 (AQI) + 0.892 (SGI) + 0.115 (DEPI) – 0.172 (SGAI) + 4.67 (Accruals) – 0.327 (LEVI)

It’s a multiple regression model with eight independent variables. Four of the eight are Lead indicators and four are Lag indicators as explained below:

• Days’ Sales in Receivables Index (DSRI): Large increase in receivables might suggest accelerated revenue recognition (lag)
• Gross Margin Index (GMI): Margin deterioration creates an incentive to inflate profits (lead)
• Asset Quality Index (AQI): An increase in intangibles indicates wrong cost deferral (lag)
• Sales Growth Index (SGI): High sales growth companies are more likely to commit fraud to keep sales up (lead)
• Depreciation Index (DEPI): Falling depreciation rates suggests useful lives have been stretched to inflate profits (lag)
• Sales, General and Administrative Expenses (SGAI): Disproportionate increase may be an incentive to inflate profits (lead)
• Leverage Index (LVGI): Increase in leverage creates an incentive to manipulate profits in order to meet debt covenants (lead)
• Total Accruals to Total Assets (TATA):  Higher accruals means high chance that profits have been manipulated (lag)

It classifies a company as an earnings manipulator if its M-Score is greater than -2.22.

Buy or sell?

I am an investor and follow the US stock market closely. Of course, all the above are important to an investor who is keen on fundamental analysis. Additionally, you’ve to look at valuations, a very tricky area these days.

The Fair Value of a stock is what the price SHOULD be. For a listed stock if the Fair Value (“FV”) exceeds Market Value (“MV”) you normally BUY. If opposite, SELL.

For calculating the FV you need a price comparable (e.g. PE ratio) or cash flows, both of which come from forecasted company financials. The unusual issue now is that companies CANNOT give reliable estimates of either.  Hence the estimation of FV is almost impossible. And please don’t use the fair values listed on report and websites; they are old and grossly overstated.

Let’s look at MV.  After a sharp fall, the market rallied and has been range-bound for the last month. But many expect another fall, with a forecasted S&P of between 1,800 and 2,200.

Hence both FV & MV are unreliable and this is a frustrating situation because you cannot really know how overvalued or undervalued a stock is.

My advice? Since most FV’s are inflated, either wait till you have more visibility on earnings. Or, in the absence of earnings guidance, invest with a minimum 30% upside.   

Conclusion

The above are indicators, not solutions. They enable you to you ask incisive questions and think of scenarios and solutions.

And number crunching is a complement to, not a substitute for, solid business sense.

(The author, Binod Shankar, is an entrepreneur, podcaster, and guest on CNBC Arabia. This article reflects the opinions of the writer alone and not necessarily that of AlphaStreet)