What it means
When you look at a company, its overall stock market risk is a mix of two things: the inherent risk of its underlying business operations, and the extra risk added by taking on debt. Unlevered beta strips away the debt factor to reveal just the business risk.
Think of it as looking at a company in its purest form. Why does this matter?
Different companies finance themselves in different ways. One might have zero debt, while another might fund half its operations with loans.
If you want to compare their business risks or value a new project, you cannot do a fair comparison using standard beta. Unlevered beta puts everyone on a level playing field.
In practice, financial managers use unlevered beta when evaluating new investments or acquisitions. If you operate in a specific industry, you typically find the average unlevered beta of several similar competitor firms.
This gives you a baseline business risk measurement. Once you have this baseline, you add back your own company's specific debt structure to calculate a tailored risk rate.
This tailored rate helps you figure out the minimum return your projects need to generate to satisfy your investors and lenders. Imagine testing two car engines for fuel efficiency.
One car is empty, while the other is loaded with heavy bricks. Unlevered beta is like taking the bricks out of both cars so you can fairly test just the engines.
In practice
Real-world examples
Example 1
TechCo wants to value a software startup. Because the startup has no debt, TechCo uses an unlevered beta of 1.2 to measure pure market risk. It then adds its own funding mix to arrive at a discount rate for the deal.
Example 2
RetailMart has heavy bank loans. To evaluate a new warehouse, it removes the impact of the debt and uses an unlevered beta of 0.8 to judge the core retail risk. The warehouse project is then assessed against a discount rate based on that cleaner measure.
Example 3
GreenEnergy plans to expand into solar power. It averages the unlevered betas of three pure-play solar firms, which come to 1.1, to set its baseline project risk. Because the three peers carry different amounts of debt, unlevering each one first makes the average meaningful.
Think of it
Imagine testing two car engines for fuel efficiency. One car is empty, while the other is loaded with heavy bricks. Unlevered beta is like taking the bricks out of both cars so you can fairly test just the engines.
Formula
Calculation
Unlevered Beta = Levered Beta / [1 + (1 - Tax Rate) x (Debt / Equity)]
Example 1:
A company has a levered beta of 1.3, a tax rate of 25% and a debt-to-equity ratio of 0.5.
1.3 / [1 + (1 - 0.25) x 0.5]
= 1.3 / [1 + (0.75 x 0.5)]
= 1.3 / [1 + 0.375]
= 1.3 / 1.375
= about 0.95
Example 2 (re-levering for your own company):
To apply a 0.95 industry baseline to a company with a debt-to-equity ratio of 1.0 and a tax rate of 20%, reverse the formula.
Levered Beta = Unlevered Beta x [1 + (1 - Tax Rate) x (Debt / Equity)]
= 0.95 x [1 + (0.80 x 1.0)]
= 0.95 x 1.80
= 1.71
This higher figure reflects the extra risk that borrowing adds for shareholders.Case study
Seen in the real world
This is a fictional, illustrative scenario. Oakwood Manufacturing, a mid-sized furniture maker, wanted to acquire a smaller rival called PineCraft. Oakwood had significant bank borrowings, while PineCraft was funded entirely by equity, making their raw stock risk numbers hard to compare directly. Oakwood's finance director decided to use unlevered beta to create a fair comparison.
She took PineCraft's levered beta of 1.10 and adjusted it. Since PineCraft had zero debt, its levered and unlevered betas were identical at 1.10. Next, she examined a peer group of three other furniture companies with varying debt levels. By stripping away their debt using each firm's specific tax rate and debt-to-equity ratio, she calculated an industry average unlevered beta of 0.95.
This 0.95 figure represented the pure operational risk of making furniture, free from financing distortions. Oakwood then took this baseline and applied its own debt structure to it. If Oakwood's debt-to-equity ratio were 0.5 and its tax rate 25%, the levered beta would be 0.95 x 1.375 = about 1.31, and that number would feed the discount rate used to evaluate the acquisition, helping to ensure they did not overpay due to financing differences.
Watch out
Common mistakes
- Using levered beta directly to compare companies with very different debt levels.
- Forgetting to factor in the local corporate tax rate when stripping out debt.
- Mixing up the equity value and total enterprise value in the debt-to-equity weighting.
Questions
People also ask
Is unlevered beta always lower than levered beta?
Not always. For companies with net cash instead of debt, unlevered beta can actually be higher than levered beta.
Why do we include tax rates in the formula?
Interest payments on debt are usually tax-deductible. This tax shield changes the effective risk impact of debt, so the formula accounts for it.
Can I find unlevered beta on financial websites?
Most websites show levered beta by default. You usually have to calculate unlevered beta yourself using balance sheet data.