A company reports basic earnings per share of 2.00 and diluted earnings per share of 1.82. That difference does not necessarily mean profit fell between two reporting dates. The figures may describe the same period using different calculations of the shares participating in its earnings.
IAS 33, the IFRS standard on earnings per share, distinguishes basic EPS from diluted EPS. Basic EPS uses earnings attributable to ordinary equity holders and a weighted-average number of ordinary shares. Diluted EPS reflects the effects of dilutive potential ordinary shares, with adjustments to earnings where required.
A small example makes the denominator visible
Consider a fictional company with 1,000,000 in applicable earnings and 500,000 weighted-average ordinary shares. Basic EPS is 2.00. If a simplified diluted calculation adds 50,000 shares and requires no earnings adjustment, the result is approximately 1.82: 1,000,000 divided by 550,000.
This deliberately stripped-down example is not a calculation template for every instrument. Convertible debt, options and other arrangements can require different adjustments. Nor does the diluted figure simply include every share that might conceivably exist. The standard distinguishes dilutive effects from antidilutive ones.
Read the reconciliation, not just the headline
Find the earnings-per-share note in the financial statements. Look for the earnings numerator, the weighted-average share count and the reconciliation to the diluted calculation. Identify which instruments account for the difference and whether the figures cover the same period and accounting basis.
Weighted average is an important phrase. A share issue partway through the year does not necessarily affect the annual calculation as though those shares had existed for all twelve months. The closing share count on a market-data screen therefore need not reproduce the reported denominator.
EPS helps describe a company’s reported results, but it is not a forecast of its share price. Comparing companies also requires attention to their earnings quality, business circumstances and accounting disclosures. Start by understanding what each figure measures before deciding that the larger number tells the better story.