Income Statement
Quarterly Data
The income statement presents information on the financial results of a company business activities over a period of time. The income statement communicates how much revenue the company generated during a period and what cost it incurred in connection with generating that revenue.
Based on: 10-Q (reporting date: 2018-02-28), 10-Q (reporting date: 2017-11-30), 10-K (reporting date: 2017-08-31), 10-Q (reporting date: 2017-05-31), 10-Q (reporting date: 2017-02-28), 10-Q (reporting date: 2016-11-30), 10-K (reporting date: 2016-08-31), 10-Q (reporting date: 2016-05-31), 10-Q (reporting date: 2016-02-29), 10-Q (reporting date: 2015-11-30), 10-K (reporting date: 2015-08-31), 10-Q (reporting date: 2015-05-31), 10-Q (reporting date: 2015-02-28), 10-Q (reporting date: 2014-11-30), 10-K (reporting date: 2014-08-31), 10-Q (reporting date: 2014-05-31), 10-Q (reporting date: 2014-02-28), 10-Q (reporting date: 2013-11-30), 10-K (reporting date: 2013-08-31), 10-Q (reporting date: 2013-05-31), 10-Q (reporting date: 2013-02-28), 10-Q (reporting date: 2012-11-30), 10-K (reporting date: 2012-08-31), 10-Q (reporting date: 2012-05-31), 10-Q (reporting date: 2012-02-29), 10-Q (reporting date: 2011-11-30).
The financial performance exhibits a pronounced cyclical pattern, with revenue and profitability fluctuating significantly across quarters. This seasonality is consistent throughout the period from late 2011 to early 2018, characterized by substantial peaks in the February and May quarters and troughs in the August and November quarters.
- Revenue and Gross Profit Trends
- Net sales demonstrate a recurring annual cycle, typically peaking between US$ 4.7 billion and US$ 5.8 billion in the second and third quarters of the calendar year, while declining to between US$ 2.1 billion and US$ 3.1 billion in the fourth and first quarters. Gross profit follows this same trajectory, reflecting a stable relationship between sales and the cost of goods sold. Despite the volatility, the gross margin remains robust, though the absolute peaks in net sales observed in 2014 slightly declined by 2017.
- Operating Expense Analysis
- Selling, general and administrative (SG&A) expenses and research and development (R&D) costs remain relatively stable compared to the volatility of revenue. SG&A expenses generally range between US$ 500 million and US$ 975 million, while R&D spending consistently fluctuates between US$ 340 million and US$ 485 million. A notable shift occurs starting in 2015, where restructuring charges and costs related to the Bayer transaction began to impact operating expenses, introducing additional non-recurring outflows that pressured operating income.
- Operating Income and Profitability
- Income from operations is subject to extreme swings, frequently alternating between significant quarterly profits exceeding US$ 2 billion and operating losses. The most significant volatility is observed in the periods ending August and November, where the company often records negative operating income. Net income attributable to the company mirrors this volatility, with peaks typically occurring in February and troughs in August.
- Financial Costs and Other Income
- Interest expenses show a clear upward trend over the analyzed period. Expenses that averaged approximately US$ 40 million to US$ 50 million per quarter between 2011 and 2013 increased to a range of US$ 100 million to US$ 136 million per quarter from 2014 through 2017. This indicates a significant increase in the company's debt burden or interest rate exposure over time. Other income and expenses remained volatile, with occasional spikes in 2016 and 2017 that provided temporary offsets to operating losses.
- Net Income and Tax Impact
- The bottom line is heavily influenced by the timing of tax provisions and benefits. During quarters of high profitability, income tax provisions are substantial, whereas tax benefits are often realized during quarters of operating losses. The net income attributable to the company reflects the culmination of these seasonal sales peaks, increasing interest costs, and the impact of one-time transaction and restructuring charges in the latter half of the data set.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?