Unilever Plc (UNLYF) Operating Expenses (2009 - 2015)
Unilever (UNLYF) posted Operating Expenses of -$19.4 billion for Q4 2015, down 6.24% on a QoQ basis from -$18.3 billion in Q4 2014, and down 6.24% year-over-year from -$20.7 billion in Q4 2014.
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Unilever Plc (UNLYF) Operating Expenses (2009 - 2015) Analysis & Trends
Unilever has reported Operating Expenses for 7 years, with the latest figure at -$19.4 billion in Q4 2015.
- On a quarterly basis, Operating Expenses fell 6.24% year-over-year to -$19.4 billion in Q4 2015; TTM through Dec 2015 was -$80.7 billion, a 0.44% change from a year earlier, with the FY2024 full-year figure at -$19.5 billion, down 8.07% from the prior year.
- Operating Expenses was -$19.4 billion for Q4 2015 at Unilever, down from -$18.3 billion in the prior quarter.
- The five-year high for Operating Expenses was -$18.3 billion in Q4 2014, with the low at -$21.6 billion in Q4 2013.
- Average Operating Expenses over 5 years is -$20.1 billion, with a median of -$19.7 billion recorded in 2011.
- The sharpest annual moves came in 2011 and 2014: Operating Expenses plunged 152.75% in 2011, then increased 15.35% in 2014.
- Over 5 years, Operating Expenses stood at -$19.7 billion in 2011, then declined by 8.74% to -$21.5 billion in 2012, then fell by 0.42% to -$21.6 billion in 2013, then climbed by 15.35% to -$18.3 billion in 2014, then fell by 6.24% to -$19.4 billion in 2015.
- The last three Operating Expenses figures came in at -$19.4 billion (Q4 2015), -$18.3 billion (Q4 2014), and -$21.6 billion (Q4 2013), per Business Quant data.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -19.39 Bn |
| Dec 31, 2014 | -18.25 Bn |
| Dec 31, 2013 | -21.56 Bn |
| Dec 31, 2012 | -21.47 Bn |
| Dec 31, 2011 | -19.74 Bn |
| Dec 31, 2010 | 37.43 Bn |
| Dec 31, 2009 | 37.53 Bn |
API Access
Unilever Plc Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=UNLYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UNLYF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=UNLYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();