Unilever Plc (UNLYF) Other Operating Expenses (2009 - 2015)
Unilever (UNLYF) posted Other Operating Expenses of -$9.9 million for Q4 2015, down 100.57% on a QoQ basis from $1.7 billion in Q4 2014, and down 100.57% year-over-year from $1.7 billion in Q4 2014.
Unilever Plc (UNLYF) Other Operating Expenses (2009 - 2015) Analysis & Trends
Unilever has reported Other Operating Expenses for 7 years, with the latest figure at -$9.9 million in Q4 2015.
- On a quarterly basis, Other Operating Expenses fell 100.57% year-over-year to -$9.9 million in Q4 2015; TTM through Dec 2015 was $2.9 billion, a 9.66% decrease from a year earlier, with the FY2025 full-year figure at -$40.7 million, up 83.59% from the prior year.
- Other Operating Expenses was -$9.9 million for Q4 2015 at Unilever, down from $1.7 billion in the prior quarter.
- The five-year high for Other Operating Expenses was $1.7 billion in Q4 2014, with the low at -$9.9 million in Q4 2015.
- Average Other Operating Expenses over 5 years is $635.4 million, with a median of $297.8 million recorded in 2011.
- The sharpest annual moves came in 2013 and 2015: Other Operating Expenses jumped 557.51% in 2013, then sank 100.57% in 2015.
- Over 5 years, Other Operating Expenses stood at $297.8 million in 2011, then tumbled by 49.05% to $151.7 million in 2012, then surged by 557.51% to $997.7 million in 2013, then soared by 74.38% to $1.7 billion in 2014, then tumbled by 100.57% to -$9.9 million in 2015.
- The last three Other Operating Expenses figures came in at -$9.9 million (Q4 2015), $1.7 billion (Q4 2014), and $997.7 million (Q4 2013), per Business Quant data.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -9.87 Mn |
| Dec 31, 2014 | 1.74 Bn |
| Dec 31, 2013 | 997.68 Mn |
| Dec 31, 2012 | 151.74 Mn |
| Dec 31, 2011 | 297.84 Mn |
| Dec 31, 2010 | 37.43 Bn |
| Dec 31, 2009 | 37.53 Bn |
Unilever Plc Other 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=other-operating-expenses&ticker=UNLYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=UNLYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();