Unilever Plc (UNLYF) Research & Development (2011 - 2015)
Unilever (UNLYF) posted Research & Development of -$1.1 billion for Q4 2015, up 7.71% on a QoQ basis from -$1.2 billion in Q4 2014, and up 7.71% year-over-year from -$1.0 billion in Q4 2014.
Unilever Plc (UNLYF) Research & Development (2011 - 2015) Analysis & Trends
Unilever has reported Research & Development for 5 years, with the latest figure at -$1.1 billion in Q4 2015.
- On a quarterly basis, Research & Development rose 7.71% year-over-year to -$1.1 billion in Q4 2015; TTM through Dec 2015 was -$5.0 billion, a 4.9% increase from a year earlier, with the FY2024 full-year figure at -$1.1 billion, down 4.06% from the prior year.
- Research & Development was -$1.1 billion for Q4 2015 at Unilever, up from -$1.2 billion in the prior quarter.
- The five-year high for Research & Development was -$1.1 billion in Q4 2015, with the low at -$1.4 billion in Q4 2013.
- Average Research & Development over 5 years is -$1.3 billion, with a median of -$1.3 billion recorded in 2012.
- The sharpest annual moves came in 2013 and 2014: Research & Development dropped 8.82% in 2013, then grew 15.68% in 2014.
- Over 5 years, Research & Development stood at -$1.4 billion in 2011, then increased by 4.34% to -$1.3 billion in 2012, then fell by 8.82% to -$1.4 billion in 2013, then increased by 15.68% to -$1.2 billion in 2014, then grew by 7.71% to -$1.1 billion in 2015.
- The last three Research & Development figures came in at -$1.1 billion (Q4 2015), -$1.2 billion (Q4 2014), and -$1.4 billion (Q4 2013), per Business Quant data.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -1.10 Bn |
| Dec 31, 2014 | -1.19 Bn |
| Dec 31, 2013 | -1.42 Bn |
| Dec 31, 2012 | -1.30 Bn |
| Dec 31, 2011 | -1.36 Bn |
Unilever Plc Research & Development 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=research-and-development&ticker=UNLYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=UNLYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();