Prudential (PUK) Research & Development (2009 - 2015)
Prudential's (PUK) quarterly Research & Development came in at -$6.1 million in Q4 2015, down 283.11% year-over-year from $3.3 million in Q4 2014, and down 283.11% quarter-over-quarter from -$1.6 million in Q4 2014.
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Analysis
Prudential (PUK) Research & Development (2009 - 2015) Analysis & Trends
Prudential has disclosed Research & Development across 7 years of filings, most recently posting -$6.1 million for Q4 2015.
- In Q4 2015, Research & Development fell 283.11% year-over-year to -$6.1 million; the TTM figure through Dec 2015 stood at -$12.6 million (down 31.31% YoY), while the FY2014 annual figure was -$3.2 million, down 1.25% from the prior year.
- Research & Development came in at -$6.1 million for Q4 2015 at Prudential, down from -$1.6 million in the prior quarter.
- In the past five years, Research & Development ranged from a high of -$1.6 million in Q4 2014 to a low of -$11.2 million in Q4 2012.
- Average Research & Development over 5 years is -$4.7 million, with a median of -$3.2 million recorded in 2011.
- Year-over-year, Research & Development jumped 71.19% in 2013 and tumbled 283.11% in 2015.
- Over 5 years, Research & Development stood at -$7.9 million in 2011, then plunged by 43.06% to -$11.2 million in 2012, then jumped by 71.19% to -$3.2 million in 2013, then jumped by 51.07% to -$1.6 million in 2014, then plunged by 283.11% to -$6.1 million in 2015.
- Per Business Quant data, the three most recent Research & Development figures were -$6.1 million in Q4 2015, -$1.6 million in Q4 2014, and -$1.7 million in Q3 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 460.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -4.05 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2.27 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 252.82 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -6.07 Mn |
| Dec 31, 2014 | -1.58 Mn |
| Sep 19, 2014 | -1.68 Mn |
| Dec 31, 2013 | -3.24 Mn |
| Sep 16, 2013 | -3.07 Mn |
| Dec 31, 2012 | -11.24 Mn |
| Oct 22, 2012 | -4.75 Mn |
| Dec 31, 2011 | -7.86 Mn |
| Sep 30, 2011 | -3.24 Mn |
| Dec 31, 2010 | -6.32 Mn |
| Dec 31, 2009 | -9.80 Mn |
API Access
Prudential 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=PUK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "PUK", "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=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();