Prudential (PUK) Cost of Revenue (2009 - 2020)
Prudential's (PUK) quarterly Cost of Revenue came in at $3.6 billion in Q4 2020, down 9.07% year-over-year from $4.0 billion in Q1 2020, and down 9.07% quarter-over-quarter from $4.0 billion in Q4 2019.
Prudential (PUK) Cost of Revenue (2009 - 2020) Analysis & Trends
Prudential has disclosed Cost of Revenue across 11 years of filings, most recently posting $3.6 billion for Q4 2020.
- In Q4 2020, Cost of Revenue fell 9.07% year-over-year to $3.6 billion; the TTM figure through Dec 2020 stood at $14.8 billion (up 23.3% YoY), while the FY2024 annual figure was $3.1 billion, up 8.03% from the prior year.
- Cost of Revenue came in at $3.6 billion for Q4 2020 at Prudential, down from $4.0 billion in the prior quarter.
- In the past five years, Cost of Revenue ranged from a high of $4.3 billion in Q4 2018 to a low of $852.9 million in Q4 2016.
- Average Cost of Revenue over 5 years is $3.1 billion, with a median of $3.6 billion recorded in 2020.
- Year-over-year, Cost of Revenue tumbled 95.69% in 2016 and soared 234.7% in 2017.
- Over 5 years, Cost of Revenue stood at $852.9 million in 2016, then soared by 234.7% to $2.9 billion in 2017, then surged by 50.11% to $4.3 billion in 2018, then decreased by 6.32% to $4.0 billion in 2019, then fell by 9.07% to $3.6 billion in 2020.
- Per Business Quant data, the three most recent Cost of Revenue figures were $3.6 billion in Q4 2020, $4.0 billion in Q4 2019, and $4.3 billion in Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 5.41 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 6.40 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 2.52 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 17.00 Mn |
| 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 | 1.07 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 3.65 Bn |
| Dec 31, 2019 | 4.01 Bn |
| Dec 31, 2018 | 4.29 Bn |
| Dec 31, 2017 | 2.85 Bn |
| Dec 31, 2016 | 852.85 Mn |
| Dec 31, 2015 | 19.77 Bn |
| Dec 31, 2014 | 2.43 Bn |
| Sep 19, 2014 | 1.14 Bn |
| Dec 31, 2013 | 1.18 Bn |
| Sep 16, 2013 | 946.31 Mn |
| Dec 31, 2012 | 737.09 Mn |
| Oct 22, 2012 | 726.69 Mn |
| Dec 31, 2011 | 575.19 Mn |
| Sep 30, 2011 | 623.89 Mn |
| Dec 31, 2009 | 1.02 Bn |
Prudential Cost of Revenue 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=cost-of-revenue&ticker=PUK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();