Prudential Financial (PRU) Asset Writedowns and Impairment (2010 - 2015)
Prudential Financial (PRU) recorded Asset Writedowns and Impairment of $177 million in FY2023, down 80.4% from $903 million in FY2022.
Analysis
Prudential Financial (PRU) Asset Writedowns and Impairment (2010 - 2015) Analysis & Trends
- Per Business Quant data, PRU's Asset Writedowns and Impairment was $903 million in FY2022 (-14.8%) and $1.06 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 138.40 Bn | 84.98 Bn | 9.13 Bn |
| 2 | Progressive | 133.33 Bn | 109.17 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 93.93 Bn | 86.09 Bn | - |
| 4 | Travelers Companies | 84.26 Bn | 60.50 Bn | 6.23 Bn |
| 5 | Manulife Financial | 75.60 Bn | -19.29 Bn | - |
| 6 | Arthur J. Gallagher | 68.87 Bn | 63.28 Bn | - |
| 7 | Allstate | 65.11 Bn | 26.38 Bn | 8.73 Bn |
| 8 | Aon | 64.53 Bn | 57.75 Bn | - |
| 9 | Metlife | 63.36 Bn | -43.42 Bn | 7.82 Bn |
| 10 | Prudential Financial | 39.70 Bn | -90.61 Bn | 7.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 14.00 Mn |
| Dec 31, 2014 | 14.00 Mn |
| Sep 30, 2014 | 2.00 Mn |
| Jun 30, 2014 | 32.00 Mn |
| Mar 31, 2014 | 79.00 Mn |
| Dec 31, 2013 | 208.00 Mn |
| Sep 30, 2013 | 359.00 Mn |
| Jun 30, 2013 | 180.00 Mn |
| Mar 31, 2013 | 308.00 Mn |
| Dec 31, 2012 | 266.00 Mn |
| Sep 30, 2012 | 426.00 Mn |
| Jun 30, 2012 | 346.00 Mn |
| Mar 31, 2012 | 573.00 Mn |
| Dec 31, 2011 | 596.00 Mn |
| Sep 30, 2011 | 402.00 Mn |
| Jun 30, 2011 | 629.00 Mn |
| Mar 31, 2011 | 575.00 Mn |
| Dec 31, 2010 | 818.00 Mn |
| Sep 30, 2010 | 435.00 Mn |
| Jun 30, 2010 | 514.00 Mn |
API Access
Prudential Financial Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=PRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "PRU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=PRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();