Principal Financial (PFG) Asset Writedowns and Impairment (2009 - 2019)
Principal Financial (PFG) recorded Asset Writedowns and Impairment of $9 million in Q2 2018, down 36.6% from $14.2 million a year earlier and down 9.1% from the prior quarter.
Principal Financial (PFG) Asset Writedowns and Impairment (2009 - 2019) Analysis & Trends
On a TTM basis, Principal Financial's Asset Writedowns and Impairment came in at $57.7 million as of Jun 30, 2018, down 30.7% year-over-year; for FY2017, it came in at $81.8 million, down 16.9% from FY2016.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of -7.2% (FY2012 to FY2017).
- Across earlier years, Asset Writedowns and Impairment came in at $98.4 million in FY2016 (+225.8%), $30.2 million in FY2015 (-61.3%), $78 million in FY2014 (-32.8%) and $116 million in FY2013 (-2.2%).
- The Q2 2018 figure is the lowest quarterly Asset Writedowns and Impairment since Q3 2015.
- On a year-over-year basis, Asset Writedowns and Impairment has declined for three consecutive quarters, with growth averaging 23.8% over the last eight quarters.
- Peak year-over-year performance for Asset Writedowns and Impairment in the last five years was growth of 541.3% in Q1 2016, against a decline of 73.8% in Q2 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.9 million (Q1 2018), $22.2 million (Q4 2017) and $16.6 million (Q3 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 173.27 Bn | 119.63 Bn | - |
| 2 | Spdr Gold Trust | 129.05 Bn | -428.96 Bn | - |
| 3 | Blackstone | 88.78 Bn | 83.71 Bn | - |
| 4 | Brookfield | 85.33 Bn | -97.75 Bn | - |
| 5 | Kkr | 82.00 Bn | 48.48 Bn | - |
| 6 | Brookfield Asset Management | 75.12 Bn | 71.37 Bn | - |
| 7 | Apollo Global Management | 64.96 Bn | 2.65 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 54.88 Bn | 50.30 Bn | 687.86 Mn |
| 9 | Franco Nevada | 44.09 Bn | 41.46 Bn | 451.00 Mn |
| 10 | Principal Financial | 23.30 Bn | 176.07 Mn | 1.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 8.30 Mn |
| Sep 30, 2019 | 11.10 Mn |
| Jun 30, 2019 | 17.30 Mn |
| Mar 31, 2019 | 6.80 Mn |
| Dec 31, 2018 | 6.60 Mn |
| Sep 30, 2018 | 3.60 Mn |
| Jun 30, 2018 | 9.00 Mn |
| Mar 31, 2018 | 9.90 Mn |
| Dec 31, 2017 | 22.20 Mn |
| Sep 30, 2017 | 16.60 Mn |
| Jun 30, 2017 | 14.20 Mn |
| Mar 31, 2017 | 28.80 Mn |
| Dec 31, 2016 | 29.00 Mn |
| Sep 30, 2016 | 11.30 Mn |
| Jun 30, 2016 | 10.00 Mn |
| Mar 31, 2016 | 48.10 Mn |
| Dec 31, 2015 | 9.10 Mn |
| Sep 30, 2015 | 7.60 Mn |
| Jun 30, 2015 | 6.00 Mn |
| Mar 31, 2015 | 7.50 Mn |
Principal 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=PFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "PFG", "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=PFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();