Brookfield Property Partners (BPYPP) Restructuring Costs (2013 - 2020)
Brookfield Property Partners (BPYPP) recorded Restructuring Costs of $28 million in the quarter ended Dec 31, 2020, up 16.7% from $24 million a year earlier and up 300.0% from the prior quarter.
Brookfield Property Partners (BPYPP) Restructuring Costs (2013 - 2020) Analysis & Trends
For the year ended Dec 31, 2020, Brookfield Property Partners reported Restructuring Costs of $33 million, down 65.6% from the prior year.
- Annual Restructuring Costs has a five-year compound annual growth rate of -13.7% (years ended Dec 2015 to Dec 2020).
- Across earlier years, Restructuring Costs came in at $96 million in the year ended Dec 31, 2019 (-56.6%), $221 million in the year ended Dec 31, 2018 (+439.0%), $41 million in the year ended Dec 31, 2017 (-6.8%) and $44 million in the year ended Dec 31, 2016 (-36.2%).
- The figure for the quarter ended Dec 31, 2020 is the highest quarterly Restructuring Costs since the quarter ended Sep 30, 2019.
- On a year-over-year basis, Restructuring Costs rose in three of the last seven quarters, with an average decline of 31.8%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 930.0% in the quarter ended Sep 30, 2018, against a decline of 80.0% in the quarter ended Jun 30, 2017 at the low end.
- Per Business Quant, the preceding three quarters came in at $7 million (quarter ended Sep 30, 2020), -$12 million (quarter ended Jun 30, 2020) and $10 million (quarter ended Mar 31, 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - |
| 10 | Brookfield Property Partners | 14.62 Bn | 7.28 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 28.00 Mn |
| Sep 30, 2020 | 7.00 Mn |
| Jun 30, 2020 | -12.00 Mn |
| Mar 31, 2020 | 10.00 Mn |
| Dec 31, 2019 | 24.00 Mn |
| Sep 30, 2019 | 35.00 Mn |
| Jun 30, 2019 | 18.00 Mn |
| Mar 31, 2019 | 19.00 Mn |
| Dec 31, 2018 | 85.00 Mn |
| Sep 30, 2018 | 103.00 Mn |
| Jun 30, 2018 | 15.00 Mn |
| Mar 31, 2018 | 18.00 Mn |
| Dec 31, 2017 | 15.00 Mn |
| Sep 30, 2017 | 10.00 Mn |
| Jun 30, 2017 | 2.00 Mn |
| Mar 31, 2017 | 14.00 Mn |
| Dec 31, 2016 | 10.00 Mn |
| Sep 30, 2016 | 15.00 Mn |
| Jun 30, 2016 | 10.00 Mn |
| Mar 31, 2016 | 9.00 Mn |
Brookfield Property Partners Restructuring Costs 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=restructuring-costs&ticker=BPYPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "BPYPP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=BPYPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();