Prologis (PLD) Real Estate Taxes and Insurance (2009 - 2011)
Prologis (PLD) posted Real Estate Taxes and Insurance of $41.61 million for Q1 2011, up 3.9% from $40.05 million a year earlier and up 14.9% from the prior quarter.
Prologis (PLD) Real Estate Taxes and Insurance (2009 - 2011) Analysis & Trends
For the trailing twelve months through Mar 31, 2011, Real Estate Taxes and Insurance at Prologis was $158.64 million, up 1.8% year-over-year; for FY2010, it came in at $155.99 million, up 2.6% from FY2009.
- In prior years, Prologis' Real Estate Taxes and Insurance was $152.05 million in FY2009.
- The Q1 2011 figure stands as the highest quarterly Real Estate Taxes and Insurance in data going back to Q2 2009.
- On a year-over-year basis, Real Estate Taxes and Insurance increased in three of the last four quarters, with growth averaging 1.7%.
- According to Business Quant data, Real Estate Taxes and Insurance for the three prior quarters was $36.22 million (Q4 2010), $40.29 million (Q3 2010) and $40.52 million (Q2 2010).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.53 Bn | 26.31 Bn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | 41.61 Mn |
| Dec 31, 2010 | 36.22 Mn |
| Sep 30, 2010 | 40.29 Mn |
| Jun 30, 2010 | 40.52 Mn |
| Mar 31, 2010 | 40.05 Mn |
| Dec 31, 2009 | 37.62 Mn |
| Sep 30, 2009 | 38.82 Mn |
| Jun 30, 2009 | 39.42 Mn |
| Mar 31, 2009 | -19.34 Mn |
Prologis Real Estate Taxes and Insurance 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=real-estate-taxes-and-insurance&ticker=PLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-taxes-and-insurance", "ticker": "PLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=real-estate-taxes-and-insurance&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();