Prologis (PLD) Loans - Net (2010 - 2017)
Prologis' Loans - Net came in at $34.26 million for Q4 2017, up 6.7% from $32.1 million a year earlier.
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Analysis
Prologis (PLD) Loans - Net (2010 - 2017) Analysis & Trends
Going back to Q2 2010, Prologis' Loans - Net data covers 18 quarters.
- Going back by year, Loans - Net was $32.1 million in FY2016 (-86.3%) and $235.05 million in FY2015.
- The Q4 2017 figure represents the highest quarterly Loans - Net since Q1 2016.
- Year-over-year, Loans - Net increased in 1 of the last seven quarters, with an average decline of 60.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.67 Bn | 146.16 Bn | 1.39 Bn | 2.95 Bn |
| 2 | Prologis | 123.63 Bn | 118.68 Bn | - | - |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | - |
| 4 | Realty Income | 51.46 Bn | 49.68 Bn | - | - |
| 5 | Public Storage | 50.61 Bn | 49.60 Bn | - | 173.30 Mn |
| 6 | Ventas | 41.19 Bn | 39.87 Bn | - | - |
| 7 | Extra Space Storage | 28.16 Bn | 28.16 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.94 Bn | 23.05 Bn | 1.05 Bn | 22.20 Bn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | - |
| 10 | Essex Property Trust | 17.33 Bn | 17.09 Bn | - | 96.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 34.26 Mn |
| Jun 30, 2017 | 19.54 Mn |
| Mar 31, 2017 | 17.01 Mn |
| Dec 31, 2016 | 32.10 Mn |
| Sep 30, 2016 | 33.80 Mn |
| Jun 30, 2016 | 33.80 Mn |
| Mar 31, 2016 | 37.55 Mn |
| Dec 31, 2015 | 235.05 Mn |
| Sep 30, 2015 | 197.50 Mn |
| Jun 30, 2015 | 197.50 Mn |
| Mar 31, 2015 | 197.50 Mn |
| Jun 30, 2012 | 245.65 Mn |
| Mar 31, 2012 | 247.24 Mn |
| Dec 31, 2011 | 322.83 Mn |
| Sep 30, 2011 | 354.25 Mn |
| Jun 30, 2011 | 359.23 Mn |
| Dec 31, 2010 | 302.14 Mn |
| Jun 30, 2010 | 302.14 Mn |
API Access
Prologis Loans - Net 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=loans-net&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();