Prologis (PLD) Loans - Net (2010 - 2017)
Prologis' (PLD) quarterly Loans - Net came in at $34.3 million in Q4 2017, up 6.73% on a YoY basis from $32.1 million in Q4 2016, and up 75.37% quarter-over-quarter from $19.5 million in Q2 2017.
Prologis (PLD) Loans - Net (2010 - 2017) Analysis & Trends
Prologis (PLD) has reported Loans - Net for 6 consecutive years, with $34.3 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Loans - Net rose 6.73% year-over-year to $34.3 million; the trailing twelve-month figure through Dec 2017 stood at $34.3 million (up 6.73% YoY), and the FY2017 full-year result was $34.3 million, up 6.73% from the prior year.
- Loans - Net grew to $34.3 million in Q4 2017 per PLD's latest filing, from $19.5 million in the prior quarter.
- Across five years, Loans - Net topped out at $235.0 million in Q4 2015 and bottomed at $17.0 million in Q1 2017.
- Historically, Loans - Net has averaged $94.1 million across 3 years, with a median of $34.3 million in 2017.
- The sharpest annual moves came in 2016 and 2017: Loans - Net slumped 86.34% in 2016, then advanced 6.73% in 2017.
- Over 3 years, Loans - Net stood at $235.0 million in 2015, then plunged by 86.34% to $32.1 million in 2016, then rose by 6.73% to $34.3 million in 2017.
- According to Business Quant data, Loans - Net over the past three periods registered $34.3 million, $19.5 million, and $17.0 million for Q4 2017, Q2 2017, and Q1 2017 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | - |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | - |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | - |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | - |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 19.28 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | - |
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 |
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_KEY
import 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();