Agree Realty (ADC) Property, Plant & Equipment (Net) (2011 - 2018)
Agree Realty's Property, Plant & Equipment (Net) was $1.65 billion in Q4 2018, up 38.7% from $1.19 billion a year earlier and up 16.3% from the prior quarter.
Agree Realty (ADC) Property, Plant & Equipment (Net) (2011 - 2018) Analysis & Trends
From Q4 2011 onward, Agree Realty has reported Property, Plant & Equipment (Net) for 28 quarters.
- Property, Plant & Equipment (Net) has now increased for seven consecutive years, with a five-year compound annual growth rate of 32.8% (FY2013 to FY2018).
- In earlier years, Property, Plant & Equipment (Net) was $1.19 billion in FY2017 (+26.0%), $943.5 million in FY2016 (+35.6%), $695.79 million in FY2015 (+31.3%) and $529.83 million in FY2014 (+32.8%).
- The Q4 2018 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2011.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 23 straight quarters, with growth averaging 28.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 18.1% (Q3 2014) to 46.3% (Q2 2015).
- Per Business Quant data, ADC's Property, Plant & Equipment (Net) in the three quarters before Q4 2018 was $1.42 billion (Q3 2018), $1.31 billion (Q2 2018) and $1.26 billion (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 61.27 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Agree Realty | 8.20 Bn | 8.13 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.65 Bn |
| Sep 30, 2018 | 1.42 Bn |
| Jun 30, 2018 | 1.31 Bn |
| Mar 31, 2018 | 1.26 Bn |
| Dec 31, 2017 | 1.19 Bn |
| Sep 30, 2017 | 1.11 Bn |
| Jun 30, 2017 | 1.07 Bn |
| Mar 31, 2017 | 983.88 Mn |
| Dec 31, 2016 | 943.50 Mn |
| Sep 30, 2016 | 892.04 Mn |
| Jun 30, 2016 | 850.21 Mn |
| Mar 31, 2016 | 730.38 Mn |
| Dec 31, 2015 | 695.79 Mn |
| Sep 30, 2015 | 645.39 Mn |
| Jun 30, 2015 | 627.62 Mn |
| Mar 31, 2015 | 576.63 Mn |
| Dec 31, 2014 | 529.83 Mn |
| Sep 30, 2014 | 459.58 Mn |
| Jun 30, 2014 | 428.99 Mn |
| Mar 31, 2014 | 418.78 Mn |
Agree Realty Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=ADC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ADC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=ADC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();