Agree Realty (ADC) Amortizatization of Intangibles (2010 - 2018)
Agree Realty (ADC) posted Amortizatization of Intangibles of $5.06 million for Q4 2018, up 41.6% from $3.58 million a year earlier and up 1.2% from the prior quarter.
Agree Realty (ADC) Amortizatization of Intangibles (2010 - 2018) Analysis & Trends
For FY2018, Agree Realty's Amortizatization of Intangibles came in at $19 million, up 56.2% from FY2017.
- Annual Amortizatization of Intangibles has increased for nine consecutive years, with a five-year compound annual growth rate of 61.2% (FY2013 to FY2018).
- In prior years, Agree Realty's Amortizatization of Intangibles was $12.17 million in FY2017 (+49.6%), $8.13 million in FY2016 (+64.1%), $4.96 million in FY2015 (+89.4%) and $2.62 million in FY2014 (+49.8%).
- The Q4 2018 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to Q3 2010.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last 12 quarters, with growth averaging 53.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Amortizatization of Intangibles ran from 8.2% in Q2 2014 to 108.2% in Q4 2016.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $5 million (Q3 2018), $4.6 million (Q2 2018) and $4.33 million (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 11.09 Mn |
| 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 | - |
| 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 | 5.06 Mn |
| Sep 30, 2018 | 5.00 Mn |
| Jun 30, 2018 | 4.60 Mn |
| Mar 31, 2018 | 4.33 Mn |
| Dec 31, 2017 | 3.58 Mn |
| Sep 30, 2017 | 3.10 Mn |
| Jun 30, 2017 | 2.98 Mn |
| Mar 31, 2017 | 2.52 Mn |
| Dec 31, 2016 | 2.19 Mn |
| Sep 30, 2016 | 2.19 Mn |
| Jun 30, 2016 | 2.05 Mn |
| Mar 31, 2016 | 1.71 Mn |
| Dec 31, 2015 | 1.05 Mn |
| Sep 30, 2015 | 1.52 Mn |
| Jun 30, 2015 | 1.29 Mn |
| Mar 31, 2015 | 1.09 Mn |
| Dec 31, 2014 | 24,774.00 |
| Sep 30, 2014 | 1.12 Mn |
| Jun 30, 2014 | 746,506.00 |
| Mar 31, 2014 | 728,834.00 |
Agree Realty Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=ADC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=ADC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();