Agree Realty Corp (ADC-PA) Property Operating Expenses (2010 - 2019)
Agree Realty's Property Operating Expenses was $1.74 million in Q1 2019, up 14.7% from $1.52 million a year earlier and unchanged from the prior quarter.
Agree Realty Corp (ADC-PA) Property Operating Expenses (2010 - 2019) Analysis & Trends
On a trailing twelve-month basis, Agree Realty's Property Operating Expenses was $5.96 million through Mar 31, 2019, up 37.7% year-over-year; for FY2018, it came in at $5.65 million, up 56.4% from FY2017.
- Property Operating Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 36.5% (FY2013 to FY2018).
- In earlier years, Property Operating Expenses was $3.61 million in FY2017 (+45.3%), $2.48 million in FY2016 (+40.5%), $1.77 million in FY2015 (+5.3%) and $1.68 million in FY2014 (+40.8%).
- Compared with a year earlier, Property Operating Expenses has increased for seven straight quarters, with growth averaging 90.2% over the last eight quarters.
- The best year-over-year quarter for Property Operating Expenses over five years was Q3 2017 (growth of 450.9%); the worst was Q3 2016 (a decline of 60.1%).
- Per Business Quant data, ADC-PA's Property Operating Expenses in the three quarters before Q1 2019 was $1.74 million (Q4 2018), $1.25 million (Q3 2018) and $1.24 million (Q2 2018).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.74 Mn |
| Dec 31, 2018 | 1.74 Mn |
| Sep 30, 2018 | 1.25 Mn |
| Jun 30, 2018 | 1.24 Mn |
| Mar 31, 2018 | 1.52 Mn |
| Dec 31, 2017 | 969,000.00 |
| Sep 30, 2017 | 931,000.00 |
| Jun 30, 2017 | 915,000.00 |
| Mar 31, 2017 | 797,000.00 |
| Dec 31, 2016 | 815,000.00 |
| Sep 30, 2016 | 169,000.00 |
| Jun 30, 2016 | 929,000.00 |
| Mar 31, 2016 | 573,000.00 |
| Dec 31, 2015 | 357,000.00 |
| Sep 30, 2015 | 424,000.00 |
| Jun 30, 2015 | 415,707.00 |
| Mar 31, 2015 | 571,390.00 |
| Dec 31, 2014 | 384,369.00 |
| Sep 30, 2014 | 337,811.00 |
| Jun 30, 2014 | 458,294.00 |
Agree Realty Corp Property Operating Expenses 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-operating-expenses&ticker=ADC-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "ADC-PA", "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-operating-expenses&ticker=ADC-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();