American Homes 4 Rent (AMH) Property Operating Expenses (2012 - 2018)
Analysis
American Homes 4 Rent (AMH) Property Operating Expenses (2012 - 2018) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 100.99 Mn |
| Dec 31, 2017 | 87.87 Mn |
| Sep 30, 2017 | 97.94 Mn |
| Jun 30, 2017 | 85.95 Mn |
| Mar 31, 2017 | 83.31 Mn |
| Dec 31, 2016 | 78.32 Mn |
| Sep 30, 2016 | 92.49 Mn |
| Jun 30, 2016 | 77.89 Mn |
| Mar 31, 2016 | 68.61 Mn |
| Dec 31, 2015 | 17.28 Mn |
| Sep 30, 2015 | 85.05 Mn |
| Jun 30, 2015 | 71.44 Mn |
| Mar 31, 2015 | 59.21 Mn |
| Dec 31, 2014 | 67.67 Mn |
| Sep 30, 2014 | 50.58 Mn |
| Jun 30, 2014 | 37.30 Mn |
| Mar 31, 2014 | 29.27 Mn |
| Dec 31, 2013 | 24.47 Mn |
| Sep 30, 2013 | 17.58 Mn |
| Jun 30, 2013 | 6.86 Mn |
API Access
American Homes 4 Rent 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=AMH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "AMH", "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=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();