American Homes 4 Rent (AMH) Total Revenue (2012 - 2020)
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Analysis
American Homes 4 Rent (AMH) Total Revenue (2012 - 2020) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 299.34 Mn |
| Sep 30, 2020 | 310.81 Mn |
| Mar 31, 2020 | 289.59 Mn |
| Dec 31, 2019 | 284.01 Mn |
| Sep 30, 2019 | 298.30 Mn |
| Jun 30, 2019 | 281.86 Mn |
| Mar 31, 2019 | 279.20 Mn |
| Dec 31, 2018 | 270.32 Mn |
| Sep 30, 2018 | 280.05 Mn |
| Jun 30, 2018 | 264.48 Mn |
| Mar 31, 2018 | 258.00 Mn |
| Dec 31, 2017 | 242.80 Mn |
| Sep 30, 2017 | 246.84 Mn |
| Jun 30, 2017 | 237.01 Mn |
| Mar 31, 2017 | 233.75 Mn |
| Dec 31, 2016 | 227.56 Mn |
| Sep 30, 2016 | 236.06 Mn |
| Jun 30, 2016 | 220.31 Mn |
| Mar 31, 2016 | 194.96 Mn |
| Dec 31, 2015 | 172.59 Mn |
API Access
American Homes 4 Rent Total Revenue 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=total-revenue&ticker=AMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-revenue", "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=total-revenue&ticker=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();