American Homes 4 Rent (AMH) Real Estate, at Cost (2012 - 2026)
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Analysis
American Homes 4 Rent (AMH) Real Estate, at Cost (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.67 Bn |
| Mar 31, 2026 | 14.48 Bn |
| Dec 31, 2025 | 14.38 Bn |
| Sep 30, 2025 | 14.33 Bn |
| Jun 30, 2025 | 14.17 Bn |
| Mar 31, 2025 | 14.07 Bn |
| Dec 31, 2024 | 13.93 Bn |
| Sep 30, 2024 | 13.36 Bn |
| Jun 30, 2024 | 13.19 Bn |
| Mar 31, 2024 | 13.02 Bn |
| Dec 31, 2023 | 12.89 Bn |
| Sep 30, 2023 | 12.77 Bn |
| Jun 30, 2023 | 12.56 Bn |
| Mar 31, 2023 | 12.38 Bn |
| Dec 31, 2022 | 12.33 Bn |
| Sep 30, 2022 | 12.22 Bn |
| Jun 30, 2022 | 12.07 Bn |
| Mar 31, 2022 | 11.71 Bn |
| Dec 31, 2021 | 11.32 Bn |
| Sep 30, 2021 | 10.95 Bn |
API Access
American Homes 4 Rent Real Estate, at Cost 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=real-estate-at-cost&ticker=AMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-at-cost", "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=real-estate-at-cost&ticker=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();