American Homes 4 Rent (AMH) Buildings and Improvements (2013 - 2026)
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Analysis
American Homes 4 Rent (AMH) Buildings and Improvements (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.22 Bn |
| Mar 31, 2026 | 12.06 Bn |
| Dec 31, 2025 | 11.97 Bn |
| Sep 30, 2025 | 11.93 Bn |
| Jun 30, 2025 | 11.78 Bn |
| Mar 31, 2025 | 11.69 Bn |
| Dec 31, 2024 | 11.56 Bn |
| Sep 30, 2024 | 11.08 Bn |
| Jun 30, 2024 | 10.93 Bn |
| Mar 31, 2024 | 10.78 Bn |
| Dec 31, 2023 | 10.65 Bn |
| Sep 30, 2023 | 10.55 Bn |
| Jun 30, 2023 | 10.35 Bn |
| Mar 31, 2023 | 10.19 Bn |
| Dec 31, 2022 | 10.13 Bn |
| Sep 30, 2022 | 10.02 Bn |
| Jun 30, 2022 | 9.89 Bn |
| Mar 31, 2022 | 9.58 Bn |
| Dec 31, 2021 | 9.26 Bn |
| Sep 30, 2021 | 8.95 Bn |
API Access
American Homes 4 Rent Buildings and Improvements 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=buildings-and-improvements&ticker=AMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings-and-improvements", "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=buildings-and-improvements&ticker=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();