American Homes 4 Rent (AMH) Interest Expense (2013 - 2026)
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Analysis
American Homes 4 Rent (AMH) Interest Expense (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -49.53 Mn |
| Mar 31, 2026 | -48.22 Mn |
| Dec 31, 2025 | -45.27 Mn |
| Sep 30, 2025 | -48.20 Mn |
| Jun 30, 2025 | -46.30 Mn |
| Mar 31, 2025 | -45.43 Mn |
| Dec 31, 2024 | 286.22 Mn |
| Sep 30, 2024 | -43.61 Mn |
| Jun 30, 2024 | -38.68 Mn |
| Mar 31, 2024 | -38.58 Mn |
| Dec 31, 2023 | 35.09 Mn |
| Sep 30, 2023 | 34.38 Mn |
| Jun 30, 2023 | 34.84 Mn |
| Mar 31, 2023 | 35.88 Mn |
| Dec 31, 2022 | 36.25 Mn |
| Sep 30, 2022 | 36.25 Mn |
| Jun 30, 2022 | 34.80 Mn |
| Mar 31, 2022 | 27.57 Mn |
| Dec 31, 2021 | 28.26 Mn |
| Sep 30, 2021 | 31.10 Mn |
API Access
American Homes 4 Rent Interest Expense 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=interest-expense&ticker=AMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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=interest-expense&ticker=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();