American Homes 4 Rent (AMH) Change in Accrued Expenses (2013 - 2026)
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Analysis
American Homes 4 Rent (AMH) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.04 Mn |
| Mar 31, 2026 | 9.96 Mn |
| Dec 31, 2025 | -75.85 Mn |
| Sep 30, 2025 | 13.19 Mn |
| Jun 30, 2025 | 70.91 Mn |
| Mar 31, 2025 | 9.91 Mn |
| Dec 31, 2024 | -91.43 Mn |
| Sep 30, 2024 | 42.65 Mn |
| Jun 30, 2024 | 60.22 Mn |
| Mar 31, 2024 | 22.92 Mn |
| Dec 31, 2023 | -60.41 Mn |
| Sep 30, 2023 | 42.16 Mn |
| Jun 30, 2023 | 38.59 Mn |
| Mar 31, 2023 | 23.93 Mn |
| Dec 31, 2022 | -90.62 Mn |
| Sep 30, 2022 | 60.35 Mn |
| Jun 30, 2022 | 62.64 Mn |
| Mar 31, 2022 | 11.25 Mn |
| Dec 31, 2021 | -50.96 Mn |
| Sep 30, 2021 | 29.13 Mn |
API Access
American Homes 4 Rent Change in Accrued 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=change-in-accrued-expenses&ticker=AMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-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=change-in-accrued-expenses&ticker=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();