American Homes 4 Rent (AMH) Total Operating Expenses (2012 - 2026)
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Analysis
American Homes 4 Rent (AMH) Total Operating Expenses (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 397.77 Mn |
| Mar 31, 2026 | 401.95 Mn |
| Dec 31, 2025 | 384.36 Mn |
| Sep 30, 2025 | 414.01 Mn |
| Jun 30, 2025 | 390.41 Mn |
| Mar 31, 2025 | 394.80 Mn |
| Dec 31, 2024 | 379.57 Mn |
| Sep 30, 2024 | 393.06 Mn |
| Jun 30, 2024 | 362.76 Mn |
| Mar 31, 2024 | 366.84 Mn |
| Dec 31, 2023 | 347.52 Mn |
| Sep 30, 2023 | 368.81 Mn |
| Jun 30, 2023 | 345.37 Mn |
| Mar 31, 2023 | 349.40 Mn |
| Dec 31, 2022 | 334.64 Mn |
| Sep 30, 2022 | 354.98 Mn |
| Jun 30, 2022 | 323.76 Mn |
| Mar 31, 2022 | 310.45 Mn |
| Dec 31, 2021 | 292.31 Mn |
| Sep 30, 2021 | 300.77 Mn |
API Access
American Homes 4 Rent Total Operating 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=total-operating-expenses&ticker=AMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-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=total-operating-expenses&ticker=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();