American Homes 4 Rent (AMH) Change in Accrued Expenses (2013 - 2026)
Analysis
American Homes 4 Rent (AMH) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn | - |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - | 187.04 Mn |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - | -301.36 Mn |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - | 144.79 Mn |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - | 130.70 Mn |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - | -25.21 Mn |
| 10 | American Homes 4 Rent | 11.47 Bn | 11.84 Bn | - | 63.04 Mn |
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_KEY
import 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();