American Homes 4 Rent (AMH) Change in Accured Expenses (2013 - 2026)
American Homes 4 Rent's Change in Accured Expenses came in at $63.04 million for Q2 2026, down 11.1% from $70.91 million a year earlier but up 532.9% from the prior quarter.
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Analysis
American Homes 4 Rent (AMH) Change in Accured Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American Homes 4 Rent reported Change in Accured Expenses of $10.35 million, down 67.7% year-over-year; for FY2025, it was $18.16 million, down 47.2% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $34.36 million in FY2024 (-22.4%), $44.26 million in FY2023 (+1.5%), $43.62 million in FY2022 (-2.0%) and $44.51 million in FY2021 (+213.6%).
- The five-year range for quarterly Change in Accured Expenses is -$91.43 million (Q4 2024) to $70.91 million (Q2 2025).
- Year-over-year, Change in Accured Expenses increased in three of the last six quarters, with an average decline of 19.6%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2023 (growth of 112.8%), and the weakest in Q3 2025 (a decline of 69.1%).
- Business Quant data shows AMH's Change in Accured Expenses at $9.96 million (Q1 2026), -$75.85 million (Q4 2025) and $13.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | American Homes 4 Rent | 10.88 Bn | 11.55 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 Accured 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-accured-expenses&ticker=AMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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-accured-expenses&ticker=AMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();