AH Realty Trust (AHRT) Property Operating Expenses (2012 - 2026)
AH Realty Trust (AHRT) posted Property Operating Expenses of $12.44 million for Q2 2026, up 11.8% from $11.13 million a year earlier but down 3.2% from the prior quarter.
AH Realty Trust (AHRT) Property Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Property Operating Expenses at AH Realty Trust was $51.24 million, up 10.9% year-over-year; for FY2025, it came in at $48.44 million, up 6.5% from FY2024.
- Annual Property Operating Expenses shows a five-year compound annual growth rate of -25.4% (FY2020 to FY2025).
- In prior years, AH Realty Trust's Property Operating Expenses was $45.48 million in FY2024 (-19.4%), $56.42 million in FY2023 (-75.2%), $227.16 million in FY2022 (+157.8%) and $88.1 million in FY2021 (-57.9%).
- Quarterly Property Operating Expenses has run from a low of -$219.92 million in Q4 2023 to a high of $99.07 million in Q2 2023 over five years.
- On a year-over-year basis, Property Operating Expenses has increased in each of the last six quarters, with an average decline of 5.3% over the last seven quarters.
- The strongest year-over-year quarter for Property Operating Expenses in the past five years was Q4 2022, with growth of 374.3%; the weakest was Q2 2024, with a decline of 89.0%.
- According to Business Quant data, Property Operating Expenses for the three prior quarters was $12.86 million (Q1 2026), $12.58 million (Q4 2025) and $13.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 511.72 Mn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 171.44 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 333.19 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 122.39 Mn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 142.75 Mn |
| 10 | AH Realty Trust | 474.56 Mn | 357.39 Mn | - | 12.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.40 Mn |
| Jun 30, 2026 | 12.44 Mn |
| Mar 31, 2026 | 12.86 Mn |
| Dec 31, 2025 | 12.58 Mn |
| Sep 30, 2025 | 13.37 Mn |
| Jun 30, 2025 | 11.13 Mn |
| Mar 31, 2025 | 11.37 Mn |
| Dec 31, 2024 | 11.54 Mn |
| Sep 30, 2024 | 12.18 Mn |
| Jun 30, 2024 | 10.92 Mn |
| Mar 31, 2024 | 10.84 Mn |
| Dec 31, 2023 | -219.92 Mn |
| Sep 30, 2023 | 96.10 Mn |
| Jun 30, 2023 | 99.07 Mn |
| Mar 31, 2023 | 81.17 Mn |
| Dec 31, 2022 | 93.67 Mn |
| Sep 30, 2022 | 66.25 Mn |
| Jun 30, 2022 | 43.42 Mn |
| Mar 31, 2022 | 23.82 Mn |
| Dec 31, 2021 | 19.75 Mn |
AH Realty Trust Property 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=property-operating-expenses&ticker=AHRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "AHRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=AHRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();