American Assets Trust (AAT) Operating Expenses (2010 - 2026)
American Assets Trust (AAT) posted Operating Expenses of $83.18 million for Q2 2026, up 1.5% from $81.96 million a year earlier.
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Analysis
American Assets Trust (AAT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at American Assets Trust was $336.82 million, up 1.6% year-over-year; for FY2025, it came in at $334.75 million, up 1.9% from FY2024.
- Annual Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, American Assets Trust's Operating Expenses was $328.66 million in FY2024 (+2.9%), $319.42 million in FY2023 (+3.7%), $307.91 million in FY2022 (+11.6%) and $275.96 million in FY2021 (+7.8%).
- Quarterly Operating Expenses has run from a low of $70.62 million in Q3 2021 to a high of $86.87 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last seven quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 17.1%; the weakest was Q3 2025, with a decline of 0.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | American Assets Trust | 1.30 Bn | 1.24 Bn | - | 83.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.18 Mn |
| Dec 31, 2025 | 86.87 Mn |
| Sep 30, 2025 | 84.81 Mn |
| Jun 30, 2025 | 81.96 Mn |
| Mar 31, 2025 | 81.11 Mn |
| Dec 31, 2024 | 83.41 Mn |
| Sep 30, 2024 | 85.00 Mn |
| Jun 30, 2024 | 80.10 Mn |
| Mar 31, 2024 | 80.15 Mn |
| Dec 31, 2023 | 83.09 Mn |
| Sep 30, 2023 | 80.06 Mn |
| Jun 30, 2023 | 78.23 Mn |
| Mar 31, 2023 | 78.04 Mn |
| Dec 31, 2022 | 78.93 Mn |
| Sep 30, 2022 | 80.02 Mn |
| Jun 30, 2022 | 75.84 Mn |
| Mar 31, 2022 | 73.13 Mn |
| Dec 31, 2021 | 76.03 Mn |
| Sep 30, 2021 | 70.62 Mn |
| Jun 30, 2021 | 65.39 Mn |
API Access
American Assets Trust 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=operating-expenses&ticker=AAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=AAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();