Alexanders (ALX) Operating Expenses (2010 - 2026)
Alexanders (ALX) recorded Operating Expenses of $38.24 million in Q2 2026, up 4.5% from $36.6 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Alexanders (ALX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Alexanders' Operating Expenses came in at $153.35 million as of Jun 30, 2026, up 5.9% year-over-year; for FY2025, it was $147.99 million, up 2.4% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $144.54 million in FY2024 (+2.9%), $140.45 million in FY2023 (+11.2%), $126.35 million in FY2022 (-2.8%) and $129.95 million in FY2021 (+2.3%).
- Quarterly Operating Expenses has ranged from $30.36 million in Q1 2022 to $39.47 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 13.4% in Q2 2023, against a decline of 11.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.47 million (Q1 2026), $38.58 million (Q4 2025) and $37.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Alexanders | 1.27 Bn | 477.75 Mn | - | 38.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.24 Mn |
| Mar 31, 2026 | 39.47 Mn |
| Dec 31, 2025 | 38.58 Mn |
| Sep 30, 2025 | 37.06 Mn |
| Jun 30, 2025 | 36.60 Mn |
| Mar 31, 2025 | 35.75 Mn |
| Dec 31, 2024 | 36.64 Mn |
| Sep 30, 2024 | 35.84 Mn |
| Jun 30, 2024 | 35.85 Mn |
| Mar 31, 2024 | 36.22 Mn |
| Dec 31, 2023 | 36.76 Mn |
| Sep 30, 2023 | 35.11 Mn |
| Jun 30, 2023 | 34.81 Mn |
| Mar 31, 2023 | 33.78 Mn |
| Dec 31, 2022 | 32.68 Mn |
| Sep 30, 2022 | 32.61 Mn |
| Jun 30, 2022 | 30.70 Mn |
| Mar 31, 2022 | 30.36 Mn |
| Dec 31, 2021 | 30.98 Mn |
| Sep 30, 2021 | 31.71 Mn |
API Access
Alexanders 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=ALX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALX", "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=ALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();