Alexanders (ALX) Non Operating Interest Expenses (2010 - 2026)
Alexanders' Non Operating Interest Expenses was $10.8 million in Q2 2026, down 15.7% from $12.8 million a year earlier but up 0.6% from the prior quarter.
Alexanders (ALX) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alexanders' Non Operating Interest Expenses was $49.55 million through Jun 30, 2026, down 8.2% year-over-year; for FY2025, it was $51.62 million, down 17.8% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $62.82 million in FY2024 (+7.8%), $58.3 million in FY2023 (+103.8%), $28.6 million in FY2022 (+45.3%) and $19.69 million in FY2021 (-18.7%).
- Quarterly Non Operating Interest Expenses has moved between $4.34 million (Q4 2021) and $19.26 million (Q3 2024) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last eight quarters, with an average decline of 10.8%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 177.5%); the worst was Q1 2025 (a decline of 33.5%).
- Per Business Quant data, ALX's Non Operating Interest Expenses in the three quarters before Q2 2026 was $10.73 million (Q1 2026), $13.95 million (Q4 2025) and $14.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Alexanders | 1.26 Bn | 464.11 Mn | - | 10.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.80 Mn |
| Mar 31, 2026 | 10.73 Mn |
| Dec 31, 2025 | 13.95 Mn |
| Sep 30, 2025 | 14.08 Mn |
| Jun 30, 2025 | 12.80 Mn |
| Mar 31, 2025 | 10.79 Mn |
| Dec 31, 2024 | 11.10 Mn |
| Sep 30, 2024 | 19.26 Mn |
| Jun 30, 2024 | 16.22 Mn |
| Mar 31, 2024 | 16.23 Mn |
| Dec 31, 2023 | 16.67 Mn |
| Sep 30, 2023 | 16.18 Mn |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | 12.25 Mn |
| Dec 31, 2022 | 10.68 Mn |
| Sep 30, 2022 | 8.03 Mn |
| Jun 30, 2022 | 5.48 Mn |
| Mar 31, 2022 | 4.42 Mn |
| Dec 31, 2021 | 4.34 Mn |
| Sep 30, 2021 | 5.12 Mn |
Alexanders Non Operating Interest 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=non-operating-interest-expenses&ticker=ALX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();