Whitestone REIT (WSR) Operating Expenses (2010 - 2026)
Whitestone REIT's Operating Expenses came in at $28.47 million for Q1 2026, up 9.4% from $26.03 million a year earlier but down 4.3% from the prior quarter.
Whitestone REIT (WSR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Whitestone REIT reported Operating Expenses of $109.72 million, up 5.0% year-over-year; for FY2025, it came in at $107.28 million, up 3.1% from FY2024.
- Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $104.06 million in FY2024 (+4.5%), $99.58 million in FY2023 (+7.0%), $93.07 million in FY2022 (+2.4%) and $90.9 million in FY2021 (+3.1%).
- The five-year range for quarterly Operating Expenses is $21.05 million (Q1 2022) to $29.75 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 268.5%), and the weakest in Q4 2021 (a decline of 63.9%).
- Business Quant data shows WSR's Operating Expenses at $29.75 million (Q4 2025), $26.93 million (Q3 2025) and $24.58 million (Q2 2025) in the three quarters before Q1 2026.
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 | Whitestone REIT | 975.97 Mn | 981.82 Mn | - | 28.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 28.47 Mn |
| Dec 31, 2025 | 29.75 Mn |
| Sep 30, 2025 | 26.93 Mn |
| Jun 30, 2025 | 24.58 Mn |
| Mar 31, 2025 | 26.03 Mn |
| Dec 31, 2024 | 26.55 Mn |
| Sep 30, 2024 | 25.94 Mn |
| Jun 30, 2024 | 26.00 Mn |
| Mar 31, 2024 | 25.57 Mn |
| Dec 31, 2023 | 25.38 Mn |
| Sep 30, 2023 | 25.28 Mn |
| Jun 30, 2023 | 25.20 Mn |
| Mar 31, 2023 | 23.72 Mn |
| Dec 31, 2022 | 23.22 Mn |
| Sep 30, 2022 | 24.55 Mn |
| Jun 30, 2022 | 24.24 Mn |
| Mar 31, 2022 | 21.05 Mn |
| Dec 31, 2021 | 24.54 Mn |
| Sep 30, 2021 | 23.39 Mn |
| Jun 30, 2021 | 21.44 Mn |
Whitestone REIT 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=WSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WSR", "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=WSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();