Udr (UDR) Operating Expenses (2009 - 2026)
Udr (UDR) posted Operating Expenses of $345.25 million for Q2 2026, down 0.8% from $348.01 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Udr (UDR) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Udr was $1.4 billion, up 0.2% year-over-year; for FY2025, it was $1.4 billion, down 0.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Udr's Operating Expenses was $1.4 billion in FY2024 (+4.5%), $1.34 billion in FY2023 (+4.0%), $1.29 billion in FY2022 (+11.5%) and $1.16 billion in FY2021 (+4.3%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2023.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 15.6%; the weakest was Q4 2025, with a decline of 1.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $353.46 million (Q1 2026), $350.41 million (Q4 2025) and $355.51 million (Q3 2025).
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 | Udr | 10.77 Bn | 11.67 Bn | - | 345.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 345.25 Mn |
| Mar 31, 2026 | 353.46 Mn |
| Dec 31, 2025 | 350.41 Mn |
| Sep 30, 2025 | 355.51 Mn |
| Jun 30, 2025 | 348.01 Mn |
| Mar 31, 2025 | 347.69 Mn |
| Dec 31, 2024 | 356.44 Mn |
| Sep 30, 2024 | 350.30 Mn |
| Jun 30, 2024 | 346.65 Mn |
| Mar 31, 2024 | 350.74 Mn |
| Dec 31, 2023 | 344.33 Mn |
| Sep 30, 2023 | 332.06 Mn |
| Jun 30, 2023 | 333.93 Mn |
| Mar 31, 2023 | 333.37 Mn |
| Dec 31, 2022 | 335.88 Mn |
| Sep 30, 2022 | 328.38 Mn |
| Jun 30, 2022 | 318.43 Mn |
| Mar 31, 2022 | 309.38 Mn |
| Dec 31, 2021 | 309.49 Mn |
| Sep 30, 2021 | 296.60 Mn |
API Access
Udr 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=UDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UDR", "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=UDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();