Udr (UDR) Real Estate Taxes and Insurance (2009 - 2026)
Udr's Real Estate Taxes and Insurance came in at $57 million for Q3 2026, down 1.4% from $57.79 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Udr (UDR) Real Estate Taxes and Insurance (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Udr reported Real Estate Taxes and Insurance of $233.99 million, up 1.4% year-over-year; for FY2025, it came in at $233.82 million, up 0.7% from FY2024.
- Real Estate Taxes and Insurance carries a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Real Estate Taxes and Insurance was $232.13 million in FY2024 (unchanged), $232.15 million in FY2023 (+4.7%), $221.66 million in FY2022 (+11.1%) and $199.45 million in FY2021 (+10.5%).
- The five-year range for quarterly Real Estate Taxes and Insurance is $51.4 million (Q4 2021) to $60.28 million (Q4 2025).
- Year-over-year, Real Estate Taxes and Insurance increased in three of the last eight quarters, with growth averaging 0.1%.
- The fastest year-over-year change in Real Estate Taxes and Insurance over five years came in Q1 2022 (growth of 13.5%), and the weakest in Q2 2025 (a decline of 3.2%).
- Business Quant data shows UDR's Real Estate Taxes and Insurance at $56.85 million (Q2 2026), $59.86 million (Q1 2026) and $60.28 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - |
| 10 | Udr | 11.76 Bn | 11.75 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.00 Mn |
| Jun 30, 2026 | 56.85 Mn |
| Mar 31, 2026 | 59.86 Mn |
| Dec 31, 2025 | 60.28 Mn |
| Sep 30, 2025 | 57.79 Mn |
| Jun 30, 2025 | 57.01 Mn |
| Mar 31, 2025 | 58.75 Mn |
| Dec 31, 2024 | 57.27 Mn |
| Sep 30, 2024 | 57.18 Mn |
| Jun 30, 2024 | 58.88 Mn |
| Mar 31, 2024 | 58.80 Mn |
| Dec 31, 2023 | 58.56 Mn |
| Sep 30, 2023 | 58.10 Mn |
| Jun 30, 2023 | 57.52 Mn |
| Mar 31, 2023 | 57.97 Mn |
| Dec 31, 2022 | 56.87 Mn |
| Sep 30, 2022 | 58.24 Mn |
| Jun 30, 2022 | 52.79 Mn |
| Mar 31, 2022 | 53.76 Mn |
| Dec 31, 2021 | 51.40 Mn |
API Access
Udr Real Estate Taxes and Insurance 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=real-estate-taxes-and-insurance&ticker=UDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-taxes-and-insurance", "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=real-estate-taxes-and-insurance&ticker=UDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();