Cedar Realty Trust (CDR-PB) Operating Expenses (2010 - 2026)
Cedar Realty Trust's Operating Expenses came in at $4.31 million for Q2 2026, down 19.4% from $5.35 million a year earlier and down 13.1% from the prior quarter.
Powered by 
Analysis
Cedar Realty Trust (CDR-PB) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cedar Realty Trust reported Operating Expenses of $19.19 million, down 16.0% year-over-year; for FY2025, it was $20.95 million, down 13.8% from FY2024.
- Operating Expenses has declined in each of the last six years, with a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $24.31 million in FY2024 (-10.8%), $27.26 million in FY2023 (-20.1%), $34.1 million in FY2022 (-22.2%) and $43.84 million in FY2021 (-2.0%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2020.
- Year-over-year, Operating Expenses has declined for ten consecutive quarters, with an average decline of 13.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 44.5%), and the weakest in Q1 2022 (a decline of 69.0%).
- Business Quant data shows CDR-PB's Operating Expenses at $4.97 million (Q1 2026), $5.05 million (Q4 2025) and $4.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 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 | 23.00 Bn | 23.19 Bn | - | 566.18 Mn |
| 10 | Cedar Realty Trust | 223.19 Mn | 203.78 Mn | - | 4.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.31 Mn |
| Mar 31, 2026 | 4.97 Mn |
| Dec 31, 2025 | 5.05 Mn |
| Sep 30, 2025 | 4.87 Mn |
| Jun 30, 2025 | 5.35 Mn |
| Mar 31, 2025 | 5.69 Mn |
| Dec 31, 2024 | 5.89 Mn |
| Sep 30, 2024 | 5.93 Mn |
| Jun 30, 2024 | 6.23 Mn |
| Mar 31, 2024 | 6.27 Mn |
| Dec 31, 2023 | 6.52 Mn |
| Sep 30, 2023 | 6.34 Mn |
| Jun 30, 2023 | 7.40 Mn |
| Mar 31, 2023 | 7.01 Mn |
| Dec 31, 2022 | 4.51 Mn |
| Sep 30, 2022 | 11.52 Mn |
| Jun 30, 2022 | 9.18 Mn |
| Mar 31, 2022 | 8.89 Mn |
| Dec 31, 2021 | 10.28 Mn |
| Sep 30, 2021 | 9.78 Mn |
API Access
Cedar Realty Trust 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=CDR-PB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CDR-PB", "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=CDR-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();