Cedar Realty Trust (CDR-PB) Land & Improvements (2010 - 2023)
Cedar Realty Trust (CDR-PB) recorded Land & Improvements of $69.09 million in Q2 2023, up 0.3% from $68.87 million a year earlier and unchanged from the prior quarter.
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Analysis
Cedar Realty Trust (CDR-PB) Land & Improvements (2010 - 2023) Analysis & Trends
At the end of FY2022, Cedar Realty Trust reported Land & Improvements of $69.11 million, up 0.4% from FY2021.
- Annual Land & Improvements has a five-year compound annual growth rate of -25.7% (FY2017 to FY2022).
- Across earlier years, Land & Improvements came in at $68.87 million in FY2021 (-75.8%), $284.69 million in FY2020 (-3.0%), $293.46 million in FY2019 (-0.8%) and $295.73 million in FY2018 (-2.8%).
- Quarterly Land & Improvements has ranged from $68.87 million in Q4 2021 to $296.55 million in Q3 2019 over the past five years.
- On a year-over-year basis, Land & Improvements rose in two of the last eight quarters, with an average decline of 38.4%.
- Peak year-over-year performance for Land & Improvements in the last five years was growth of 0.4% in Q4 2022, against a decline of 75.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $69.11 million (Q1 2023), $69.11 million (Q4 2022) and $71.76 million (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Cedar Realty Trust | 223.06 Mn | 203.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 69.09 Mn |
| Mar 31, 2023 | 69.11 Mn |
| Dec 31, 2022 | 69.11 Mn |
| Sep 30, 2022 | 71.76 Mn |
| Jun 30, 2022 | 68.87 Mn |
| Mar 31, 2022 | 259.97 Mn |
| Dec 31, 2021 | 68.87 Mn |
| Sep 30, 2021 | 280.24 Mn |
| Jun 30, 2021 | 280.43 Mn |
| Mar 31, 2021 | 280.43 Mn |
| Dec 31, 2020 | 284.69 Mn |
| Sep 30, 2020 | 285.08 Mn |
| Jun 30, 2020 | 290.53 Mn |
| Mar 31, 2020 | 290.53 Mn |
| Dec 31, 2019 | 293.46 Mn |
| Sep 30, 2019 | 296.55 Mn |
| Jun 30, 2019 | 296.55 Mn |
| Mar 31, 2019 | 291.87 Mn |
| Dec 31, 2018 | 295.73 Mn |
| Sep 30, 2018 | 295.73 Mn |
API Access
Cedar Realty Trust Land & Improvements 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=land-and-improvements&ticker=CDR-PB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=CDR-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();