Copper Property CTL Pass Through Trust (CPPTL) Real Estate - Gross (2021 - 2026)
Copper Property CTL Pass Through Trust (CPPTL) reported Real Estate - Gross of $794.4 million for Q2 2026, down 2.8% from $816.87 million a year earlier and unchanged from the prior quarter.
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Analysis
Copper Property CTL Pass Through Trust (CPPTL) Real Estate - Gross (2021 - 2026) Analysis & Trends
Dating back to Q1 2021, Copper Property CTL Pass Through Trust's Real Estate - Gross record includes 22 quarters.
- Real Estate - Gross has declined for four consecutive years, with a four-year compound annual growth rate of -6.2% (FY2021 to FY2025).
- By year, Real Estate - Gross came in at $825.87 million in FY2024 (-8.3%), $901 million in FY2023 (-2.0%), $919.64 million in FY2022 (-10.5%) and $1.03 billion in FY2021.
- Five-year quarterly Real Estate - Gross spans a low of $794.4 million in Q4 2025 and a high of $1.56 billion in Q3 2021.
- Year over year, Real Estate - Gross has now declined in each of the last 18 quarters, with an average decline of 5.5% over the last eight quarters.
- The year-over-year decline in Real Estate - Gross has ranged between 2.0% (Q4 2023) and 40.4% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $794.4 million (Q1 2026), $794.4 million (Q4 2025) and $798.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - |
| 10 | Copper Property CTL Pass Through Trust | 767.25 Mn | 767.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 794.40 Mn |
| Mar 31, 2026 | 794.40 Mn |
| Dec 31, 2025 | 794.40 Mn |
| Sep 30, 2025 | 798.72 Mn |
| Jun 30, 2025 | 816.87 Mn |
| Mar 31, 2025 | 816.87 Mn |
| Dec 31, 2024 | 825.87 Mn |
| Sep 30, 2024 | 841.36 Mn |
| Jun 30, 2024 | 873.40 Mn |
| Mar 31, 2024 | 886.13 Mn |
| Dec 31, 2023 | 901.00 Mn |
| Sep 30, 2023 | 906.73 Mn |
| Jun 30, 2023 | 911.99 Mn |
| Mar 31, 2023 | 911.99 Mn |
| Dec 31, 2022 | 919.64 Mn |
| Sep 30, 2022 | 930.55 Mn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 1.56 Bn |
API Access
Copper Property CTL Pass Through Trust Real Estate - Gross 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-gross&ticker=CPPTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-gross", "ticker": "CPPTL", "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-gross&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();