Copper Property CTL Pass Through Trust (CPPTL) Real Estate - Net (2021 - 2026)
Copper Property CTL Pass Through Trust's Real Estate - Net was $724.36 million in Q2 2026, down 4.6% from $759.01 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Copper Property CTL Pass Through Trust (CPPTL) Real Estate - Net (2021 - 2026) Analysis & Trends
At the end of FY2025, Real Estate - Net at Copper Property CTL Pass Through Trust came in at $730.8 million, down 5.6% from FY2024.
- Real Estate - Net has now declined for four consecutive years, with a four-year compound annual growth rate of -7.8% (FY2021 to FY2025).
- In earlier years, Real Estate - Net was $773.77 million in FY2024 (-9.9%), $859.18 million in FY2023 (-3.7%), $891.9 million in FY2022 (-12.0%) and $1.01 billion in FY2021.
- The Q2 2026 figure marks the lowest quarterly Real Estate - Net in data going back to Q1 2021.
- Compared with a year earlier, Real Estate - Net has declined for 18 straight quarters, with an average decline of 7.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Real Estate - Net ranged from 3.7% (Q4 2023) to 41.1% (Q3 2022).
- Per Business Quant data, CPPTL's Real Estate - Net in the three quarters before Q2 2026 was $727.58 million (Q1 2026), $730.8 million (Q4 2025) and $738.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - |
| 10 | Copper Property CTL Pass Through Trust | 765.00 Mn | 765.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 724.36 Mn |
| Mar 31, 2026 | 727.58 Mn |
| Dec 31, 2025 | 730.80 Mn |
| Sep 30, 2025 | 738.36 Mn |
| Jun 30, 2025 | 759.01 Mn |
| Mar 31, 2025 | 762.28 Mn |
| Dec 31, 2024 | 773.77 Mn |
| Sep 30, 2024 | 792.12 Mn |
| Jun 30, 2024 | 826.01 Mn |
| Mar 31, 2024 | 841.40 Mn |
| Dec 31, 2023 | 859.18 Mn |
| Sep 30, 2023 | 868.37 Mn |
| Jun 30, 2023 | 877.11 Mn |
| Mar 31, 2023 | 880.72 Mn |
| Dec 31, 2022 | 891.90 Mn |
| Sep 30, 2022 | 906.20 Mn |
| Jun 30, 2022 | 985.85 Mn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 1.01 Bn |
| Sep 30, 2021 | 1.54 Bn |
API Access
Copper Property CTL Pass Through Trust Real Estate - Net 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-net&ticker=CPPTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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-net&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();