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.
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 Comparison
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 |
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_KEY
import 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();