Copper Property CTL Pass Through Trust (CPPTL) Land & Improvements (2021 - 2026)
Copper Property CTL Pass Through Trust (CPPTL) reported Land & Improvements of $351.98 million for Q2 2026, down 3.9% from $366.09 million a year earlier and unchanged from the prior quarter.
Copper Property CTL Pass Through Trust (CPPTL) Land & Improvements (2021 - 2026) Analysis & Trends
Dating back to Q1 2021, Copper Property CTL Pass Through Trust's Land & Improvements record includes 22 quarters.
- Land & Improvements has declined for four consecutive years, with a four-year compound annual growth rate of -7.5% (FY2021 to FY2025).
- By year, Land & Improvements came in at $368.59 million in FY2024 (-9.7%), $408.06 million in FY2023 (-3.3%), $422.11 million in FY2022 (-12.1%) and $480.29 million in FY2021.
- Five-year quarterly Land & Improvements spans a low of $351.98 million in Q4 2025 and a high of $583.52 million in Q3 2021.
- Year over year, Land & Improvements has now declined in each of the last 18 quarters, with an average decline of 6.5% over the last eight quarters.
- The year-over-year decline in Land & Improvements has ranged between 3.3% (Q4 2023) and 33.0% (Q2 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $351.98 million (Q1 2026), $351.98 million (Q4 2025) and $358.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 7.24 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 | - | 18.91 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 6.00 Bn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 5.52 Bn |
| 10 | Copper Property CTL Pass Through Trust | 765.00 Mn | 765.00 Mn | - | 351.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.98 Mn |
| Mar 31, 2026 | 351.98 Mn |
| Dec 31, 2025 | 351.98 Mn |
| Sep 30, 2025 | 358.37 Mn |
| Jun 30, 2025 | 366.09 Mn |
| Mar 31, 2025 | 366.09 Mn |
| Dec 31, 2024 | 368.59 Mn |
| Sep 30, 2024 | 379.49 Mn |
| Jun 30, 2024 | 396.91 Mn |
| Mar 31, 2024 | 400.91 Mn |
| Dec 31, 2023 | 408.06 Mn |
| Sep 30, 2023 | 412.11 Mn |
| Jun 30, 2023 | 415.76 Mn |
| Mar 31, 2023 | 415.76 Mn |
| Dec 31, 2022 | 422.11 Mn |
| Sep 30, 2022 | 428.31 Mn |
| Jun 30, 2022 | 463.93 Mn |
| Mar 31, 2022 | 480.29 Mn |
| Dec 31, 2021 | 480.29 Mn |
| Sep 30, 2021 | 583.52 Mn |
Copper Property CTL Pass Through 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=CPPTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();