Copper Property CTL Pass Through Trust (CPPTL) Enterprise Value (2022 - 2026)
Copper Property CTL Pass Through Trust's Enterprise Value came in at $782.55 million for Q2 2026, down 12.5% from $894.26 million a year earlier but up 0.3% from the prior quarter.
Copper Property CTL Pass Through Trust (CPPTL) Enterprise Value (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Copper Property CTL Pass Through Trust reported Enterprise Value of $662.54 million, down 13.1% year-over-year; for FY2025, it was $806.62 million, down 6.9% from FY2024.
- Enterprise Value carries a three-year compound annual growth rate of -5.1% (FY2022 to FY2025).
- Going back by year, Enterprise Value was $866.11 million in FY2024 (+20.4%), $719.47 million in FY2023 (-23.9%) and $944.83 million in FY2022.
- The five-year range for quarterly Enterprise Value is $636.97 million (Q2 2024) to $947.91 million (Q3 2022).
- Year-over-year, Enterprise Value has declined for three consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2025 (growth of 40.4%), and the weakest in Q4 2023 (a decline of 23.9%).
- Business Quant data shows CPPTL's Enterprise Value at $780.53 million (Q1 2026), $806.62 million (Q4 2025) and $881.84 million (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 782.55 Mn |
| Mar 31, 2026 | 780.53 Mn |
| Dec 31, 2025 | 806.62 Mn |
| Sep 30, 2025 | 881.84 Mn |
| Jun 30, 2025 | 894.26 Mn |
| Mar 31, 2025 | 934.97 Mn |
| Dec 31, 2024 | 866.11 Mn |
| Sep 30, 2024 | 855.39 Mn |
| Jun 30, 2024 | 636.97 Mn |
| Mar 31, 2024 | 688.96 Mn |
| Dec 31, 2023 | 719.47 Mn |
| Sep 30, 2023 | 761.06 Mn |
| Jun 30, 2023 | 753.56 Mn |
| Mar 31, 2023 | 783.44 Mn |
| Dec 31, 2022 | 944.83 Mn |
| Sep 30, 2022 | 947.91 Mn |
| Jun 30, 2022 | 921.94 Mn |
Copper Property CTL Pass Through Trust Enterprise Value 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=enterprise-value&ticker=CPPTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();