Copper Property CTL Pass Through Trust (CPPTL) Cash from Operations (2021 - 2026)
Copper Property CTL Pass Through Trust's Cash from Operations came in at $20.41 million for Q2 2026, down 5.6% from $21.63 million a year earlier but up 26.1% from the prior quarter.
Copper Property CTL Pass Through Trust (CPPTL) Cash from Operations (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Copper Property CTL Pass Through Trust reported Cash from Operations of $74.4 million, down 15.8% year-over-year; for FY2025, it came in at $79.32 million, down 14.0% from FY2024.
- Cash from Operations carries a four-year compound annual growth rate of 0.3% (FY2021 to FY2025).
- Going back by year, Cash from Operations was $92.19 million in FY2024 (-0.3%), $92.5 million in FY2023 (+3.4%), $89.45 million in FY2022 (+14.1%) and $78.43 million in FY2021.
- The five-year range for quarterly Cash from Operations is $16.18 million (Q1 2026) to $26.11 million (Q2 2022).
- Year-over-year, Cash from Operations has declined for six consecutive quarters, with an average decline of 9.8% over the last eight quarters.
- The fastest year-over-year change in Cash from Operations over five years came in Q2 2022 (growth of 27.8%), and the weakest in Q4 2025 (a decline of 23.3%).
- Business Quant data shows CPPTL's Cash from Operations at $16.18 million (Q1 2026), $18.06 million (Q4 2025) and $19.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 1.00 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 1.20 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.15 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 868.44 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 556.55 Mn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 586.41 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 728.18 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | Copper Property CTL Pass Through Trust | 765.00 Mn | 765.00 Mn | - | 20.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.41 Mn |
| Mar 31, 2026 | 16.18 Mn |
| Dec 31, 2025 | 18.06 Mn |
| Sep 30, 2025 | 19.74 Mn |
| Jun 30, 2025 | 21.63 Mn |
| Mar 31, 2025 | 19.90 Mn |
| Dec 31, 2024 | 23.56 Mn |
| Sep 30, 2024 | 23.31 Mn |
| Jun 30, 2024 | 23.27 Mn |
| Mar 31, 2024 | 22.04 Mn |
| Dec 31, 2023 | 23.13 Mn |
| Sep 30, 2023 | 23.36 Mn |
| Jun 30, 2023 | 23.30 Mn |
| Mar 31, 2023 | 22.72 Mn |
| Dec 31, 2022 | 22.00 Mn |
| Sep 30, 2022 | 21.97 Mn |
| Jun 30, 2022 | 26.11 Mn |
| Mar 31, 2022 | 19.37 Mn |
| Dec 31, 2021 | 20.29 Mn |
| Sep 30, 2021 | 20.06 Mn |
Copper Property CTL Pass Through Trust Cash from Operations 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=cash-from-operations&ticker=CPPTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();