Copper Property CTL Pass Through Trust (CPPTL) Total Non-Current Liabilities (2021 - 2026)
Copper Property CTL Pass Through Trust (CPPTL) reported Total Non-Current Liabilities of $105.63 million for Q2 2026, down 3.5% from $109.47 million a year earlier and down 1.0% from the prior quarter.
Copper Property CTL Pass Through Trust (CPPTL) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Copper Property CTL Pass Through Trust posted Total Non-Current Liabilities of $108.09 million, down 5.2% from FY2024.
- Total Non-Current Liabilities has declined for four consecutive years, with a four-year compound annual growth rate of -10.4% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $114.01 million in FY2024 (-13.7%), $132.07 million in FY2023 (-6.1%), $140.66 million in FY2022 (-16.3%) and $168.07 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities in data going back to Q1 2021.
- Year over year, Total Non-Current Liabilities has now declined in each of the last 18 quarters, with an average decline of 8.9% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Non-Current Liabilities ran from 3.5% in Q2 2026 to 24.5% in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $106.69 million (Q1 2026), $108.09 million (Q4 2025) and $109.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 38.97 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 33.12 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 33.49 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 | 17.65 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 9.30 Bn |
| 10 | Copper Property CTL Pass Through Trust | 765.00 Mn | 765.00 Mn | - | 105.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.63 Mn |
| Mar 31, 2026 | 106.69 Mn |
| Dec 31, 2025 | 108.09 Mn |
| Sep 30, 2025 | 109.49 Mn |
| Jun 30, 2025 | 109.47 Mn |
| Mar 31, 2025 | 113.19 Mn |
| Dec 31, 2024 | 114.01 Mn |
| Sep 30, 2024 | 123.93 Mn |
| Jun 30, 2024 | 124.72 Mn |
| Mar 31, 2024 | 127.31 Mn |
| Dec 31, 2023 | 132.07 Mn |
| Sep 30, 2023 | 134.49 Mn |
| Jun 30, 2023 | 135.99 Mn |
| Mar 31, 2023 | 137.56 Mn |
| Dec 31, 2022 | 140.66 Mn |
| Sep 30, 2022 | 144.03 Mn |
| Jun 30, 2022 | 162.28 Mn |
| Mar 31, 2022 | 163.91 Mn |
| Dec 31, 2021 | 168.07 Mn |
| Sep 30, 2021 | 190.66 Mn |
Copper Property CTL Pass Through Trust Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CPPTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();