Copper Property CTL Pass Through Trust (CPPTL) Total Liabilities (2021 - 2026)
Copper Property CTL Pass Through Trust (CPPTL) reported Total Liabilities of $113.91 million for Q2 2026, down 3.2% from $117.69 million a year earlier and down 0.9% from the prior quarter.
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Analysis
Copper Property CTL Pass Through Trust (CPPTL) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Copper Property CTL Pass Through Trust posted Total Liabilities of $116.31 million, down 4.9% from FY2024.
- Total Liabilities has declined for four consecutive years, with a four-year compound annual growth rate of -10.0% (FY2021 to FY2025).
- By year, Total Liabilities came in at $122.36 million in FY2024 (-13.0%), $140.67 million in FY2023 (-5.8%), $149.29 million in FY2022 (-15.8%) and $177.32 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities in data going back to Q1 2021.
- Year over year, Total Liabilities has now declined in each of the last 18 quarters, with an average decline of 8.2% over the last eight quarters.
- The year-over-year decline in Total Liabilities has ranged between 3.2% (Q2 2026) and 23.0% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $114.97 million (Q1 2026), $116.31 million (Q4 2025) and $119.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 22.44 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 42.89 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 34.13 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 34.51 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 10.83 Bn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 14.95 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 | 18.67 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 9.58 Bn |
| 10 | Copper Property CTL Pass Through Trust | 765.00 Mn | 765.00 Mn | - | 113.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.91 Mn |
| Mar 31, 2026 | 114.97 Mn |
| Dec 31, 2025 | 116.31 Mn |
| Sep 30, 2025 | 119.55 Mn |
| Jun 30, 2025 | 117.69 Mn |
| Mar 31, 2025 | 121.42 Mn |
| Dec 31, 2024 | 122.36 Mn |
| Sep 30, 2024 | 132.16 Mn |
| Jun 30, 2024 | 133.14 Mn |
| Mar 31, 2024 | 135.82 Mn |
| Dec 31, 2023 | 140.67 Mn |
| Sep 30, 2023 | 143.01 Mn |
| Jun 30, 2023 | 144.64 Mn |
| Mar 31, 2023 | 146.14 Mn |
| Dec 31, 2022 | 149.29 Mn |
| Sep 30, 2022 | 152.76 Mn |
| Jun 30, 2022 | 173.51 Mn |
| Mar 31, 2022 | 173.19 Mn |
| Dec 31, 2021 | 177.32 Mn |
| Sep 30, 2021 | 198.48 Mn |
API Access
Copper Property CTL Pass Through Trust Total 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-liabilities&ticker=CPPTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();