Copper Property CTL Pass Through Trust (CPPTL) Change in Receivables (2021 - 2025)
Copper Property CTL Pass Through Trust (CPPTL) reported Change in Receivables of -$48,000 for FY2025, compared with $48,000 in FY2024.
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Analysis
Copper Property CTL Pass Through Trust (CPPTL) Change in Receivables (2021 - 2025) Analysis & Trends
Dating back to FY2021, Copper Property CTL Pass Through Trust's Change in Receivables record includes 5 years.
- Five-year annual Change in Receivables spans a low of -$160,000 in FY2023 and a high of $48,000 in FY2024.
- According to Business Quant data, Change in Receivables came in at $48,000 in FY2024, -$160,000 in FY2023, -$26,000 in FY2022 and $34,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | - | 79.41 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 9.90 Mn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -48,000.00 |
| Dec 31, 2024 | 48,000.00 |
| Jun 30, 2023 | 32,000.00 |
| Mar 31, 2023 | -192,000.00 |
| Dec 31, 2022 | 2.06 Mn |
| Sep 30, 2022 | -766,000.00 |
| Jun 30, 2022 | -633,000.00 |
| Mar 31, 2022 | -688,000.00 |
| Dec 31, 2021 | -42.88 Mn |
| Sep 30, 2021 | 15.98 Mn |
| Jun 30, 2021 | 16.16 Mn |
| Mar 31, 2021 | 10.77 Mn |
API Access
Copper Property CTL Pass Through Trust Change in Receivables 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=change-in-receivables&ticker=CPPTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();