Copper Property CTL Pass Through Trust (CPPTL) Change in Accured Expenses (2021 - 2026)
Copper Property CTL Pass Through Trust (CPPTL) reported Change in Accured Expenses of $62,000 for Q2 2026, up 226.3% from $19,000 a year earlier.
Powered by 
Analysis
Copper Property CTL Pass Through Trust (CPPTL) Change in Accured Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Copper Property CTL Pass Through Trust's Change in Accured Expenses came in at $449,000, down 62.2% year-over-year; for FY2025, it was $925,000, down 29.8% from FY2024.
- Change in Accured Expenses has a four-year compound annual growth rate of -13.7% (FY2021 to FY2025).
- By year, Change in Accured Expenses came in at $1.32 million in FY2024 (+555.7%), $201,000 in FY2023, -$483,000 in FY2022 and $1.67 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$934,000 in Q4 2022 and a high of $1.03 million in Q3 2025.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 144.2%.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$340,000 (Q1 2026), -$298,000 (Q4 2025) and $1.03 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62,000.00 |
| Mar 31, 2026 | -340,000.00 |
| Dec 31, 2025 | -298,000.00 |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 19,000.00 |
| Mar 31, 2025 | 179,000.00 |
| Dec 31, 2024 | 633,000.00 |
| Sep 30, 2024 | 356,000.00 |
| Jun 30, 2024 | -164,000.00 |
| Mar 31, 2024 | 493,000.00 |
| Dec 31, 2023 | 194,000.00 |
| Sep 30, 2023 | -138,000.00 |
| Jun 30, 2023 | -216,000.00 |
| Mar 31, 2023 | 361,000.00 |
| Dec 31, 2022 | -934,000.00 |
| Sep 30, 2022 | 1.02 Mn |
| Jun 30, 2022 | -47,000.00 |
| Mar 31, 2022 | -525,000.00 |
| Dec 31, 2021 | 60,000.00 |
| Sep 30, 2021 | 274,000.00 |
API Access
Copper Property CTL Pass Through Trust Change in Accured Expenses 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-accured-expenses&ticker=CPPTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();