Copper Property CTL Pass Through Trust (CPPTL) Other Operating Expenses (2021 - 2026)
Copper Property CTL Pass Through Trust's Other Operating Expenses was $3.09 million in Q2 2026, unchanged from $3.09 million a year earlier and up 0.9% from the prior quarter.
Powered by 
Analysis
Copper Property CTL Pass Through Trust (CPPTL) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Copper Property CTL Pass Through Trust's Other Operating Expenses was $12.14 million through Jun 30, 2026, down 0.4% year-over-year; for FY2025, it was $12.2 million, down 0.6% from FY2024.
- Other Operating Expenses has now declined for four consecutive years, with a four-year compound annual growth rate of -3.8% (FY2021 to FY2025).
- In earlier years, Other Operating Expenses was $12.28 million in FY2024 (-2.7%), $12.61 million in FY2023 (-7.9%), $13.69 million in FY2022 (-4.0%) and $14.26 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q1 2025.
- Compared with a year earlier, Other Operating Expenses was higher in two of the last eight quarters, with an average decline of 0.7%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2022 (growth of 23.5%); the worst was Q3 2023 (a decline of 18.8%).
- Per Business Quant data, CPPTL's Other Operating Expenses in the three quarters before Q2 2026 was $3.06 million (Q1 2026), $3 million (Q4 2025) and $3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | Realty Income | 52.37 Bn | 54.76 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 |
| 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 |
|---|---|
| Jun 30, 2026 | 3.09 Mn |
| Mar 31, 2026 | 3.06 Mn |
| Dec 31, 2025 | 3.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 3.09 Mn |
| Mar 31, 2025 | 3.12 Mn |
| Dec 31, 2024 | 3.02 Mn |
| Sep 30, 2024 | 2.95 Mn |
| Jun 30, 2024 | 3.10 Mn |
| Mar 31, 2024 | 3.20 Mn |
| Dec 31, 2023 | 3.09 Mn |
| Sep 30, 2023 | 2.92 Mn |
| Jun 30, 2023 | 3.28 Mn |
| Mar 31, 2023 | 3.31 Mn |
| Dec 31, 2022 | 3.11 Mn |
| Sep 30, 2022 | 3.60 Mn |
| Jun 30, 2022 | 3.71 Mn |
| Mar 31, 2022 | 3.27 Mn |
| Dec 31, 2021 | 3.79 Mn |
| Sep 30, 2021 | 3.86 Mn |
API Access
Copper Property CTL Pass Through Trust Other Operating 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=other-operating-expenses&ticker=CPPTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();