Copper Property CTL Pass Through Trust (CPPTL) Goodwill & Intangibles (2021 - 2026)
Copper Property CTL Pass Through Trust's Goodwill & Intangibles was $165.26 million in Q2 2026, down 8.8% from $181.2 million a year earlier and down 1.7% from the prior quarter.
Copper Property CTL Pass Through Trust (CPPTL) Goodwill & Intangibles (2021 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Copper Property CTL Pass Through Trust came in at $170.97 million, down 10.6% from FY2024.
- Goodwill & Intangibles has now declined for four consecutive years, with a four-year compound annual growth rate of -9.5% (FY2021 to FY2025).
- In earlier years, Goodwill & Intangibles was $191.26 million in FY2024 (-9.8%), $212 million in FY2023 (-7.2%), $228.53 million in FY2022 (-10.2%) and $254.6 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Goodwill & Intangibles in data going back to Q1 2021.
- Compared with a year earlier, Goodwill & Intangibles has declined for 18 straight quarters, with an average decline of 9.9% over the last eight quarters.
- Over the past five years, the year-over-year decline in Goodwill & Intangibles ranged from 7.2% (Q4 2023) to 19.7% (Q3 2022).
- Per Business Quant data, CPPTL's Goodwill & Intangibles in the three quarters before Q2 2026 was $168.11 million (Q1 2026), $170.97 million (Q4 2025) and $172.75 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.26 Mn |
| Mar 31, 2026 | 168.11 Mn |
| Dec 31, 2025 | 170.97 Mn |
| Sep 30, 2025 | 172.75 Mn |
| Jun 30, 2025 | 181.20 Mn |
| Mar 31, 2025 | 184.13 Mn |
| Dec 31, 2024 | 191.26 Mn |
| Sep 30, 2024 | 195.28 Mn |
| Jun 30, 2024 | 201.35 Mn |
| Mar 31, 2024 | 205.34 Mn |
| Dec 31, 2023 | 212.00 Mn |
| Sep 30, 2023 | 215.57 Mn |
| Jun 30, 2023 | 221.55 Mn |
| Mar 31, 2023 | 224.71 Mn |
| Dec 31, 2022 | 228.53 Mn |
| Sep 30, 2022 | 233.88 Mn |
| Jun 30, 2022 | 246.52 Mn |
| Mar 31, 2022 | 251.25 Mn |
| Dec 31, 2021 | 254.60 Mn |
| Sep 30, 2021 | 291.32 Mn |
Copper Property CTL Pass Through Trust Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=CPPTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();