Copper Property CTL Pass Through Trust (CPPTL) Accumulated Depreciation (2021 - 2026)
Copper Property CTL Pass Through Trust (CPPTL) recorded Accumulated Depreciation of $70.04 million in Q2 2026, up 21.0% from $57.87 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Copper Property CTL Pass Through Trust (CPPTL) Accumulated Depreciation (2021 - 2026) Analysis & Trends
At the end of FY2025, Copper Property CTL Pass Through Trust reported Accumulated Depreciation of $63.6 million, up 22.1% from FY2024.
- Annual Accumulated Depreciation has increased for four straight years, with a four-year compound annual growth rate of 44.4% (FY2021 to FY2025).
- Across earlier years, Accumulated Depreciation came in at $52.1 million in FY2024 (+24.6%), $41.82 million in FY2023 (+50.7%), $27.74 million in FY2022 (+89.8%) and $14.62 million in FY2021.
- The Q2 2026 figure is the highest quarterly Accumulated Depreciation in data going back to Q1 2021.
- On a year-over-year basis, Accumulated Depreciation has increased for 18 consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- The year-over-year growth in Accumulated Depreciation has ranged between 12.1% (Q3 2022) and 235.6% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $66.82 million (Q1 2026), $63.6 million (Q4 2025) and $60.37 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 | 70.04 Mn |
| Mar 31, 2026 | 66.82 Mn |
| Dec 31, 2025 | 63.60 Mn |
| Sep 30, 2025 | 60.37 Mn |
| Jun 30, 2025 | 57.87 Mn |
| Mar 31, 2025 | 54.59 Mn |
| Dec 31, 2024 | 52.10 Mn |
| Sep 30, 2024 | 49.24 Mn |
| Jun 30, 2024 | 47.38 Mn |
| Mar 31, 2024 | 44.73 Mn |
| Dec 31, 2023 | 41.82 Mn |
| Sep 30, 2023 | 38.36 Mn |
| Jun 30, 2023 | 34.88 Mn |
| Mar 31, 2023 | 31.27 Mn |
| Dec 31, 2022 | 27.74 Mn |
| Sep 30, 2022 | 24.35 Mn |
| Jun 30, 2022 | 22.45 Mn |
| Mar 31, 2022 | 18.60 Mn |
| Dec 31, 2021 | 14.62 Mn |
| Sep 30, 2021 | 21.72 Mn |
API Access
Copper Property CTL Pass Through Trust Accumulated Depreciation 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=accumulated-depreciation&ticker=CPPTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=CPPTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();