Cbl & Associates Properties (CBL) Accumulated Depreciation (2009 - 2026)
Cbl & Associates Properties (CBL) recorded Accumulated Depreciation of $389.99 million in Q2 2026, up 24.2% from $314.09 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Cbl & Associates Properties (CBL) Accumulated Depreciation (2009 - 2026) Analysis & Trends
At the end of FY2025, Cbl & Associates Properties reported Accumulated Depreciation of $355.9 million, up 25.4% from FY2024.
- Annual Accumulated Depreciation has increased for four straight years, though with a five-year compound annual growth rate of -30.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Depreciation came in at $283.79 million in FY2024 (+24.4%), $228.03 million in FY2023 (+66.6%), $136.9 million in FY2022 (+586.6%) and $19.94 million in FY2021 (-99.1%).
- The Q2 2026 figure is the highest quarterly Accumulated Depreciation since Q4 2020.
- On a year-over-year basis, Accumulated Depreciation has increased for 15 consecutive quarters, with growth averaging 24.2% over the last eight quarters.
- Peak year-over-year performance for Accumulated Depreciation in the last five years was growth of 586.6% in Q4 2022, against a decline of 99.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $371.13 million (Q1 2026), $355.9 million (Q4 2025) and $334.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Cbl & Associates Properties | 1.65 Bn | 1.65 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389.99 Mn |
| Mar 31, 2026 | 371.13 Mn |
| Dec 31, 2025 | 355.90 Mn |
| Sep 30, 2025 | 334.10 Mn |
| Jun 30, 2025 | 314.09 Mn |
| Mar 31, 2025 | 303.95 Mn |
| Dec 31, 2024 | 283.79 Mn |
| Sep 30, 2024 | 277.48 Mn |
| Jun 30, 2024 | 263.95 Mn |
| Mar 31, 2024 | 247.39 Mn |
| Dec 31, 2023 | 228.03 Mn |
| Sep 30, 2023 | 205.55 Mn |
| Jun 30, 2023 | 183.53 Mn |
| Mar 31, 2023 | 161.47 Mn |
| Dec 31, 2022 | 136.90 Mn |
| Sep 30, 2022 | 107.46 Mn |
| Jun 30, 2022 | 77.97 Mn |
| Mar 31, 2022 | 49.19 Mn |
| Dec 31, 2021 | 19.94 Mn |
| Dec 31, 2020 | 2.24 Bn |
API Access
Cbl & Associates Properties 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=CBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "CBL", "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=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();