Cbl & Associates Properties (CBL) Operating Expenses (2009 - 2026)
Cbl & Associates Properties (CBL) reported Operating Expenses of $101.76 million for Q2 2026, down 3.4% from $105.36 million a year earlier and down 8.6% from the prior quarter.
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Analysis
Cbl & Associates Properties (CBL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cbl & Associates Properties' Operating Expenses came in at $428.16 million, up 3.9% year-over-year; for FY2025, it came in at $441.8 million, up 15.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $384.13 million in FY2024 (-12.6%), $439.62 million in FY2023 (-14.8%), $516.04 million in FY2022 (+467.1%) and $91 million in FY2021 (-86.7%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 3.7%.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 18.6%); the low point was Q4 2023 (a decline of 19.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $111.29 million (Q1 2026), $105.7 million (Q4 2025) and $109.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Cbl & Associates Properties | 1.62 Bn | 1.61 Bn | - | 101.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.76 Mn |
| Mar 31, 2026 | 111.29 Mn |
| Dec 31, 2025 | 105.70 Mn |
| Sep 30, 2025 | 109.42 Mn |
| Jun 30, 2025 | 105.36 Mn |
| Mar 31, 2025 | 121.32 Mn |
| Dec 31, 2024 | 92.15 Mn |
| Sep 30, 2024 | 93.23 Mn |
| Jun 30, 2024 | 96.50 Mn |
| Mar 31, 2024 | 102.26 Mn |
| Dec 31, 2023 | 101.88 Mn |
| Sep 30, 2023 | 102.36 Mn |
| Jun 30, 2023 | 111.80 Mn |
| Mar 31, 2023 | 123.58 Mn |
| Sep 30, 2022 | 124.18 Mn |
| Jun 30, 2022 | 129.74 Mn |
| Mar 31, 2022 | 135.28 Mn |
| Dec 31, 2021 | 91.00 Mn |
| Sep 30, 2021 | 170.41 Mn |
| Jun 30, 2021 | 102.63 Mn |
API Access
Cbl & Associates Properties 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=operating-expenses&ticker=CBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();