Cbl & Associates Properties Inc (CBL) Interest Expense (2009 - 2026)
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Analysis
Cbl & Associates Properties Inc (CBL) Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.72 Mn |
| Mar 31, 2026 | 39.90 Mn |
| Dec 31, 2025 | 43.00 Mn |
| Sep 30, 2025 | 44.78 Mn |
| Jun 30, 2025 | 43.96 Mn |
| Mar 31, 2025 | 44.23 Mn |
| Dec 31, 2024 | 36.42 Mn |
| Sep 30, 2024 | 38.85 Mn |
| Jun 30, 2024 | 39.41 Mn |
| Mar 31, 2024 | 39.81 Mn |
| Dec 31, 2023 | 42.32 Mn |
| Sep 30, 2023 | 42.89 Mn |
| Jun 30, 2023 | 44.17 Mn |
| Mar 31, 2023 | 43.52 Mn |
| Sep 30, 2022 | 37.65 Mn |
| Jun 30, 2022 | 55.12 Mn |
| Mar 31, 2022 | 90.66 Mn |
| Dec 31, 2021 | 195.49 Mn |
| Sep 30, 2021 | 19.04 Mn |
| Jun 30, 2021 | 22.30 Mn |
API Access
Cbl & Associates Properties Inc Interest Expense 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=interest-expense&ticker=CBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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=interest-expense&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();