Cbl & Associates Properties (CBL) Long-Term Debt Repayments (2009 - 2026)
Cbl & Associates Properties' Long-Term Debt Repayments came in at $241.39 million for Q2 2026, compared with $20.88 million a year earlier and down 63.4% from the prior quarter.
Cbl & Associates Properties (CBL) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cbl & Associates Properties reported Long-Term Debt Repayments of $1.03 billion, up 432.2% year-over-year; for FY2025, it was $219.3 million, up 49.9% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $146.26 million in FY2024 (+85.1%), $79 million in FY2023 (-84.9%), $524.17 million in FY2022 and $11.69 million in FY2021 (-92.4%).
- The five-year range for quarterly Long-Term Debt Repayments is $12.69 million (Q2 2024) to $659.96 million (Q1 2026).
- Year-over-year, Long-Term Debt Repayments increased in six of the last seven quarters, with growth averaging 184.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2026 (growth of 806.8%), and the weakest in Q2 2023 (a decline of 96.9%).
- Business Quant data shows CBL's Long-Term Debt Repayments at $659.96 million (Q1 2026), $18.7 million (Q4 2025) and $106.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 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 | - | 241.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.39 Mn |
| Mar 31, 2026 | 659.96 Mn |
| Dec 31, 2025 | 18.70 Mn |
| Sep 30, 2025 | 106.94 Mn |
| Jun 30, 2025 | 20.88 Mn |
| Mar 31, 2025 | 72.78 Mn |
| Dec 31, 2024 | 14.34 Mn |
| Sep 30, 2024 | 84.97 Mn |
| Jun 30, 2024 | 12.69 Mn |
| Mar 31, 2024 | 34.27 Mn |
| Dec 31, 2023 | 15.70 Mn |
| Sep 30, 2023 | 23.40 Mn |
| Jun 30, 2023 | 13.75 Mn |
| Mar 31, 2023 | 26.16 Mn |
| Sep 30, 2022 | 28.24 Mn |
| Jun 30, 2022 | 445.82 Mn |
| Mar 31, 2022 | 29.50 Mn |
| Dec 31, 2021 | 11.69 Mn |
| Mar 31, 2021 | 13.73 Mn |
| Jun 30, 2013 | 574.54 Mn |
Cbl & Associates Properties Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();