Cbl & Associates Properties (CBL) Land & Improvements (2009 - 2026)
Cbl & Associates Properties' Land & Improvements came in at $601.55 million for Q2 2026, up 3.4% from $581.75 million a year earlier but down 1.4% from the prior quarter.
Cbl & Associates Properties (CBL) Land & Improvements (2009 - 2026) Analysis & Trends
Going back to Q4 2009, Cbl & Associates Properties' Land & Improvements data covers 29 quarters.
- Land & Improvements carries a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- Going back by year, Land & Improvements was $588.15 million in FY2024 (+0.5%), $585.19 million in FY2023 (-1.9%), $596.72 million in FY2022 (-0.4%) and $599.28 million in FY2021 (-13.9%).
- The five-year range for quarterly Land & Improvements is $563.43 million (Q3 2024) to $609.83 million (Q1 2026).
- Year-over-year, Land & Improvements has increased for four consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- The fastest year-over-year change in Land & Improvements over five years came in Q3 2025 (growth of 6.9%), and the weakest in Q4 2021 (a decline of 13.9%).
- Business Quant data shows CBL's Land & Improvements at $609.83 million (Q1 2026), $601.55 million (Q4 2025) and $602.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 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 | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Cbl & Associates Properties | 1.65 Bn | 1.65 Bn | - | 601.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 601.55 Mn |
| Mar 31, 2026 | 609.83 Mn |
| Dec 31, 2025 | 601.55 Mn |
| Sep 30, 2025 | 602.15 Mn |
| Jun 30, 2025 | 581.75 Mn |
| Mar 31, 2025 | 592.06 Mn |
| Dec 31, 2024 | 588.15 Mn |
| Sep 30, 2024 | 563.43 Mn |
| Jun 30, 2024 | 582.95 Mn |
| Mar 31, 2024 | 582.95 Mn |
| Dec 31, 2023 | 585.19 Mn |
| Sep 30, 2023 | 585.48 Mn |
| Jun 30, 2023 | 589.56 Mn |
| Mar 31, 2023 | 590.33 Mn |
| Dec 31, 2022 | 596.72 Mn |
| Sep 30, 2022 | 598.20 Mn |
| Jun 30, 2022 | 592.55 Mn |
| Mar 31, 2022 | 594.36 Mn |
| Dec 31, 2021 | 599.28 Mn |
| Dec 31, 2020 | 695.71 Mn |
Cbl & Associates Properties Land & Improvements 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=land-and-improvements&ticker=CBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();