Cbl & Associates Properties (CBL) Price to Earnings (2023 - 2026)
Cbl & Associates Properties' (CBL) Price to Earnings stood at 7.70 in Q2 2026, down 37.0% from 12.22 a year earlier but up 10.4% from the prior quarter.
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Analysis
Cbl & Associates Properties (CBL) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Cbl & Associates Properties' Price to Earnings came in at 8.38, down 46.4% from FY2024.
- Across earlier years, Price to Earnings came in at 15.64 in FY2024 (-89.1%) and 143.72 in FY2023.
- Quarterly Price to Earnings has ranged from 6.98 in Q1 2026 to 228.20 in Q1 2024 over the past five years.
- On a year-over-year basis, Price to Earnings has declined for seven consecutive quarters, with an average decline of 61.7% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 6.98 (Q1 2026), 8.42 (Q4 2025) and 7.67 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - |
| 10 | Cbl & Associates Properties | 1.68 Bn | 1.67 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.70 |
| Mar 31, 2026 | 6.98 |
| Dec 31, 2025 | 8.42 |
| Sep 30, 2025 | 7.67 |
| Jun 30, 2025 | 12.22 |
| Mar 31, 2025 | 12.42 |
| Dec 31, 2024 | 15.64 |
| Sep 30, 2024 | 24.86 |
| Jun 30, 2024 | 25.64 |
| Mar 31, 2024 | 228.20 |
| Dec 31, 2023 | 144.49 |
API Access
Cbl & Associates Properties Price to Earnings 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=price-to-earnings&ticker=CBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();