Cedar Realty Trust (CDR-PB) Price to Earnings (2012 - 2026)
Cedar Realty Trust's (CDR-PB) Price to Earnings was 268.53 for Q1 2026, compared with 17.20 a year earlier.
Analysis
Cedar Realty Trust (CDR-PB) Price to Earnings (2012 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Cedar Realty Trust was 22.92, down 79.1% from FY2024.
- By year, Price to Earnings came in at 109.51 in FY2024 and 5.98 in FY2022.
- The Q1 2026 figure ranks as the highest quarterly Price to Earnings since Q3 2019.
- Per Business Quant data, the three quarters before Q1 2026 came in at 22.92 (Q4 2025), 13.57 (Q3 2025) and 11.87 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Cedar Realty Trust | 226.21 Mn | 206.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 268.53 |
| Dec 31, 2025 | 22.92 |
| Sep 30, 2025 | 13.57 |
| Jun 30, 2025 | 11.87 |
| Mar 31, 2025 | 17.20 |
| Dec 31, 2024 | 109.51 |
| Jun 30, 2023 | 2.78 |
| Mar 31, 2023 | 6.14 |
| Dec 31, 2022 | 5.98 |
| Sep 30, 2022 | 6.99 |
| Jun 30, 2021 | 7.07 |
| Sep 30, 2019 | 452.08 |
| Jun 30, 2019 | 264.08 |
| Mar 31, 2019 | 172.01 |
| Mar 31, 2017 | 456.73 |
| Jun 30, 2016 | 418.89 |
| Mar 31, 2016 | 365.04 |
| Dec 31, 2015 | 271.48 |
| Sep 30, 2015 | 394.49 |
| Jun 30, 2015 | 456.39 |
API Access
Cedar Realty Trust 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=CDR-PB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CDR-PB", "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=CDR-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();