Curbline Properties (CURB) Price to Earnings (2024 - 2026)
Curbline Properties' Price to Earnings came in at 118.08 for Q2 2026, down 16.5% from 141.36 a year earlier but up 42.5% from the prior quarter.
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Analysis
Curbline Properties (CURB) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2025, Curbline Properties' Price to Earnings was 61.40, down 74.2% from FY2024.
- Going back by year, Price to Earnings was 237.68 in FY2024.
- The five-year range for quarterly Price to Earnings is 56.20 (Q3 2025) to 397.85 (Q3 2024).
- Year-over-year, Price to Earnings has declined for four consecutive quarters, with an average decline of 58.7% over the last four quarters.
- Business Quant data shows CURB's Price to Earnings at 82.88 (Q1 2026), 61.40 (Q4 2025) and 56.20 (Q3 2025) in the three quarters before Q2 2026.
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 | Curbline Properties | 3.22 Bn | 3.23 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.08 |
| Mar 31, 2026 | 82.88 |
| Dec 31, 2025 | 61.40 |
| Sep 30, 2025 | 56.20 |
| Jun 30, 2025 | 141.36 |
| Mar 31, 2025 | 198.27 |
| Dec 31, 2024 | 237.68 |
| Sep 30, 2024 | 397.85 |
API Access
Curbline 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=CURB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CURB", "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=CURB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();