Curbline Properties (CURB) Real Estate - Net (2023 - 2026)
Curbline Properties' Real Estate - Net came in at $2.46 billion for Q2 2026, up 62.1% from $1.52 billion a year earlier and up 16.4% from the prior quarter.
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Analysis
Curbline Properties (CURB) Real Estate - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Curbline Properties' Real Estate - Net was $1.99 billion, up 57.5% from FY2024.
- Going back by year, Real Estate - Net was $1.26 billion in FY2024 (+44.3%) and $874.64 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Real Estate - Net in data going back to Q4 2023.
- Year-over-year, Real Estate - Net has increased for four consecutive quarters, with growth averaging 57.5% over the last five quarters.
- Business Quant data shows CURB's Real Estate - Net at $2.12 billion (Q1 2026), $1.99 billion (Q4 2025) and $1.82 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 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 | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Curbline Properties | 3.17 Bn | 3.18 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.46 Bn |
| Mar 31, 2026 | 2.12 Bn |
| Dec 31, 2025 | 1.99 Bn |
| Sep 30, 2025 | 1.82 Bn |
| Jun 30, 2025 | 1.52 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.08 Bn |
| Dec 31, 2023 | 874.64 Mn |
API Access
Curbline Properties Real Estate - Net 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=real-estate-net&ticker=CURB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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=real-estate-net&ticker=CURB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();