Curbline Properties (CURB) Real Estate, Net (2023 - 2026)
Curbline Properties' Real Estate, Net came in at $2.67 billion for Q3 2026, up 46.5% from $1.82 billion a year earlier and up 8.5% 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 Q3 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 five consecutive quarters, with growth averaging 55.6% over the last six quarters.
- Business Quant data shows CURB's Real Estate, Net at $2.46 billion (Q2 2026), $2.12 billion (Q1 2026) and $1.99 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - |
| 10 | Curbline Properties | 3.42 Bn | 2.55 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.67 Bn |
| 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();