New England Realty Associates Limited Partnership (NEN) Real Estate, Net (2010 - 2026)
New England Realty Associates Limited Partnership's Real Estate - Net came in at $452.15 million for Q2 2026, down 0.9% from $456.34 million a year earlier and down 0.8% from the prior quarter.
New England Realty Associates Limited Partnership (NEN) Real Estate, Net (2010 - 2026) Analysis & Trends
At the end of FY2025, New England Realty Associates Limited Partnership's Real Estate - Net was $458.78 million, up 64.7% from FY2024.
- Real Estate - Net has increased in each of the last three years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Real Estate - Net was $278.52 million in FY2024 (+3.2%), $269.8 million in FY2023 (+11.9%), $241.08 million in FY2022 (-4.1%) and $251.36 million in FY2021 (-5.0%).
- The Q2 2026 figure represents the lowest quarterly Real Estate - Net since Q1 2025.
- Year-over-year, Real Estate - Net increased in seven of the last eight quarters, with growth averaging 33.7%.
- The fastest year-over-year change in Real Estate - Net over five years came in Q2 2025 (growth of 68.3%), and the weakest in Q4 2021 (a decline of 5.0%).
- Business Quant data shows NEN's Real Estate - Net at $455.88 million (Q1 2026), $458.78 million (Q4 2025) and $458.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.74 Bn | 21.57 Bn | - |
| 2 | Howard Hughes Holdings | 4.57 Bn | -2.86 Bn | 1.07 Bn |
| 3 | Millrose Properties | 4.44 Bn | 4.44 Bn | - |
| 4 | St Joe | 3.92 Bn | 3.42 Bn | 80.65 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.09 Bn | 1.90 Bn | - |
| 6 | LandBridge | 2.23 Bn | 2.10 Bn | 65.71 Mn |
| 7 | Opendoor Technologies | 1.74 Bn | -2.08 Bn | 86.00 Mn |
| 8 | Forestar | 1.25 Bn | 1.25 Bn | - |
| 9 | Tejon Ranch | 440.98 Mn | 360.60 Mn | - |
| 10 | New England Realty Associates Limited Partnership | 5.13 Mn | -85.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 452.15 Mn |
| Mar 31, 2026 | 455.88 Mn |
| Dec 31, 2025 | 458.78 Mn |
| Sep 30, 2025 | 458.03 Mn |
| Jun 30, 2025 | 456.34 Mn |
| Mar 31, 2025 | 283.00 Mn |
| Dec 31, 2024 | 278.52 Mn |
| Sep 30, 2024 | 272.85 Mn |
| Jun 30, 2024 | 271.07 Mn |
| Mar 31, 2024 | 270.26 Mn |
| Dec 31, 2023 | 269.80 Mn |
| Sep 30, 2023 | 272.30 Mn |
| Jun 30, 2023 | 247.45 Mn |
| Mar 31, 2023 | 248.53 Mn |
| Dec 31, 2022 | 241.08 Mn |
| Sep 30, 2022 | 242.94 Mn |
| Jun 30, 2022 | 245.43 Mn |
| Mar 31, 2022 | 248.41 Mn |
| Dec 31, 2021 | 251.36 Mn |
| Sep 30, 2021 | 255.11 Mn |
New England Realty Associates Limited Partnership 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=NEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "ticker": "NEN", "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=NEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();