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 | 22.47 Bn | 21.30 Bn | - |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn |
| 10 | New England Realty Associates Limited Partnership | 5.92 Mn | 5.92 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();