New England Realty Associates Limited Partnership (NEN) EBITDA (2010 - 2026)
New England Realty Associates Limited Partnership's EBITDA came in at $12.14 million for Q2 2026, up 5.2% from $11.54 million a year earlier and up 28.3% from the prior quarter.
New England Realty Associates Limited Partnership (NEN) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, New England Realty Associates Limited Partnership reported EBITDA of $44.54 million, up 3.0% year-over-year; for FY2025, it came in at $44.61 million, up 5.3% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, EBITDA was $42.35 million in FY2024 (+19.0%), $35.59 million in FY2023 (+3.3%), $34.46 million in FY2022 (+11.5%) and $30.91 million in FY2021 (-7.4%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q2 2010.
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 6.5%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2024 (growth of 24.3%), and the weakest in Q1 2026 (a decline of 6.7%).
- Business Quant data shows NEN's EBITDA at $9.46 million (Q1 2026), $10.82 million (Q4 2025) and $12.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 208.46 Mn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 48.53 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 66.16 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 72.10 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -136.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 46.50 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | -43.27 Mn |
| 10 | New England Realty Associates Limited Partnership | 5.92 Mn | 5.92 Mn | - | 12.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.14 Mn |
| Mar 31, 2026 | 9.46 Mn |
| Dec 31, 2025 | 10.82 Mn |
| Sep 30, 2025 | 12.12 Mn |
| Jun 30, 2025 | 11.54 Mn |
| Mar 31, 2025 | 10.14 Mn |
| Dec 31, 2024 | 10.86 Mn |
| Sep 30, 2024 | 10.69 Mn |
| Jun 30, 2024 | 10.82 Mn |
| Mar 31, 2024 | 9.98 Mn |
| Dec 31, 2023 | 9.26 Mn |
| Sep 30, 2023 | 9.33 Mn |
| Jun 30, 2023 | 8.70 Mn |
| Mar 31, 2023 | 8.30 Mn |
| Dec 31, 2022 | 9.30 Mn |
| Sep 30, 2022 | 8.68 Mn |
| Jun 30, 2022 | 8.69 Mn |
| Mar 31, 2022 | 7.80 Mn |
| Dec 31, 2021 | 7.97 Mn |
| Sep 30, 2021 | 7.51 Mn |
New England Realty Associates Limited Partnership EBITDA 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=ebitda&ticker=NEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();