New England Realty Associates Limited Partnership (NEN) Receivables (2010 - 2026)
New England Realty Associates Limited Partnership (NEN) posted Receivables of $1.84 million for Q2 2026, up 42.0% from $1.3 million a year earlier and up 11.5% from the prior quarter.
New England Realty Associates Limited Partnership (NEN) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, New England Realty Associates Limited Partnership's Receivables came in at $1.43 million, up 17.0% from FY2024.
- Annual Receivables has increased for three consecutive years, with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, New England Realty Associates Limited Partnership's Receivables was $1.22 million in FY2024 (+28.0%), $953,761 in FY2023 (+45.4%), $655,814 in FY2022 (-29.9%) and $935,303 in FY2021 (-33.8%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2010.
- On a year-over-year basis, Receivables has increased in each of the last 14 quarters, with growth averaging 29.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q3 2023, with growth of 124.1%; the weakest was Q3 2022, with a decline of 58.7%.
- According to Business Quant data, Receivables for the three prior quarters was $1.65 million (Q1 2026), $1.43 million (Q4 2025) and $1.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 174.77 Mn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | 2.35 Mn |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 27.50 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 17.94 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 55.70 Mn |
| 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 | - | 1.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Mn |
| Mar 31, 2026 | 1.65 Mn |
| Dec 31, 2025 | 1.43 Mn |
| Sep 30, 2025 | 1.39 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.09 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 954,442.00 |
| Jun 30, 2024 | 1.03 Mn |
| Mar 31, 2024 | 865,990.00 |
| Dec 31, 2023 | 953,761.00 |
| Sep 30, 2023 | 929,320.00 |
| Jun 30, 2023 | 769,712.00 |
| Mar 31, 2023 | 801,990.00 |
| Dec 31, 2022 | 655,814.00 |
| Sep 30, 2022 | 414,659.00 |
| Jun 30, 2022 | 653,060.00 |
| Mar 31, 2022 | 625,819.00 |
| Dec 31, 2021 | 935,303.00 |
| Sep 30, 2021 | 1.00 Mn |
New England Realty Associates Limited Partnership Receivables 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=receivables&ticker=NEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();