Neighborhood Intelligence (NXH) Long-Term Investments (2011 - 2026)
Neighborhood Intelligence (NXH) posted Long-Term Investments of $55.93 million for Q2 2026, down 21.9% from $71.62 million a year earlier and down 12.9% from the prior quarter.
Neighborhood Intelligence (NXH) Long-Term Investments (2011 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Long-Term Investments came in at $66.64 million, down 14.8% from FY2024.
- Annual Long-Term Investments has declined for four consecutive years, though with a five-year compound annual growth rate of 116.2% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Long-Term Investments was $78.19 million in FY2024 (-49.8%), $155.87 million in FY2023 (-47.4%), $296.32 million in FY2022 (-13.5%) and $342.68 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Long-Term Investments since Q4 2020.
- On a year-over-year basis, Long-Term Investments has declined in each of the last 16 quarters, with an average decline of 32.0% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q3 2021, with growth of 574.1%; the weakest was Q1 2024, with a decline of 52.5%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $64.24 million (Q1 2026), $66.64 million (Q4 2025) and $78.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | - |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 179.00 Mn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 119.90 Mn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 55.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.93 Mn |
| Mar 31, 2026 | 64.24 Mn |
| Dec 31, 2025 | 66.64 Mn |
| Sep 30, 2025 | 78.63 Mn |
| Jun 30, 2025 | 71.62 Mn |
| Mar 31, 2025 | 77.74 Mn |
| Dec 31, 2024 | 78.19 Mn |
| Sep 30, 2024 | 112.50 Mn |
| Jun 30, 2024 | 129.70 Mn |
| Mar 31, 2024 | 137.42 Mn |
| Dec 31, 2023 | 155.87 Mn |
| Sep 30, 2023 | 169.33 Mn |
| Jun 30, 2023 | 208.50 Mn |
| Mar 31, 2023 | 289.12 Mn |
| Dec 31, 2022 | 296.32 Mn |
| Sep 30, 2022 | 311.36 Mn |
| Jun 30, 2022 | 350.58 Mn |
| Mar 31, 2022 | 352.83 Mn |
| Dec 31, 2021 | 342.68 Mn |
| Sep 30, 2021 | 330.20 Mn |
Neighborhood Intelligence Long-Term Investments 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=long-term-investments&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "NXH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();