Neighborhood Intelligence (NXH) Cash & Current Investments (2010 - 2026)
Neighborhood Intelligence (NXH) posted Cash & Current Investments of $99.49 million for Q2 2026, down 17.5% from $120.55 million a year earlier and down 26.8% from the prior quarter.
Neighborhood Intelligence (NXH) Cash & Current Investments (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Cash & Current Investments came in at $175.3 million, up 10.1% from FY2024.
- Annual Cash & Current Investments shows a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Cash & Current Investments was $159.17 million in FY2024 (-47.4%), $302.61 million in FY2023 (-18.5%), $371.26 million in FY2022 (-26.2%) and $503.34 million in FY2021 (+1.2%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Current Investments since Q3 2019.
- On a year-over-year basis, Cash & Current Investments increased in three of the last eight quarters, with an average decline of 20.5%.
- The strongest year-over-year quarter for Cash & Current Investments in the past five years was Q3 2025, with growth of 19.2%; the weakest was Q3 2024, with a decline of 56.9%.
- According to Business Quant data, Cash & Current Investments for the three prior quarters was $135.83 million (Q1 2026), $175.3 million (Q4 2025) and $167.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Current Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 122.99 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.41 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.41 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 99.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.49 Mn |
| Mar 31, 2026 | 135.83 Mn |
| Dec 31, 2025 | 175.30 Mn |
| Sep 30, 2025 | 167.37 Mn |
| Jun 30, 2025 | 120.55 Mn |
| Mar 31, 2025 | 114.58 Mn |
| Dec 31, 2024 | 159.17 Mn |
| Sep 30, 2024 | 140.37 Mn |
| Jun 30, 2024 | 186.17 Mn |
| Mar 31, 2024 | 256.32 Mn |
| Dec 31, 2023 | 302.61 Mn |
| Sep 30, 2023 | 325.44 Mn |
| Jun 30, 2023 | 342.89 Mn |
| Mar 31, 2023 | 374.71 Mn |
| Dec 31, 2022 | 371.26 Mn |
| Sep 30, 2022 | 427.53 Mn |
| Jun 30, 2022 | 442.60 Mn |
| Mar 31, 2022 | 493.26 Mn |
| Dec 31, 2021 | 503.34 Mn |
| Sep 30, 2021 | 512.19 Mn |
Neighborhood Intelligence Cash & Current 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=cash-and-current-investments&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-current-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=cash-and-current-investments&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();