Neighborhood Intelligence (NXH) Change in Cash (2011 - 2026)
Neighborhood Intelligence (NXH) posted Change in Cash of -$36.13 million for Q2 2026, compared with $6.05 million a year earlier.
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Analysis
Neighborhood Intelligence (NXH) Change in Cash (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Cash at Neighborhood Intelligence was -$21.16 million; for FY2025, it was $16.13 million.
- Annual Change in Cash shows a five-year compound annual growth rate of -47.5% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Change in Cash was -$116.66 million in FY2024, -$68.71 million in FY2023, -$131.91 million in FY2022 and -$15.82 million in FY2021.
- Quarterly Change in Cash has run from a low of -$70.15 million in Q2 2024 to a high of $46.89 million in Q3 2025 over five years.
- According to Business Quant data, Change in Cash for the three prior quarters was -$39.72 million (Q1 2026), $7.8 million (Q4 2025) and $46.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -23.77 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 500.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 424.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 2.39 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 157.76 Mn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 1.88 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 231.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 9.55 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | -31.76 Mn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | -36.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.13 Mn |
| Mar 31, 2026 | -39.72 Mn |
| Dec 31, 2025 | 7.80 Mn |
| Sep 30, 2025 | 46.89 Mn |
| Jun 30, 2025 | 6.05 Mn |
| Mar 31, 2025 | -44.61 Mn |
| Dec 31, 2024 | 44.60 Mn |
| Sep 30, 2024 | -44.85 Mn |
| Jun 30, 2024 | -70.15 Mn |
| Mar 31, 2024 | -46.26 Mn |
| Dec 31, 2023 | -22.72 Mn |
| Sep 30, 2023 | -17.60 Mn |
| Jun 30, 2023 | -31.85 Mn |
| Mar 31, 2023 | 3.47 Mn |
| Dec 31, 2022 | -56.28 Mn |
| Sep 30, 2022 | -15.05 Mn |
| Jun 30, 2022 | -50.69 Mn |
| Mar 31, 2022 | -9.89 Mn |
| Dec 31, 2021 | -9.05 Mn |
| Sep 30, 2021 | -25.24 Mn |
API Access
Neighborhood Intelligence Change in Cash 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=change-in-cash&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();