Neighborhood Intelligence (NXH) Other Non-Current Assets (2010 - 2026)
Neighborhood Intelligence's Other Non-Current Assets came in at $33.82 million for Q2 2026, up 14.1% from $29.64 million a year earlier but down 54.8% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Other Non-Current Assets was $48.55 million, up 64.9% from FY2024.
- Other Non-Current Assets carries a five-year compound annual growth rate of -14.5% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $29.45 million in FY2024 (-45.9%), $54.46 million in FY2023 (-34.3%), $82.88 million in FY2022 and $3.24 million in FY2021 (-97.0%).
- The five-year range for quarterly Other Non-Current Assets is $2.72 million (Q3 2022) to $82.88 million (Q4 2022).
- Year-over-year, Other Non-Current Assets has increased for three consecutive quarters, with growth averaging 47.9% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q3 2023 (growth of 400.4%), and the weakest in Q1 2022 (a decline of 98.1%).
- Business Quant data shows NXH's Other Non-Current Assets at $74.74 million (Q1 2026), $48.55 million (Q4 2025) and $32.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 284.13 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 836.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.82 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 347.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 302.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.95 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 199.62 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 229.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 336.18 Mn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 33.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.82 Mn |
| Mar 31, 2026 | 74.74 Mn |
| Dec 31, 2025 | 48.55 Mn |
| Sep 30, 2025 | 32.26 Mn |
| Jun 30, 2025 | 29.64 Mn |
| Mar 31, 2025 | 24.96 Mn |
| Dec 31, 2024 | 29.45 Mn |
| Sep 30, 2024 | 53.02 Mn |
| Jun 30, 2024 | 54.47 Mn |
| Mar 31, 2024 | 54.47 Mn |
| Dec 31, 2023 | 54.46 Mn |
| Sep 30, 2023 | 13.61 Mn |
| Jun 30, 2023 | 13.58 Mn |
| Mar 31, 2023 | 12.54 Mn |
| Dec 31, 2022 | 82.88 Mn |
| Sep 30, 2022 | 2.72 Mn |
| Jun 30, 2022 | 2.79 Mn |
| Mar 31, 2022 | 2.85 Mn |
| Dec 31, 2021 | 3.24 Mn |
| Sep 30, 2021 | 2.78 Mn |
API Access
Neighborhood Intelligence Other Non-Current Assets 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=other-non-current-assets&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();