Neighborhood Intelligence (NXH) Intangibles (2014 - 2026)
Neighborhood Intelligence (NXH) recorded Intangibles of $46.42 million in Q2 2026, up 42.5% from $32.58 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Intangibles (2014 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence reported Intangibles of $45.14 million, up 49.2% from FY2024.
- Annual Intangibles has a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $30.25 million in FY2024 (+19.8%), $25.25 million in FY2023 and $9,000 in FY2022.
- The Q2 2026 figure is the highest quarterly Intangibles in data going back to Q4 2014.
- On a year-over-year basis, Intangibles has increased for nine consecutive quarters, with growth averaging 28.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Intangibles ran from 5.4% in Q2 2025 to 49.2% in Q4 2025.
- Per Business Quant, the preceding three quarters came in at $45.08 million (Q1 2026), $45.14 million (Q4 2025) and $45.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 10.48 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 5.71 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 53.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 46.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.42 Mn |
| Mar 31, 2026 | 45.08 Mn |
| Dec 31, 2025 | 45.14 Mn |
| Sep 30, 2025 | 45.34 Mn |
| Jun 30, 2025 | 32.58 Mn |
| Mar 31, 2025 | 32.77 Mn |
| Dec 31, 2024 | 30.25 Mn |
| Sep 30, 2024 | 30.51 Mn |
| Jun 30, 2024 | 30.92 Mn |
| Mar 31, 2024 | 31.08 Mn |
| Dec 31, 2023 | 25.25 Mn |
| Sep 30, 2023 | 25.50 Mn |
| Jun 30, 2023 | 25.58 Mn |
| Dec 31, 2022 | 9,000.00 |
| Dec 31, 2020 | 14.00 Mn |
| Sep 30, 2020 | 9.01 Mn |
| Jun 30, 2020 | 9.92 Mn |
| Mar 31, 2020 | 10.84 Mn |
| Dec 31, 2019 | 11.76 Mn |
| Sep 30, 2019 | 12.88 Mn |
API Access
Neighborhood Intelligence Intangibles 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=intangibles&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();