Neighborhood Intelligence (NXH) Goodwill & Intangibles (2010 - 2026)
Neighborhood Intelligence (NXH) posted Goodwill & Intangibles of $148.37 million for Q2 2026, up 283.0% from $38.74 million a year earlier and up 189.6% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Goodwill & Intangibles came in at $51.3 million, up 40.8% from FY2024.
- Annual Goodwill & Intangibles has increased for four consecutive years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Goodwill & Intangibles was $36.45 million in FY2024 (+15.9%), $31.45 million in FY2023 (+406.6%), $6.21 million in FY2022 (+0.1%) and $6.2 million in FY2021 (-69.3%).
- The Q2 2026 figure stands as the highest quarterly Goodwill & Intangibles in data going back to Q4 2010.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last 13 quarters, with growth averaging 54.6% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2024, with growth of 504.6%; the weakest was Q3 2021, with a decline of 82.9%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $51.24 million (Q1 2026), $51.3 million (Q4 2025) and $51.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.37 Mn |
| Mar 31, 2026 | 51.24 Mn |
| Dec 31, 2025 | 51.30 Mn |
| Sep 30, 2025 | 51.50 Mn |
| Jun 30, 2025 | 38.74 Mn |
| Mar 31, 2025 | 38.93 Mn |
| Dec 31, 2024 | 36.45 Mn |
| Sep 30, 2024 | 36.67 Mn |
| Jun 30, 2024 | 37.08 Mn |
| Mar 31, 2024 | 37.24 Mn |
| Dec 31, 2023 | 31.45 Mn |
| Sep 30, 2023 | 31.66 Mn |
| Jun 30, 2023 | 31.74 Mn |
| Mar 31, 2023 | 6.16 Mn |
| Dec 31, 2022 | 6.21 Mn |
| Sep 30, 2022 | 6.16 Mn |
| Jun 30, 2022 | 6.16 Mn |
| Mar 31, 2022 | 6.16 Mn |
| Dec 31, 2021 | 6.20 Mn |
| Sep 30, 2021 | 6.16 Mn |
API Access
Neighborhood Intelligence Goodwill & 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=goodwill-and-intangibles&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();