Neighborhood Intelligence (NXH) Market Capitalization (2010 - 2026)
Neighborhood Intelligence (NXH) posted Market Capitalization of $473.39 million for Q2 2026, up 19.9% from $394.95 million a year earlier and up 47.1% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2025, Neighborhood Intelligence's Market Capitalization came in at $375.99 million, up 43.7% from FY2024.
- Annual Market Capitalization shows a five-year compound annual growth rate of -28.8% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Market Capitalization was $261.63 million in FY2024 (-79.2%), $1.26 billion in FY2023 (+44.5%), $870.25 million in FY2022 (-65.7%) and $2.54 billion in FY2021 (+23.7%).
- Quarterly Market Capitalization has run from a low of $261.63 million in Q4 2024 to a high of $3.35 billion in Q3 2021 over five years.
- On a year-over-year basis, Market Capitalization increased in three of the last eight quarters, with an average decline of 16.2%.
- The strongest year-over-year quarter for Market Capitalization in the past five years was Q1 2024, with growth of 79.3%; the weakest was Q1 2025, with a decline of 79.9%.
- According to Business Quant data, Market Capitalization for the three prior quarters was $321.81 million (Q1 2026), $375.99 million (Q4 2025) and $636.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 | 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 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 473.39 Mn |
| Mar 31, 2026 | 321.81 Mn |
| Dec 31, 2025 | 375.99 Mn |
| Sep 30, 2025 | 636.19 Mn |
| Jun 30, 2025 | 394.95 Mn |
| Mar 31, 2025 | 329.63 Mn |
| Dec 31, 2024 | 261.63 Mn |
| Sep 30, 2024 | 461.84 Mn |
| Jun 30, 2024 | 598.41 Mn |
| Mar 31, 2024 | 1.64 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 30, 2023 | 716.73 Mn |
| Jun 30, 2023 | 1.47 Bn |
| Mar 31, 2023 | 916.02 Mn |
| Dec 31, 2022 | 870.25 Mn |
| Sep 30, 2022 | 1.11 Bn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 1.88 Bn |
| Dec 31, 2021 | 2.54 Bn |
| Sep 30, 2021 | 3.35 Bn |
API Access
Neighborhood Intelligence Market Capitalization 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=market-capitalization&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();