Neighborhood Intelligence (NXH) Assets (2010 - 2026)
Neighborhood Intelligence (NXH) recorded Assets of $634.15 million in Q2 2026, up 77.1% from $358.07 million a year earlier and up 56.8% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence reported Assets of $425.48 million, up 5.9% from FY2024.
- Annual Assets has a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- Across earlier years, Assets came in at $401.95 million in FY2024 (-36.8%), $635.82 million in FY2023 (-27.6%), $878.55 million in FY2022 (-17.6%) and $1.07 billion in FY2021 (+28.4%).
- The Q2 2026 figure is the highest quarterly Assets since Q4 2023.
- On a year-over-year basis, Assets has increased for three consecutive quarters, with an average decline of 6.9% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 77.1% in Q2 2026, against a decline of 44.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $404.45 million (Q1 2026), $425.48 million (Q4 2025) and $414.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 15.98 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 61.24 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 17.39 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 14.55 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 20.92 Bn |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn | 634.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 634.15 Mn |
| Mar 31, 2026 | 404.45 Mn |
| Dec 31, 2025 | 425.48 Mn |
| Sep 30, 2025 | 414.38 Mn |
| Jun 30, 2025 | 358.07 Mn |
| Mar 31, 2025 | 363.73 Mn |
| Dec 31, 2024 | 401.95 Mn |
| Sep 30, 2024 | 428.34 Mn |
| Jun 30, 2024 | 496.78 Mn |
| Mar 31, 2024 | 577.26 Mn |
| Dec 31, 2023 | 635.82 Mn |
| Sep 30, 2023 | 770.78 Mn |
| Jun 30, 2023 | 810.55 Mn |
| Mar 31, 2023 | 887.39 Mn |
| Dec 31, 2022 | 878.55 Mn |
| Sep 30, 2022 | 952.24 Mn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 1.06 Bn |
API Access
Neighborhood Intelligence 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=assets&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();