Neighborhood Intelligence (NXH) Inventory (2010 - 2026)
Neighborhood Intelligence's Inventory was $52.16 million in Q2 2026, up 520.2% from $8.41 million a year earlier.
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Analysis
Neighborhood Intelligence (NXH) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Neighborhood Intelligence came in at $5.16 million, down 55.3% from FY2024.
- Inventory shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In earlier years, Inventory was $11.55 million in FY2024 (-11.5%), $13.04 million in FY2023 (+99.8%), $6.53 million in FY2022 (+27.0%) and $5.14 million in FY2021 (-17.7%).
- The Q2 2026 figure marks the highest quarterly Inventory in data going back to Q4 2010.
- Compared with a year earlier, Inventory was higher in two of the last eight quarters, with growth averaging 47.1%.
- The best year-over-year quarter for Inventory over five years was Q2 2026 (growth of 520.2%); the worst was Q1 2026 (a decline of 98.0%).
- Per Business Quant data, NXH's Inventory in the three quarters before Q2 2026 was $496,000 (Q1 2026), $5.16 million (Q4 2025) and $7.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn | 52.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.16 Mn |
| Mar 31, 2026 | 496,000.00 |
| Dec 31, 2025 | 5.16 Mn |
| Sep 30, 2025 | 7.21 Mn |
| Jun 30, 2025 | 8.41 Mn |
| Mar 31, 2025 | 24.59 Mn |
| Dec 31, 2024 | 11.55 Mn |
| Sep 30, 2024 | 11.06 Mn |
| Jun 30, 2024 | 12.10 Mn |
| Mar 31, 2024 | 12.90 Mn |
| Dec 31, 2023 | 13.04 Mn |
| Sep 30, 2023 | 11.52 Mn |
| Jun 30, 2023 | 6.31 Mn |
| Mar 31, 2023 | 6.24 Mn |
| Dec 31, 2022 | 6.53 Mn |
| Sep 30, 2022 | 6.07 Mn |
| Jun 30, 2022 | 5.67 Mn |
| Mar 31, 2022 | 5.42 Mn |
| Dec 31, 2021 | 5.14 Mn |
| Sep 30, 2021 | 5.78 Mn |
API Access
Neighborhood Intelligence Inventory 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=inventory&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();