Neighborhood Intelligence (NXH) Current Assets (2010 - 2026)
Neighborhood Intelligence (NXH) reported Current Assets of $237.37 million for Q2 2026, up 21.2% from $195.86 million a year earlier and up 20.7% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence posted Current Assets of $240.12 million, up 5.5% from FY2024.
- Current Assets has a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- By year, Current Assets came in at $227.51 million in FY2024 (-35.0%), $350.07 million in FY2023 (-15.5%), $414.51 million in FY2022 (-24.9%) and $551.79 million in FY2021 (-5.3%).
- Five-year quarterly Current Assets spans a low of $183.08 million in Q3 2024 and a high of $564.67 million in Q3 2021.
- Year over year, Current Assets has now increased in each of the last four quarters, with an average decline of 10.5% over the last eight quarters.
- The high point for year-over-year Current Assets in five years was Q3 2025 (growth of 26.6%); the low point was Q3 2024 (a decline of 51.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $196.72 million (Q1 2026), $240.12 million (Q4 2025) and $231.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 249.26 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 37.72 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 15.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 23.34 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 7.88 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 20.93 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 7.20 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 8.01 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 8.93 Bn |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn | 237.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237.37 Mn |
| Mar 31, 2026 | 196.72 Mn |
| Dec 31, 2025 | 240.12 Mn |
| Sep 30, 2025 | 231.80 Mn |
| Jun 30, 2025 | 195.86 Mn |
| Mar 31, 2025 | 196.46 Mn |
| Dec 31, 2024 | 227.51 Mn |
| Sep 30, 2024 | 183.08 Mn |
| Jun 30, 2024 | 232.21 Mn |
| Mar 31, 2024 | 305.44 Mn |
| Dec 31, 2023 | 350.07 Mn |
| Sep 30, 2023 | 375.73 Mn |
| Jun 30, 2023 | 388.88 Mn |
| Mar 31, 2023 | 421.25 Mn |
| Dec 31, 2022 | 414.51 Mn |
| Sep 30, 2022 | 475.30 Mn |
| Jun 30, 2022 | 491.77 Mn |
| Mar 31, 2022 | 543.81 Mn |
| Dec 31, 2021 | 551.79 Mn |
| Sep 30, 2021 | 564.67 Mn |
API Access
Neighborhood Intelligence Current 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=current-assets&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();