Neighborhood Intelligence (NXH) Non-Current Assets (2010 - 2026)
Neighborhood Intelligence (NXH) recorded Non-Current Assets of $396.78 million in Q2 2026, up 144.6% from $162.22 million a year earlier and up 91.0% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence reported Non-Current Assets of $185.36 million, up 6.3% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $174.45 million in FY2024 (-39.0%), $285.75 million in FY2023 (-38.4%), $464.04 million in FY2022 (-9.8%) and $514.18 million in FY2021 (+107.8%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q2 2023.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 144.6% in Q2 2026, against a decline of 41.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $207.74 million (Q1 2026), $185.36 million (Q4 2025) and $182.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn | 396.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 396.78 Mn |
| Mar 31, 2026 | 207.74 Mn |
| Dec 31, 2025 | 185.36 Mn |
| Sep 30, 2025 | 182.57 Mn |
| Jun 30, 2025 | 162.22 Mn |
| Mar 31, 2025 | 167.26 Mn |
| Dec 31, 2024 | 174.45 Mn |
| Sep 30, 2024 | 245.26 Mn |
| Jun 30, 2024 | 264.58 Mn |
| Mar 31, 2024 | 271.81 Mn |
| Dec 31, 2023 | 285.75 Mn |
| Sep 30, 2023 | 395.06 Mn |
| Jun 30, 2023 | 421.67 Mn |
| Mar 31, 2023 | 466.14 Mn |
| Dec 31, 2022 | 464.04 Mn |
| Sep 30, 2022 | 476.93 Mn |
| Jun 30, 2022 | 515.18 Mn |
| Mar 31, 2022 | 520.64 Mn |
| Dec 31, 2021 | 514.18 Mn |
| Sep 30, 2021 | 500.25 Mn |
API Access
Neighborhood Intelligence Non-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=non-current-assets&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();