Neighborhood Intelligence (NXH) Total Non-Current Liabilities (2010 - 2026)
Neighborhood Intelligence (NXH) recorded Total Non-Current Liabilities of $408.69 million in Q2 2026, up 84.5% from $221.53 million a year earlier and up 109.0% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence reported Total Non-Current Liabilities of $197.79 million, down 14.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $231.31 million in FY2024 (-13.6%), $267.58 million in FY2023 (+16.7%), $229.24 million in FY2022 (-28.0%) and $318.28 million in FY2021 (-18.3%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q2 2021.
- On a year-over-year basis, Total Non-Current Liabilities rose in 1 of the last eight quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 84.5% in Q2 2026, against a decline of 30.0% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $195.5 million (Q1 2026), $197.79 million (Q4 2025) and $203.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 408.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.69 Mn |
| Mar 31, 2026 | 195.50 Mn |
| Dec 31, 2025 | 197.79 Mn |
| Sep 30, 2025 | 203.66 Mn |
| Jun 30, 2025 | 221.53 Mn |
| Mar 31, 2025 | 212.44 Mn |
| Dec 31, 2024 | 231.31 Mn |
| Sep 30, 2024 | 223.63 Mn |
| Jun 30, 2024 | 237.69 Mn |
| Mar 31, 2024 | 280.66 Mn |
| Dec 31, 2023 | 267.58 Mn |
| Sep 30, 2023 | 245.25 Mn |
| Jun 30, 2023 | 233.67 Mn |
| Mar 31, 2023 | 243.31 Mn |
| Dec 31, 2022 | 229.24 Mn |
| Sep 30, 2022 | 272.79 Mn |
| Jun 30, 2022 | 295.11 Mn |
| Mar 31, 2022 | 328.25 Mn |
| Dec 31, 2021 | 318.28 Mn |
| Sep 30, 2021 | 350.41 Mn |
API Access
Neighborhood Intelligence Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();