Neighborhood Intelligence (NXH) Other Non-Current Liabilities (2010 - 2026)
Neighborhood Intelligence's Other Non-Current Liabilities came in at $10.37 million for Q2 2026, up 94.5% from $5.33 million a year earlier and up 59.6% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Other Non-Current Liabilities was $9.75 million, up 23.2% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $7.91 million in FY2024 (-13.2%), $9.11 million in FY2023 (+162.0%), $3.48 million in FY2022 (+5.2%) and $3.3 million in FY2021 (-19.1%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Liabilities since Q4 2017.
- Year-over-year, Other Non-Current Liabilities increased in two of the last eight quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q3 2023 (growth of 234.5%), and the weakest in Q3 2022 (a decline of 48.1%).
- Business Quant data shows NXH's Other Non-Current Liabilities at $6.5 million (Q1 2026), $9.75 million (Q4 2025) and $7.77 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.37 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Dec 31, 2025 | 9.75 Mn |
| Sep 30, 2025 | 7.77 Mn |
| Jun 30, 2025 | 5.33 Mn |
| Mar 31, 2025 | 7.92 Mn |
| Dec 31, 2024 | 7.91 Mn |
| Sep 30, 2024 | 8.52 Mn |
| Jun 30, 2024 | 8.74 Mn |
| Mar 31, 2024 | 8.85 Mn |
| Dec 31, 2023 | 9.11 Mn |
| Sep 30, 2023 | 9.36 Mn |
| Jun 30, 2023 | 3.71 Mn |
| Mar 31, 2023 | 3.58 Mn |
| Dec 31, 2022 | 3.48 Mn |
| Sep 30, 2022 | 2.80 Mn |
| Jun 30, 2022 | 3.13 Mn |
| Mar 31, 2022 | 3.59 Mn |
| Dec 31, 2021 | 3.30 Mn |
| Sep 30, 2021 | 5.39 Mn |
API Access
Neighborhood Intelligence Other 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=other-non-current-liabilities&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();