Neighborhood Intelligence (NXH) Total Current Liabilities (2010 - 2026)
Neighborhood Intelligence (NXH) posted Total Current Liabilities of $312.17 million for Q2 2026, up 44.9% from $215.44 million a year earlier and up 64.2% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Total Current Liabilities came in at $192.15 million, down 14.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Total Current Liabilities was $224.86 million in FY2024 (-3.2%), $232.4 million in FY2023 (+21.6%), $191.14 million in FY2022 (-29.8%) and $272.33 million in FY2021 (-16.9%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q2 2021.
- On a year-over-year basis, Total Current Liabilities increased in three of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2026, with growth of 44.9%; the weakest was Q2 2022, with a decline of 31.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $190.1 million (Q1 2026), $192.15 million (Q4 2025) and $197.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 10.04 Bn |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn | 312.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.17 Mn |
| Mar 31, 2026 | 190.10 Mn |
| Dec 31, 2025 | 192.15 Mn |
| Sep 30, 2025 | 197.79 Mn |
| Jun 30, 2025 | 215.44 Mn |
| Mar 31, 2025 | 206.15 Mn |
| Dec 31, 2024 | 224.86 Mn |
| Sep 30, 2024 | 189.04 Mn |
| Jun 30, 2024 | 203.05 Mn |
| Mar 31, 2024 | 245.88 Mn |
| Dec 31, 2023 | 232.40 Mn |
| Sep 30, 2023 | 209.39 Mn |
| Jun 30, 2023 | 197.14 Mn |
| Mar 31, 2023 | 206.12 Mn |
| Dec 31, 2022 | 191.14 Mn |
| Sep 30, 2022 | 233.29 Mn |
| Jun 30, 2022 | 253.64 Mn |
| Mar 31, 2022 | 284.58 Mn |
| Dec 31, 2021 | 272.33 Mn |
| Sep 30, 2021 | 302.48 Mn |
API Access
Neighborhood Intelligence Total 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-current-liabilities&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();