Neighborhood Intelligence (NXH) Accounts Payables (2010 - 2026)
Neighborhood Intelligence (NXH) posted Accounts Payables of $140.53 million for Q2 2026, up 26.1% from $111.41 million a year earlier and up 53.5% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Accounts Payables came in at $89.99 million, up 9.8% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Accounts Payables was $81.94 million in FY2024 (-22.8%), $106.07 million in FY2023 (+41.2%), $75.13 million in FY2022 (-26.6%) and $102.29 million in FY2021 (-6.8%).
- The Q2 2026 figure stands as the highest quarterly Accounts Payables since Q2 2021.
- On a year-over-year basis, Accounts Payables has increased in each of the last five quarters, with growth averaging 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2023, with growth of 41.2%; the weakest was Q2 2022, with a decline of 42.3%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $91.53 million (Q1 2026), $89.99 million (Q4 2025) and $94.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.59 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.46 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 140.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.53 Mn |
| Mar 31, 2026 | 91.53 Mn |
| Dec 31, 2025 | 89.99 Mn |
| Sep 30, 2025 | 94.23 Mn |
| Jun 30, 2025 | 111.41 Mn |
| Mar 31, 2025 | 78.04 Mn |
| Dec 31, 2024 | 81.94 Mn |
| Sep 30, 2024 | 87.96 Mn |
| Jun 30, 2024 | 91.21 Mn |
| Mar 31, 2024 | 116.27 Mn |
| Dec 31, 2023 | 106.07 Mn |
| Sep 30, 2023 | 85.27 Mn |
| Jun 30, 2023 | 86.02 Mn |
| Mar 31, 2023 | 83.62 Mn |
| Dec 31, 2022 | 75.13 Mn |
| Sep 30, 2022 | 84.65 Mn |
| Jun 30, 2022 | 96.23 Mn |
| Mar 31, 2022 | 106.38 Mn |
| Dec 31, 2021 | 102.29 Mn |
| Sep 30, 2021 | 124.76 Mn |
API Access
Neighborhood Intelligence Accounts Payables 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=accounts-payables&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();