Neighborhood Intelligence (NXH) Payables (2010 - 2026)
Neighborhood Intelligence (NXH) posted Payables of $163.53 million for Q2 2026, up 25.9% from $129.88 million a year earlier and up 52.8% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Payables came in at $105.49 million, down 1.2% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Payables was $106.81 million in FY2024 (+0.7%), $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 Payables since Q2 2021.
- On a year-over-year basis, Payables increased in six of the last eight quarters, with growth averaging 11.4%.
- The strongest year-over-year quarter for Payables in the past five years was Q2 2025, with growth of 42.4%; the weakest was Q2 2022, with a decline of 42.3%.
- According to Business Quant data, Payables for the three prior quarters was $107.03 million (Q1 2026), $105.49 million (Q4 2025) and $112.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | 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 | 17.83 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 | 1.72 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 | 163.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.53 Mn |
| Mar 31, 2026 | 107.03 Mn |
| Dec 31, 2025 | 105.49 Mn |
| Sep 30, 2025 | 112.23 Mn |
| Jun 30, 2025 | 129.88 Mn |
| Mar 31, 2025 | 102.93 Mn |
| Dec 31, 2024 | 106.81 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 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=payables&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();