Neighborhood Intelligence (NXH) Receivables (2010 - 2026)
Neighborhood Intelligence (NXH) reported Receivables of $29.8 million for Q2 2026, up 27.6% from $23.35 million a year earlier and up 24.1% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence posted Receivables of $20.83 million, up 31.4% from FY2024.
- Receivables has a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- By year, Receivables came in at $15.85 million in FY2024 (-18.4%), $19.42 million in FY2023 (+9.8%), $17.69 million in FY2022 (-16.5%) and $21.19 million in FY2021 (-7.3%).
- The Q2 2026 figure ranks as the highest quarterly Receivables since Q2 2021.
- Year over year, Receivables has now increased in each of the last five quarters, with growth averaging 8.6% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q1 2026 (growth of 32.8%); the low point was Q1 2022 (a decline of 38.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.01 million (Q1 2026), $20.83 million (Q4 2025) and $17.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 764.92 Mn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 29.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.80 Mn |
| Mar 31, 2026 | 24.01 Mn |
| Dec 31, 2025 | 20.83 Mn |
| Sep 30, 2025 | 17.31 Mn |
| Jun 30, 2025 | 23.35 Mn |
| Mar 31, 2025 | 18.07 Mn |
| Dec 31, 2024 | 15.85 Mn |
| Sep 30, 2024 | 15.03 Mn |
| Jun 30, 2024 | 18.69 Mn |
| Mar 31, 2024 | 23.09 Mn |
| Dec 31, 2023 | 19.42 Mn |
| Sep 30, 2023 | 19.58 Mn |
| Jun 30, 2023 | 19.12 Mn |
| Mar 31, 2023 | 22.07 Mn |
| Dec 31, 2022 | 17.69 Mn |
| Sep 30, 2022 | 20.75 Mn |
| Jun 30, 2022 | 23.09 Mn |
| Mar 31, 2022 | 23.75 Mn |
| Dec 31, 2021 | 21.19 Mn |
| Sep 30, 2021 | 25.17 Mn |
API Access
Neighborhood Intelligence Receivables 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=receivables&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();