Neighborhood Intelligence (NXH) Receivables - Net (2010 - 2026)
Neighborhood Intelligence's Receivables - Net came in at $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 - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Receivables - Net was $20.83 million, up 31.4% from FY2024.
- Receivables - Net carries a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- Going back by year, Receivables - Net was $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 represents the highest quarterly Receivables - Net since Q2 2021.
- Year-over-year, Receivables - Net has increased for five consecutive quarters, with growth averaging 8.6% over the last eight quarters.
- The fastest year-over-year change in Receivables - Net over five years came in Q1 2026 (growth of 32.8%), and the weakest in Q1 2022 (a decline of 38.3%).
- Business Quant data shows NXH's Receivables - Net at $24.01 million (Q1 2026), $20.83 million (Q4 2025) and $17.31 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 | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 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 - Net 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-net&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();