Neighborhood Intelligence (NXH) Prepaid Assets (2010 - 2026)
Neighborhood Intelligence (NXH) reported Prepaid Assets of $29.04 million for Q2 2026, up 75.3% from $16.57 million a year earlier and up 198.9% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence posted Prepaid Assets of $11.91 million, down 15.1% from FY2024.
- Prepaid Assets has declined for five consecutive years, with a five-year compound annual growth rate of -12.2% (FY2020 to FY2025).
- By year, Prepaid Assets came in at $14.02 million in FY2024 (-5.7%), $14.86 million in FY2023 (-21.1%), $18.83 million in FY2022 (-14.8%) and $22.1 million in FY2021 (-3.4%).
- The Q2 2026 figure ranks as the highest quarterly Prepaid Assets in data going back to Q4 2010.
- Year over year, Prepaid Assets gained in two of the last eight quarters, with growth averaging 0.3%.
- The high point for year-over-year Prepaid Assets in five years was Q2 2026 (growth of 75.3%); the low point was Q1 2024 (a decline of 28.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.71 million (Q1 2026), $11.91 million (Q4 2025) and $12.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.04 Mn |
| Mar 31, 2026 | 9.71 Mn |
| Dec 31, 2025 | 11.91 Mn |
| Sep 30, 2025 | 12.87 Mn |
| Jun 30, 2025 | 16.57 Mn |
| Mar 31, 2025 | 12.32 Mn |
| Dec 31, 2024 | 14.02 Mn |
| Sep 30, 2024 | 15.50 Mn |
| Jun 30, 2024 | 15.07 Mn |
| Mar 31, 2024 | 12.96 Mn |
| Dec 31, 2023 | 14.86 Mn |
| Sep 30, 2023 | 19.16 Mn |
| Jun 30, 2023 | 20.37 Mn |
| Mar 31, 2023 | 18.01 Mn |
| Dec 31, 2022 | 18.83 Mn |
| Sep 30, 2022 | 20.75 Mn |
| Jun 30, 2022 | 20.23 Mn |
| Mar 31, 2022 | 21.16 Mn |
| Dec 31, 2021 | 22.10 Mn |
| Sep 30, 2021 | 21.30 Mn |
API Access
Neighborhood Intelligence Prepaid Assets 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=prepaid-assets&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();