Neighborhood Intelligence (NXH) Revenue (2010 - 2026)
Neighborhood Intelligence's Revenue was $361.16 million in Q2 2026, up 28.0% from $282.25 million a year earlier and up 45.8% from the prior quarter.
Powered by 
Analysis
Neighborhood Intelligence (NXH) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Neighborhood Intelligence's Revenue was $1.14 billion through Jun 30, 2026, up 1.0% year-over-year; for FY2025, it was $1.04 billion, down 25.1% from FY2024.
- Revenue has now declined for four consecutive years, with a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- In earlier years, Revenue was $1.39 billion in FY2024 (-10.6%), $1.56 billion in FY2023 (-19.1%), $1.93 billion in FY2022 (-30.0%) and $2.76 billion in FY2021 (+10.5%).
- The Q2 2026 figure marks the highest quarterly Revenue since Q2 2024.
- Compared with a year earlier, Revenue was higher in two of the last eight quarters, with an average decline of 12.3%.
- The best year-over-year quarter for Revenue over five years was Q2 2026 (growth of 28.0%); the worst was Q1 2025 (a decline of 39.4%).
- Per Business Quant data, NXH's Revenue in the three quarters before Q2 2026 was $247.76 million (Q1 2026), $273.43 million (Q4 2025) and $257.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 361.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 361.16 Mn |
| Mar 31, 2026 | 247.76 Mn |
| Dec 31, 2025 | 273.43 Mn |
| Sep 30, 2025 | 257.19 Mn |
| Jun 30, 2025 | 282.25 Mn |
| Mar 31, 2025 | 231.75 Mn |
| Dec 31, 2024 | 303.15 Mn |
| Sep 30, 2024 | 311.43 Mn |
| Jun 30, 2024 | 398.10 Mn |
| Mar 31, 2024 | 382.28 Mn |
| Dec 31, 2023 | 384.46 Mn |
| Sep 30, 2023 | 373.31 Mn |
| Jun 30, 2023 | 422.21 Mn |
| Mar 31, 2023 | 381.14 Mn |
| Dec 31, 2022 | 404.90 Mn |
| Sep 30, 2022 | 460.28 Mn |
| Jun 30, 2022 | 528.12 Mn |
| Mar 31, 2022 | 536.04 Mn |
| Dec 31, 2021 | 612.66 Mn |
| Sep 30, 2021 | 689.39 Mn |
API Access
Neighborhood Intelligence Revenue 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=revenue&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();