Neighborhood Intelligence (NXH) Shares Outstanding (2010 - 2026)
Neighborhood Intelligence (NXH) reported Shares Outstanding of 74.31 million for Q2 2026, up 29.2% from 57.5 million a year earlier and up 7.6% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Neighborhood Intelligence posted Shares Outstanding of 60.13 million, up 29.2% from FY2024.
- Shares Outstanding has increased for eight consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 46.54 million in FY2024 (+2.9%), 45.21 million in FY2023 (+2.0%), 44.32 million in FY2022 (+3.1%) and 42.98 million in FY2021 (+4.3%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q4 2010.
- Year over year, Shares Outstanding has now increased in each of the last 11 quarters, with growth averaging 20.8% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q3 2025 (growth of 31.8%); the low point was Q3 2023 (a decline of 1.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 69.05 million (Q1 2026), 60.13 million (Q4 2025) and 60.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 74.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.31 Mn |
| Mar 31, 2026 | 69.05 Mn |
| Dec 31, 2025 | 60.13 Mn |
| Sep 30, 2025 | 60.33 Mn |
| Jun 30, 2025 | 57.50 Mn |
| Mar 31, 2025 | 53.66 Mn |
| Dec 31, 2024 | 46.54 Mn |
| Sep 30, 2024 | 45.77 Mn |
| Jun 30, 2024 | 45.74 Mn |
| Mar 31, 2024 | 45.59 Mn |
| Dec 31, 2023 | 45.21 Mn |
| Sep 30, 2023 | 45.23 Mn |
| Jun 30, 2023 | 45.20 Mn |
| Mar 31, 2023 | 45.07 Mn |
| Dec 31, 2022 | 44.32 Mn |
| Sep 30, 2022 | 45.71 Mn |
| Jun 30, 2022 | 43.07 Mn |
| Mar 31, 2022 | 43.05 Mn |
| Dec 31, 2021 | 42.98 Mn |
| Sep 30, 2021 | 43.01 Mn |
API Access
Neighborhood Intelligence Shares Outstanding 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=shares-outstanding&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();