Neighborhood Intelligence (NXH) Common Equity (2010 - 2026)
Neighborhood Intelligence's Common Equity came in at $215.09 million for Q2 2026, up 63.9% from $131.21 million a year earlier and up 6.2% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Common Equity (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence's Common Equity was $217.94 million, up 33.9% from FY2024.
- Common Equity carries a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- Going back by year, Common Equity was $162.73 million in FY2024 (-54.7%), $359.13 million in FY2023 (-44.4%), $645.83 million in FY2022 (-13.2%) and $744.39 million in FY2021 (+70.6%).
- The five-year range for quarterly Common Equity is $131.21 million (Q2 2025) to $744.39 million (Q4 2021).
- Year-over-year, Common Equity has increased for four consecutive quarters, with an average decline of 9.0% over the last eight quarters.
- The fastest year-over-year change in Common Equity over five years came in Q4 2021 (growth of 70.6%), and the weakest in Q3 2024 (a decline of 62.0%).
- Business Quant data shows NXH's Common Equity at $202.45 million (Q1 2026), $217.94 million (Q4 2025) and $202.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 551.62 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 16.62 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 10.65 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | -7.44 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 6.74 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 17.84 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | -1.84 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 5.14 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | -2.78 Bn |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn | 215.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215.09 Mn |
| Mar 31, 2026 | 202.45 Mn |
| Dec 31, 2025 | 217.94 Mn |
| Sep 30, 2025 | 202.94 Mn |
| Jun 30, 2025 | 131.21 Mn |
| Mar 31, 2025 | 143.37 Mn |
| Dec 31, 2024 | 162.73 Mn |
| Sep 30, 2024 | 196.19 Mn |
| Jun 30, 2024 | 250.35 Mn |
| Mar 31, 2024 | 287.75 Mn |
| Dec 31, 2023 | 359.13 Mn |
| Sep 30, 2023 | 516.18 Mn |
| Jun 30, 2023 | 573.17 Mn |
| Mar 31, 2023 | 640.51 Mn |
| Dec 31, 2022 | 645.83 Mn |
| Sep 30, 2022 | 676.65 Mn |
| Jun 30, 2022 | 708.71 Mn |
| Mar 31, 2022 | 732.61 Mn |
| Dec 31, 2021 | 744.39 Mn |
| Sep 30, 2021 | 709.11 Mn |
API Access
Neighborhood Intelligence Common Equity 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=common-equity&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "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=common-equity&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();