Neighborhood Intelligence (NXH) Capital Expenditures (2011 - 2026)
Neighborhood Intelligence's Capital Expenditures came in at $3.62 million for Q2 2026, up 99.8% from $1.81 million a year earlier and up 252.7% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Capital Expenditures (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neighborhood Intelligence reported Capital Expenditures of $9.06 million, down 3.2% year-over-year; for FY2025, it came in at $7.41 million, down 48.3% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $14.32 million in FY2024 (-25.4%), $19.18 million in FY2023 (+28.7%), $14.9 million in FY2022 (+9.4%) and $13.62 million in FY2021 (-8.5%).
- The Q2 2026 figure represents the highest quarterly Capital Expenditures since Q2 2024.
- Year-over-year, Capital Expenditures increased in two of the last eight quarters, with an average decline of 13.9%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2023 (growth of 115.6%), and the weakest in Q1 2025 (a decline of 65.5%).
- Business Quant data shows NXH's Capital Expenditures at $1.03 million (Q1 2026), $2.16 million (Q4 2025) and $2.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | 3.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.62 Mn |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 2.16 Mn |
| Sep 30, 2025 | 2.26 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | 1.18 Mn |
| Dec 31, 2024 | 2.99 Mn |
| Sep 30, 2024 | 3.38 Mn |
| Jun 30, 2024 | 4.53 Mn |
| Mar 31, 2024 | 3.42 Mn |
| Dec 31, 2023 | 2.64 Mn |
| Sep 30, 2023 | 4.50 Mn |
| Jun 30, 2023 | 6.79 Mn |
| Mar 31, 2023 | 5.26 Mn |
| Dec 31, 2022 | 5.18 Mn |
| Sep 30, 2022 | 3.32 Mn |
| Jun 30, 2022 | 3.15 Mn |
| Mar 31, 2022 | 3.26 Mn |
| Dec 31, 2021 | 3.96 Mn |
| Sep 30, 2021 | 4.04 Mn |
API Access
Neighborhood Intelligence Capital Expenditures 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=capital-expenditures&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();