Neighborhood Intelligence (NXH) Property, Plant & Equipment (Net) (2010 - 2026)
Neighborhood Intelligence (NXH) recorded Property, Plant & Equipment (Net) of $42.88 million in Q2 2026, up 160.5% from $16.46 million a year earlier and up 240.7% from the prior quarter.
Neighborhood Intelligence (NXH) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence reported Property, Plant & Equipment (Net) of $13.71 million, down 41.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -34.5% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $23.54 million in FY2024 (-14.6%), $27.58 million in FY2023 (+2.1%), $27.02 million in FY2022 (-75.3%) and $109.48 million in FY2021 (-3.8%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in 1 of the last eight quarters, with an average decline of 15.2%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 160.5% in Q2 2026, against a decline of 75.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.59 million (Q1 2026), $13.71 million (Q4 2025) and $14.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 42.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.88 Mn |
| Mar 31, 2026 | 12.59 Mn |
| Dec 31, 2025 | 13.71 Mn |
| Sep 30, 2025 | 14.79 Mn |
| Jun 30, 2025 | 16.46 Mn |
| Mar 31, 2025 | 19.50 Mn |
| Dec 31, 2024 | 23.54 Mn |
| Sep 30, 2024 | 27.21 Mn |
| Jun 30, 2024 | 27.86 Mn |
| Mar 31, 2024 | 27.34 Mn |
| Dec 31, 2023 | 27.58 Mn |
| Sep 30, 2023 | 109.66 Mn |
| Jun 30, 2023 | 109.95 Mn |
| Mar 31, 2023 | 107.06 Mn |
| Dec 31, 2022 | 27.02 Mn |
| Sep 30, 2022 | 107.18 Mn |
| Jun 30, 2022 | 108.04 Mn |
| Mar 31, 2022 | 108.45 Mn |
| Dec 31, 2021 | 109.48 Mn |
| Sep 30, 2021 | 109.78 Mn |
Neighborhood Intelligence Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();