Neighborhood Intelligence (NXH) Liabilities from Discontinued Operations (2020 - 2024)
Neighborhood Intelligence's Liabilities from Discontinued Operations came in at $34.23 million for Q3 2024, unchanged from the prior quarter.
Neighborhood Intelligence (NXH) Liabilities from Discontinued Operations (2020 - 2024) Analysis & Trends
At the end of FY2023, Neighborhood Intelligence's Liabilities from Discontinued Operations was $34.24 million, down 0.7% from FY2022.
- Liabilities from Discontinued Operations carries a three-year compound annual growth rate of 64.6% (FY2020 to FY2023).
- Going back by year, Liabilities from Discontinued Operations was $34.48 million in FY2022 and $7.69 million in FY2020.
- The five-year range for quarterly Liabilities from Discontinued Operations is $7.69 million (Q4 2020) to $34.48 million (Q4 2022).
- Business Quant data shows NXH's Liabilities from Discontinued Operations at $34.22 million (Q2 2024), $34.21 million (Q1 2024) and $34.24 million (Q4 2023) in the three quarters before Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 34.23 Mn |
| Jun 30, 2024 | 34.22 Mn |
| Mar 31, 2024 | 34.21 Mn |
| Dec 31, 2023 | 34.24 Mn |
| Dec 31, 2022 | 34.48 Mn |
| Mar 31, 2021 | 19.03 Mn |
| Dec 31, 2020 | 7.69 Mn |
Neighborhood Intelligence Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();