Neighborhood Intelligence (NXH) Asset Writedowns and Impairment (2017 - 2024)
Neighborhood Intelligence (NXH) recorded Asset Writedowns and Impairment of $1.74 million in Q4 2024, down 93.3% from $25.88 million a year earlier.
Neighborhood Intelligence (NXH) Asset Writedowns and Impairment (2017 - 2024) Analysis & Trends
For FY2024, Neighborhood Intelligence reported Asset Writedowns and Impairment of $3.39 million, down 86.9% from FY2023.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of -13.7% (FY2019 to FY2024).
- Across earlier years, Asset Writedowns and Impairment came in at $25.88 million in FY2023 and $1.02 million in FY2020 (-85.7%).
- The Q4 2024 figure is the lowest quarterly Asset Writedowns and Impairment since Q4 2020.
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 |
|---|---|
| Dec 31, 2024 | 1.74 Mn |
| Dec 31, 2023 | 25.88 Mn |
| Dec 31, 2020 | 204,000.00 |
| Sep 30, 2020 | 813,000.00 |
| Dec 31, 2019 | 126,000.00 |
| Sep 30, 2019 | 2.75 Mn |
| Jun 30, 2019 | 1.26 Mn |
| Mar 31, 2019 | 2.96 Mn |
| Mar 31, 2017 | 4.50 Mn |
Neighborhood Intelligence Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();