Neighborhood Intelligence (NXH) Interest Coverage Ratio (2010 - 2020)
Neighborhood Intelligence's (NXH) Interest Coverage Ratio came in at -52.14 for FY2025, compared with -83.56 in FY2024.
Analysis
Neighborhood Intelligence (NXH) Interest Coverage Ratio (2010 - 2020) Analysis & Trends
Since FY2009, Neighborhood Intelligence has reported Interest Coverage Ratio for 16 years.
- The FY2025 figure stands as the highest annual Interest Coverage Ratio since FY2022.
- Business Quant data shows NXH's Interest Coverage Ratio at -83.56 in FY2024, -81.71 in FY2023 and 13.94 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 20.90 |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 11.73 |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.12 |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 14.11 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 6.73 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 37.02 |
| Sep 30, 2020 | 67.12 |
| Jun 30, 2020 | 82.99 |
| Mar 31, 2020 | -66.53 |
| Dec 31, 2019 | -595.53 |
| Sep 30, 2019 | -528.60 |
| Jun 30, 2019 | -245.50 |
| Mar 31, 2019 | -283.61 |
| Dec 31, 2018 | -494.33 |
| Sep 30, 2018 | -473.58 |
| Jun 30, 2018 | -168.45 |
| Mar 31, 2018 | -62.24 |
| Dec 31, 2017 | -28.46 |
| Sep 30, 2017 | -16.65 |
| Jun 30, 2017 | -13.59 |
| Mar 31, 2017 | -3.26 |
| Dec 31, 2016 | -0.52 |
| Sep 30, 2016 | -23.81 |
| Jun 30, 2016 | -1,101.80 |
| Mar 31, 2016 | 8,906.50 |
API Access
Neighborhood Intelligence Interest Coverage Ratio 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=interest-coverage-ratio&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();