Neighborhood Intelligence (NXH) Times Interest Earned (2010 - 2020)
Neighborhood Intelligence's Times Interest Earned came in at -52.14 for FY2025, compared with -83.56 in FY2024.
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Analysis
Neighborhood Intelligence (NXH) Times Interest Earned (2010 - 2020) Analysis & Trends
Going back to FY2009, Neighborhood Intelligence's Times Interest Earned data covers 16 years.
- The FY2025 figure represents the highest annual Times Interest Earned since FY2022.
- Per Business Quant, earlier years put Times Interest Earned 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) | Times Interest Earned (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 Times Interest Earned 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=times-interest-earned&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();