Neighborhood Intelligence (NXH) Interest Expenses (2010 - 2020)
Neighborhood Intelligence's Interest Expenses was $1.17 million in FY2025, down 46.7% from $2.2 million in FY2024.
Analysis
Neighborhood Intelligence (NXH) Interest Expenses (2010 - 2020) Analysis & Trends
From FY2009 onward, Neighborhood Intelligence has reported Interest Expenses for 16 years.
- Interest Expenses shows a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Interest Expenses since FY2019.
- Per Business Quant data, Interest Expenses in earlier years was $2.2 million in FY2024 (+25.0%), $1.76 million in FY2023 (-9.1%) and $1.94 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 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 | 604,000.00 |
| Sep 30, 2020 | 579,000.00 |
| Jun 30, 2020 | 588,000.00 |
| Mar 31, 2020 | 200,000.00 |
| Dec 31, 2019 | 53,000.00 |
| Sep 30, 2019 | 57,000.00 |
| Jun 30, 2019 | 105,000.00 |
| Mar 31, 2019 | 127,000.00 |
| Dec 31, 2018 | 98,000.00 |
| Sep 30, 2018 | 101,000.00 |
| Jun 30, 2018 | 395,000.00 |
| Mar 31, 2018 | 874,000.00 |
| Dec 31, 2017 | 798,000.00 |
| Sep 30, 2017 | 713,000.00 |
| Jun 30, 2017 | 716,000.00 |
| Mar 31, 2017 | 710,000.00 |
| Dec 31, 2016 | 658,000.00 |
| Sep 30, 2016 | 212,000.00 |
| Jun 30, 2016 | 5,000.00 |
| Mar 31, 2016 | 2,000.00 |
API Access
Neighborhood Intelligence Interest Expenses 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-expenses&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();