Neighborhood Intelligence (NXH) Non Operating Interest Expenses (2010 - 2020)
Neighborhood Intelligence (NXH) reported Non Operating Interest Expenses of $604,000 for Q4 2020, compared with $53,000 a year earlier and up 4.3% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Non Operating Interest Expenses (2010 - 2020) Analysis & Trends
For FY2020, Neighborhood Intelligence posted Non Operating Interest Expenses of $1.97 million, up 476.3% from FY2019.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 69.7% (FY2015 to FY2020).
- By year, Non Operating Interest Expenses came in at $342,000 in FY2019 (-76.7%), $1.47 million in FY2018 (-50.0%), $2.94 million in FY2017 (+234.9%) and $877,000 in FY2016 (+526.4%).
- The Q4 2020 figure ranks as the highest quarterly Non Operating Interest Expenses since Q4 2017.
- Year over year, Non Operating Interest Expenses gained in three of the last four quarters, with growth averaging 346.8%.
- Per Business Quant data, the three quarters before Q4 2020 came in at $579,000 (Q3 2020), $588,000 (Q2 2020) and $200,000 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 101.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 69.87 Mn |
| 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
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 Non Operating 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=non-operating-interest-expenses&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();