Napco Security Technologies (NSSC) Non Operating Interest Expenses (2010 - 2019)
Napco Security Technologies' Non Operating Interest Expenses was $7,000 in fiscal Q1 2020 (quarter ended Sep 30, 2019), unchanged from $7,000 a year earlier and up 133.3% from the prior quarter.
Napco Security Technologies (NSSC) Non Operating Interest Expenses (2010 - 2019) Analysis & Trends
On a trailing twelve-month basis, Napco Security Technologies' Non Operating Interest Expenses was $21,000 through Sep 30, 2019, down 66.1% year-over-year; for FY2019 (ended Jun 30, 2019), it was $21,000, down 74.1% from FY2018.
- Non Operating Interest Expenses has now declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -41.1% (FY2014 to FY2019).
- In earlier fiscal years, Non Operating Interest Expenses was $81,000 in FY2018 (-2.4%), $83,000 in FY2017 (-53.6%), $179,000 in FY2016 (-16.7%) and $215,000 in FY2015 (-27.1%).
- Quarterly Non Operating Interest Expenses has moved between $3,000 (fiscal Q4 2019) and $54,000 (fiscal Q4 2015) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last eight quarters, with an average decline of 38.2%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q2 2018 (growth of 22.2%); the worst was fiscal Q4 2019 (a decline of 78.6%).
- Per Business Quant data, NSSC's Non Operating Interest Expenses in the three fiscal quarters before Q1 2020 was $3,000 (Q4 2019), $5,000 (Q3 2019) and $6,000 (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.60 Bn | 116.88 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 89.52 Bn | 88.60 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.94 Bn | 32.13 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.91 Bn | 16.45 Bn | 569.95 Mn | 9.39 Mn |
| 5 | APi | 16.76 Bn | 13.80 Bn | 703.00 Mn | 36.00 Mn |
| 6 | Gartner | 15.49 Bn | 9.18 Bn | 1.19 Bn | 22.27 Mn |
| 7 | UL Solutions | 14.82 Bn | 13.57 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Aramark | 13.80 Bn | 11.74 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | - |
| 10 | Napco Security Technologies | 1.38 Bn | 893.62 Mn | 34.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 7,000.00 |
| Jun 30, 2019 | 3,000.00 |
| Mar 31, 2019 | 5,000.00 |
| Dec 31, 2018 | 6,000.00 |
| Sep 30, 2018 | 7,000.00 |
| Jun 30, 2018 | 14,000.00 |
| Mar 31, 2018 | 19,000.00 |
| Dec 31, 2017 | 22,000.00 |
| Sep 30, 2017 | 26,000.00 |
| Jun 30, 2017 | 24,000.00 |
| Mar 31, 2017 | 17,000.00 |
| Dec 31, 2016 | 18,000.00 |
| Sep 30, 2016 | 24,000.00 |
| Jun 30, 2016 | 40,000.00 |
| Mar 31, 2016 | 45,000.00 |
| Dec 31, 2015 | 41,000.00 |
| Sep 30, 2015 | 53,000.00 |
| Jun 30, 2015 | 54,000.00 |
| Mar 31, 2015 | 52,000.00 |
| Dec 31, 2014 | 54,000.00 |
Napco Security Technologies 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=NSSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "NSSC", "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=NSSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();