SuperCom (SPCB) Non Operating Interest Expenses (2011 - 2019)
SuperCom (SPCB) recorded Non Operating Interest Expenses of $507,000 in Q2 2019, compared with -$226,000 a year earlier and up 25.8% from the prior quarter.
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Analysis
SuperCom (SPCB) Non Operating Interest Expenses (2011 - 2019) Analysis & Trends
On a TTM basis, SuperCom's Non Operating Interest Expenses came in at $632,000 as of Jun 30, 2019; for FY2018, it was $538,000.
- Across earlier years, Non Operating Interest Expenses came in at $303,000 in FY2016 (+9.4%), $277,000 in FY2015 and -$18,000 in FY2014.
- The Q2 2019 figure is the highest quarterly Non Operating Interest Expenses since Q2 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 2.08 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 3.00 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 3.24 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 2.75 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 924,000.00 |
| 10 | SuperCom | 38.08 Mn | -13.71 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 507,000.00 |
| Mar 31, 2019 | 403,000.00 |
| Jun 30, 2018 | -226,000.00 |
| Mar 31, 2018 | -52,000.00 |
| Sep 30, 2017 | 31,000.00 |
| Jun 30, 2017 | 578,000.00 |
| Mar 31, 2017 | -176,000.00 |
| Mar 31, 2016 | -56,000.00 |
| Dec 31, 2015 | 160,000.00 |
| Mar 31, 2015 | -6,000.00 |
| Dec 31, 2014 | -18,000.00 |
| Mar 31, 2014 | 25,000.00 |
| Sep 30, 2013 | 45,000.00 |
| Sep 30, 2012 | 13,000.00 |
| Jun 30, 2012 | 2.05 Mn |
| Jun 30, 2011 | 482,000.00 |
API Access
SuperCom 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=SPCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SPCB", "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=SPCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();