SuperCom (SPCB) Interest Expenses (2009 - 2019)
SuperCom (SPCB) reported Interest Expenses of $507,000 for Q2 2019, compared with -$226,000 a year earlier and up 25.8% from the prior quarter.
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Analysis
SuperCom (SPCB) Interest Expenses (2009 - 2019) Analysis & Trends
Over the twelve months ended Jun 30, 2019, SuperCom's Interest Expenses came in at $632,000; for FY2018, it was $538,000.
- By year, Interest Expenses came in at $303,000 in FY2016 (+9.4%), $277,000 in FY2015 and -$18,000 in FY2014.
- The Q2 2019 figure ranks as the highest quarterly Interest Expenses since Q2 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -89.29 Mn |
| 10 | SuperCom | 3.10 Mn | -45.18 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 | 226,000.00 |
| Mar 31, 2017 | -176,000.00 |
| Dec 31, 2016 | 117,000.00 |
| Sep 30, 2016 | 76,000.00 |
| Jun 30, 2016 | 54,000.00 |
| Mar 31, 2016 | -56,000.00 |
| Dec 31, 2015 | 160,000.00 |
| Jun 30, 2015 | 117,000.00 |
| Mar 31, 2015 | -6,000.00 |
| Dec 31, 2014 | -18,000.00 |
| Mar 31, 2014 | 25,000.00 |
| Sep 30, 2013 | 45,000.00 |
| Dec 31, 2012 | -54,000.00 |
| Sep 30, 2012 | 13,000.00 |
| Jun 30, 2012 | 2.05 Mn |
API Access
SuperCom 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=SPCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=SPCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();