Bel Fuse (BELFA) Other Operating Expenses (2010 - 2018)
Bel Fuse's Other Operating Expenses was $238,000 in Q1 2018, up 14.4% from $208,000 a year earlier.
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Analysis
Bel Fuse (BELFA) Other Operating Expenses (2010 - 2018) Analysis & Trends
For FY2013, Other Operating Expenses at Bel Fuse came in at -$41,000.
- In earlier years, Other Operating Expenses was -$26,000 in FY2012, -$3.47 million in FY2011 and -$8.1 million in FY2010.
- The Q1 2018 figure marks the highest quarterly Other Operating Expenses since Q3 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn |
| 10 | Bel Fuse | 2.41 Bn | 1.93 Bn | 83.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 238,000.00 |
| Mar 31, 2017 | 208,000.00 |
| Sep 30, 2014 | 128.25 Mn |
| Jun 30, 2014 | 81.49 Mn |
| Mar 31, 2014 | 68.58 Mn |
| Dec 31, 2013 | 73.17 Mn |
| Sep 30, 2013 | 81.13 Mn |
| Jun 30, 2013 | 78.72 Mn |
| Mar 31, 2013 | 53.93 Mn |
| Dec 31, 2012 | -52,000.00 |
| Jun 30, 2012 | 26,000.00 |
| Mar 31, 2012 | 55.13 Mn |
| Dec 31, 2011 | -6.94 Mn |
| Sep 30, 2011 | 247,000.00 |
| Jun 30, 2011 | 3.22 Mn |
| Mar 31, 2011 | 57.13 Mn |
| Jun 30, 2010 | 61.57 Mn |
API Access
Bel Fuse Other Operating 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=other-operating-expenses&ticker=BELFA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "BELFA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BELFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();