Apple (AAPL) Other Operating Expenses (2013 - 2016)
Apple's Other Operating Expenses was -$1.06 billion in fiscal Q2 2016 (quarter ended Mar 26, 2016), compared with -$1.12 billion a year earlier.
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Analysis
Apple (AAPL) Other Operating Expenses (2013 - 2016) Analysis & Trends
For FY2015 (ended Sep 26, 2015), Other Operating Expenses at Apple came in at -$4.55 billion.
- In earlier fiscal years, Other Operating Expenses was -$3.67 billion in FY2014, -$3.05 billion in FY2013 and -$3.16 billion in FY2012.
- The fiscal Q2 2016 figure marks the highest quarterly Other Operating Expenses since fiscal Q4 2014.
- Per Business Quant data, AAPL's Other Operating Expenses in the three fiscal quarters before Q2 2016 was -$1.07 billion (Q1 2016), -$1.21 billion (Q4 2015) and -$1.08 billion (Q3 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,863.18 Bn | 4,610.67 Bn | 54.77 Bn |
| 2 | Cisco Systems | 445.19 Bn | 381.12 Bn | 11.06 Bn |
| 3 | Dell Technologies | 353.32 Bn | 309.07 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.04 Bn | 214.50 Bn | 1.91 Bn |
| 5 | Sandisk | 248.81 Bn | 237.33 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 201.18 Bn | 196.18 Bn | 1.90 Bn |
| 7 | Western Digital | 159.43 Bn | 147.56 Bn | 2.03 Bn |
| 8 | Sony | 144.77 Bn | 95.16 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.72 Bn | 88.53 Bn | 477.30 Mn |
| 10 | Hewlett Packard Enterprise | 90.82 Bn | 68.69 Bn | 4.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 26, 2016 | -1.06 Bn |
| Dec 26, 2015 | -1.07 Bn |
| Sep 26, 2015 | -1.21 Bn |
| Jun 27, 2015 | -1.08 Bn |
| Mar 28, 2015 | -1.12 Bn |
| Dec 27, 2014 | -1.15 Bn |
| Sep 27, 2014 | -1.02 Bn |
| Jun 28, 2014 | -903.00 Mn |
| Mar 29, 2014 | -896.00 Mn |
| Dec 28, 2013 | -844.00 Mn |
API Access
Apple 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=AAPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "AAPL", "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=AAPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();