Apple (AAPL) Accumulated Expenses (2009 - 2018)
Apple (AAPL) posted Accumulated Expenses of $25.18 billion for fiscal Q3 2018 (quarter ended Jun 30, 2018), up 8.1% from $23.3 billion a year earlier but down 5.9% from the prior quarter.
Apple (AAPL) Accumulated Expenses (2009 - 2018) Analysis & Trends
At the end of FY2017 (ended Sep 30, 2017), Apple's Accumulated Expenses came in at $25.74 billion, up 16.9% from FY2016.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 17.7% (FY2012 to FY2017).
- In prior fiscal years, Apple's Accumulated Expenses was $22.03 billion in FY2016 (-12.5%), $25.18 billion in FY2015 (+36.5%), $18.45 billion in FY2014 (+33.2%) and $13.86 billion in FY2013 (+21.4%).
- Quarterly Accumulated Expenses has run from a low of $13.86 billion in fiscal Q4 2013 to a high of $26.76 billion in fiscal Q2 2018 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 6.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2015, with growth of 48.9%; the weakest was fiscal Q4 2016, with a decline of 12.5%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $26.76 billion (Q2 2018), $26.28 billion (Q1 2018) and $25.74 billion (Q4 2017).
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
| Date | Value |
|---|---|
| Jun 30, 2018 | 25.18 Bn |
| Mar 31, 2018 | 26.76 Bn |
| Dec 30, 2017 | 26.28 Bn |
| Sep 30, 2017 | 25.74 Bn |
| Jul 1, 2017 | 23.30 Bn |
| Apr 1, 2017 | 23.10 Bn |
| Dec 31, 2016 | 23.74 Bn |
| Sep 24, 2016 | 22.03 Bn |
| Jun 25, 2016 | 20.82 Bn |
| Mar 26, 2016 | 23.21 Bn |
| Dec 26, 2015 | 24.03 Bn |
| Sep 26, 2015 | 25.18 Bn |
| Jun 27, 2015 | 22.72 Bn |
| Mar 28, 2015 | 22.83 Bn |
| Dec 27, 2014 | 22.72 Bn |
| Sep 27, 2014 | 18.45 Bn |
| Jun 28, 2014 | 15.26 Bn |
| Mar 29, 2014 | 15.98 Bn |
| Dec 28, 2013 | 15.82 Bn |
| Sep 28, 2013 | 13.86 Bn |
Apple Accumulated 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=accumulated-expenses&ticker=AAPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AAPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();