Silicon Laboratories (SLAB) Accumulated Expenses (2010 - 2017)
Silicon Laboratories (SLAB) recorded Accumulated Expenses of $60.38 million in Q3 2017, up 17.1% from $51.56 million a year earlier and up 18.9% from the prior quarter.
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Analysis
Silicon Laboratories (SLAB) Accumulated Expenses (2010 - 2017) Analysis & Trends
At the end of FY2016, Silicon Laboratories reported Accumulated Expenses of $50.1 million, down 3.9% from FY2015.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 10.2% (FY2011 to FY2016).
- Across earlier years, Accumulated Expenses came in at $52.13 million in FY2015, $45.98 million in FY2013 (+13.8%) and $40.41 million in FY2012 (+31.0%).
- The Q3 2017 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses rose in two of the last four quarters, with growth averaging 0.6%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 31.0% in Q4 2012, against a decline of 18.8% in Q1 2017 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.8 million (Q2 2017), $47.42 million (Q1 2017) and $50.1 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Silicon Laboratories | 7.43 Bn | 5.71 Bn | 140.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 60.38 Mn |
| Jul 1, 2017 | 50.80 Mn |
| Apr 1, 2017 | 47.42 Mn |
| Dec 31, 2016 | 50.10 Mn |
| Oct 1, 2016 | 51.56 Mn |
| Jul 2, 2016 | 47.00 Mn |
| Apr 2, 2016 | 58.39 Mn |
| Jan 2, 2016 | 52.13 Mn |
| Oct 3, 2015 | 50.08 Mn |
| Jul 4, 2015 | 49.33 Mn |
| Apr 4, 2015 | 45.39 Mn |
| Jan 3, 2015 | 73.65 Mn |
| Sep 27, 2014 | 74.73 Mn |
| Jun 28, 2014 | 65.67 Mn |
| Mar 29, 2014 | 67.75 Mn |
| Dec 28, 2013 | 45.98 Mn |
| Sep 28, 2013 | 42.64 Mn |
| Jun 29, 2013 | 36.01 Mn |
| Mar 30, 2013 | 36.89 Mn |
| Dec 29, 2012 | 40.41 Mn |
API Access
Silicon Laboratories 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=SLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SLAB", "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=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();