Semtech (SMTC) Restructuring Costs (2014 - 2017)
Semtech's Restructuring Costs was $429,000 in fiscal Q1 2018 (quarter ended Apr 30, 2017), down 81.2% from the prior quarter.
Analysis
Semtech (SMTC) Restructuring Costs (2014 - 2017) Analysis & Trends
For FY2017 (ended Jan 29, 2017), Restructuring Costs at Semtech came in at $2.28 million, down 49.6% from FY2016.
- Restructuring Costs shows a three-year compound annual growth rate of -9.6% (FY2014 to FY2017).
- In earlier fiscal years, Restructuring Costs was $4.53 million in FY2016 (+252.2%), $1.29 million in FY2015 (-58.4%) and $3.09 million in FY2014.
- The fiscal Q1 2018 figure marks the lowest quarterly Restructuring Costs since fiscal Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn |
| 10 | Semtech | 11.82 Bn | 11.09 Bn | 183.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2017 | 429,000.00 |
| Jan 29, 2017 | 2.28 Mn |
| Oct 25, 2015 | 962,000.00 |
| Jul 26, 2015 | 3.56 Mn |
| Jan 25, 2015 | 284,000.00 |
| Apr 27, 2014 | 1.00 Mn |
| Jan 26, 2014 | 3.09 Mn |
API Access
Semtech Restructuring Costs 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=restructuring-costs&ticker=SMTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "SMTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=SMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();