Himax Technologies (HIMX) Accumulated Expenses (2009 - 2018)
Himax Technologies (HIMX) recorded Accumulated Expenses of $41.78 million in Q4 2018, up 1.2% from $41.27 million a year earlier.
Analysis
Himax Technologies (HIMX) Accumulated Expenses (2009 - 2018) Analysis & Trends
Starting with Q1 2009, Himax Technologies' Accumulated Expenses history includes 36 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 6.8% (FY2013 to FY2018).
- Across earlier years, Accumulated Expenses came in at $41.27 million in FY2017 (+38.9%), $29.72 million in FY2016 (-17.5%), $36.03 million in FY2015 (+33.5%) and $26.99 million in FY2014 (-10.4%).
- The Q4 2018 figure is the highest quarterly Accumulated Expenses since Q2 2017.
- On a year-over-year basis, Accumulated Expenses rose in four of the last five quarters, with growth averaging 13.1%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 38.9% in Q4 2017, against a decline of 30.8% in Q2 2016 at the low end.
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 | Himax Technologies | 5.32 Bn | 4.02 Bn | -152.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 41.78 Mn |
| Dec 31, 2017 | 41.27 Mn |
| Sep 30, 2017 | 37.68 Mn |
| Jun 30, 2017 | 71.06 Mn |
| Mar 31, 2017 | 28.52 Mn |
| Dec 31, 2016 | 29.72 Mn |
| Sep 30, 2016 | 34.55 Mn |
| Jun 30, 2016 | 54.73 Mn |
| Mar 31, 2016 | 32.94 Mn |
| Dec 31, 2015 | 36.03 Mn |
| Sep 30, 2015 | -1.67 Mn |
| Jun 30, 2015 | 79.12 Mn |
| Mar 31, 2015 | 27.64 Mn |
| Dec 31, 2014 | 26.99 Mn |
| Sep 30, 2014 | 26.52 Mn |
| Jun 30, 2014 | 72.45 Mn |
| Mar 31, 2014 | 25.40 Mn |
| Dec 31, 2013 | 30.11 Mn |
| Sep 30, 2013 | 25.31 Mn |
| Jun 30, 2013 | 2.61 Mn |
API Access
Himax Technologies 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=HIMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HIMX", "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=HIMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();