Tower Semiconductor (TSEM) Accumulated Expenses (2014 - 2020)
Tower Semiconductor (TSEM) recorded Accumulated Expenses of $868,000 in Q4 2020, down 17.9% from $1.06 million a year earlier.
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Analysis
Tower Semiconductor (TSEM) Accumulated Expenses (2014 - 2020) Analysis & Trends
Starting with Q4 2014, Tower Semiconductor's Accumulated Expenses history includes 7 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -34.5% (FY2015 to FY2020).
- Across earlier years, Accumulated Expenses came in at $1.06 million in FY2019 (+7.2%), $986,000 in FY2018 (-68.8%), $3.16 million in FY2017 (-51.2%) and $6.48 million in FY2016 (-9.8%).
- The Q4 2020 figure is the lowest quarterly Accumulated Expenses since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn |
| 10 | Tower Semiconductor | 15.37 Bn | 9.77 Bn | 178.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 868,000.00 |
| Dec 31, 2019 | 1.06 Mn |
| Dec 31, 2018 | 986,000.00 |
| Dec 31, 2017 | 3.16 Mn |
| Dec 31, 2016 | 6.48 Mn |
| Dec 31, 2015 | 7.18 Mn |
| Dec 31, 2014 | 409,000.00 |
API Access
Tower Semiconductor 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=TSEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TSEM", "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=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();