Gsi Technology (GSIT) Price to Earnings (2011 - 2019)
Gsi Technology's Price to Earnings came in at 756.33 for fiscal Q2 2020 (quarter ended Sep 30, 2019), up 549.0% from the prior quarter.
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Analysis
Gsi Technology (GSIT) Price to Earnings (2011 - 2019) Analysis & Trends
For FY2019 (ended Mar 31, 2019), Gsi Technology's Price to Earnings was 1063.97.
- The five-year range for quarterly Price to Earnings is 110.06 (fiscal Q3 2017) to 1063.97 (fiscal Q4 2019).
- Business Quant data shows GSIT's Price to Earnings at 116.53 (Q1 2020), 1063.97 (Q4 2019) and 213.28 (Q3 2019) in the three fiscal quarters before Q2 2020.
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 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 756.33 |
| Jun 30, 2019 | 116.53 |
| Mar 31, 2019 | 1,063.97 |
| Dec 31, 2018 | 213.28 |
| Dec 31, 2016 | 110.06 |
| Dec 31, 2013 | 1,135.04 |
| Sep 30, 2013 | 112.15 |
| Jun 30, 2013 | 69.58 |
| Mar 31, 2013 | 46.38 |
| Dec 31, 2012 | 45.43 |
| Sep 30, 2012 | 34.52 |
| Jun 30, 2012 | 29.33 |
| Mar 31, 2012 | 17.33 |
| Dec 31, 2011 | 14.04 |
| Sep 30, 2011 | 10.01 |
| Jun 30, 2011 | 11.70 |
| Mar 31, 2011 | 13.80 |
API Access
Gsi Technology Price to Earnings 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=price-to-earnings&ticker=GSIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GSIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();