Gsi Technology (GSIT) EV to EBITDA (2011 - 2019)
Gsi Technology's EV to EBITDA came in at 111.37 for fiscal Q2 2020 (quarter ended Sep 30, 2019), up 131.8% from the prior quarter.
Gsi Technology (GSIT) EV to EBITDA (2011 - 2019) Analysis & Trends
Over the trailing twelve months to Sep 30, 2019, Gsi Technology reported EV to EBITDA of -41.41; for FY2019 (ended Mar 31, 2019), it was 87.73.
- Going back by fiscal year, EV to EBITDA was 128.75 in FY2017.
- The fiscal Q2 2020 figure represents the highest quarterly EV to EBITDA since fiscal Q4 2017.
- Business Quant data shows GSIT's EV to EBITDA at 48.04 (Q1 2020), 87.73 (Q4 2019) and 38.54 (Q3 2019) in the three fiscal quarters before Q2 2020.
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
| Date | Value |
|---|---|
| Sep 30, 2019 | 111.37 |
| Jun 30, 2019 | 48.04 |
| Mar 31, 2019 | 87.73 |
| Dec 31, 2018 | 38.54 |
| Mar 31, 2017 | 128.75 |
| Dec 31, 2016 | 32.23 |
| Sep 30, 2016 | 70.83 |
| Dec 31, 2013 | 429.97 |
| Sep 30, 2013 | 51.55 |
| Jun 30, 2013 | 25.78 |
| Mar 31, 2013 | 19.17 |
| Dec 31, 2012 | 19.36 |
| Sep 30, 2012 | 12.21 |
| Jun 30, 2012 | 11.84 |
| Mar 31, 2012 | 6.30 |
| Dec 31, 2011 | 5.64 |
| Sep 30, 2011 | 4.23 |
| Jun 30, 2011 | 5.95 |
| Mar 31, 2011 | 7.96 |
Gsi Technology EV to EBITDA 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=ev-to-ebitda&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();