Gsi Technology (GSIT) EV to EBITDA (2009 - 2019)
Gsi Technology's EV to EBITDA came in at 113.73 for fiscal Q2 2020 (quarter ended Sep 30, 2019), up 135.1% from the prior quarter.
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Analysis
Gsi Technology (GSIT) EV to EBITDA (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Sep 30, 2019, Gsi Technology reported EV to EBITDA of -42.29; for FY2019 (ended Mar 31, 2019), it was 90.28.
- Going back by fiscal year, EV to EBITDA was 119.92 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 48.37 (Q1 2020), 88.49 (Q4 2019) and 38.43 (Q3 2019) in the three fiscal quarters before Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Gsi Technology | 118.96 Mn | -165.16 Mn | 2.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 113.73 |
| Jun 30, 2019 | 48.37 |
| Mar 31, 2019 | 88.49 |
| Dec 31, 2018 | 38.43 |
| 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 |
| Dec 31, 2010 | 6.83 |
API Access
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_KEYimport 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();