Gsi Technology (GSIT) EV to FCF (2009 - 2019)
Gsi Technology's (GSIT) EV to FCF was 164.43 for fiscal Q3 2020 (quarter ended Dec 31, 2019), up 142.2% from the prior quarter.
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Analysis
Gsi Technology (GSIT) EV to FCF (2009 - 2019) Analysis & Trends
Over the twelve months ended Dec 31, 2019, Gsi Technology's EV to FCF came in at -169.99; for FY2019 (ended Mar 31, 2019), it was 121.82.
- By fiscal year, EV to FCF came in at 70.55 in FY2017 and 121.06 in FY2015 (+749.6%).
- The fiscal Q3 2020 figure ranks as the highest quarterly EV to FCF since fiscal Q1 2016.
- Per Business Quant data, the three fiscal quarters before Q3 2020 came in at 67.88 (Q2 2020), 45.26 (Q1 2020) and 121.82 (Q4 2019).
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 |
|---|---|
| Dec 31, 2019 | 164.43 |
| Sep 30, 2019 | 67.88 |
| Jun 30, 2019 | 45.26 |
| Mar 31, 2019 | 121.82 |
| Sep 30, 2017 | 106.77 |
| Jun 30, 2017 | 31.82 |
| Mar 31, 2017 | 70.55 |
| Dec 31, 2016 | 16.89 |
| Sep 30, 2015 | 13.57 |
| Jun 30, 2015 | 600.36 |
| Mar 31, 2015 | 121.06 |
| Dec 31, 2014 | 19.43 |
| Sep 30, 2014 | 69.43 |
| Jun 30, 2014 | 20.62 |
| Mar 31, 2014 | 14.25 |
| Dec 31, 2013 | 9.06 |
| Sep 30, 2013 | 9.83 |
| Jun 30, 2013 | 6.49 |
| Mar 31, 2013 | 7.76 |
| Dec 31, 2012 | 7.58 |
API Access
Gsi Technology EV to FCF 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-fcf&ticker=GSIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();