Gsi Technology (GSIT) EV to CFO (2011 - 2019)
Gsi Technology's (GSIT) EV to CFO stood at 96.76 in fiscal Q3 2020 (quarter ended Dec 31, 2019), up 326.6% from 22.68 a year earlier and up 80.7% from the prior quarter.
Gsi Technology (GSIT) EV to CFO (2011 - 2019) Analysis & Trends
On a TTM basis, Gsi Technology's EV to CFO came in at -100.04 as of Dec 31, 2019; for FY2019 (ended Mar 31, 2019), it was 37.12, down 60.6% from FY2018.
- Across earlier fiscal years, EV to CFO came in at 94.14 in FY2018 (+49.4%), 63.03 in FY2017 (-14.5%), 73.75 in FY2016 (+6.7%) and 69.12 in FY2015 (+433.1%).
- The fiscal Q3 2020 figure is the highest quarterly EV to CFO since fiscal Q2 2019.
- On a year-over-year basis, EV to CFO rose in four of the last eight quarters, with growth averaging 133.5%.
- Peak year-over-year performance for EV to CFO in the last five years was growth of 928.2% in fiscal Q1 2019, against a decline of 97.7% in fiscal Q3 2019 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 53.55 (Q2 2020), 34.70 (Q1 2020) and 37.12 (Q4 2019).
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 |
|---|---|
| Dec 31, 2019 | 96.76 |
| Sep 30, 2019 | 53.55 |
| Jun 30, 2019 | 34.70 |
| Mar 31, 2019 | 37.12 |
| Dec 31, 2018 | 22.68 |
| Sep 30, 2018 | 129.98 |
| Jun 30, 2018 | 311.05 |
| Mar 31, 2018 | 94.14 |
| Dec 31, 2017 | 968.94 |
| Sep 30, 2017 | 76.77 |
| Jun 30, 2017 | 30.25 |
| Mar 31, 2017 | 63.03 |
| Dec 31, 2016 | 16.03 |
| Sep 30, 2016 | 47.64 |
| Mar 31, 2016 | 73.75 |
| Sep 30, 2015 | 11.79 |
| Jun 30, 2015 | 106.64 |
| Mar 31, 2015 | 69.12 |
| Dec 31, 2014 | 14.31 |
| Sep 30, 2014 | 37.99 |
Gsi Technology EV to CFO 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-cfo&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();