Gsi Technology (GSIT) Cash & Equivalents (2010 - 2026)
Gsi Technology's Cash & Equivalents was $77.05 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 239.0% from $22.73 million a year earlier and up 14.6% from the prior quarter.
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Analysis
Gsi Technology (GSIT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Gsi Technology came in at $67.21 million, up 400.3% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $13.43 million in FY2025 (-6.9%), $14.43 million in FY2024 (-47.0%), $27.21 million in FY2023 (-26.4%) and $36.97 million in FY2022 (-16.4%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- Compared with a year earlier, Cash & Equivalents has increased for five straight quarters, with growth averaging 123.5% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2026 (growth of 400.3%); the worst was fiscal Q4 2024 (a decline of 47.0%).
- Per Business Quant data, GSIT's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $67.21 million (Q4 2026), $70.67 million (Q3 2026) and $25.33 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn | 77.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.05 Mn |
| Mar 31, 2026 | 67.21 Mn |
| Dec 31, 2025 | 70.67 Mn |
| Sep 30, 2025 | 25.33 Mn |
| Jun 30, 2025 | 22.73 Mn |
| Mar 31, 2025 | 13.43 Mn |
| Dec 31, 2024 | 15.09 Mn |
| Sep 30, 2024 | 18.36 Mn |
| Jun 30, 2024 | 21.77 Mn |
| Mar 31, 2024 | 14.43 Mn |
| Dec 31, 2023 | 21.58 Mn |
| Sep 30, 2023 | 24.67 Mn |
| Jun 30, 2023 | 26.85 Mn |
| Mar 31, 2023 | 27.21 Mn |
| Dec 31, 2022 | 31.87 Mn |
| Sep 30, 2022 | 32.80 Mn |
| Jun 30, 2022 | 33.53 Mn |
| Mar 31, 2022 | 36.97 Mn |
| Dec 31, 2021 | 36.33 Mn |
| Sep 30, 2021 | 40.94 Mn |
API Access
Gsi Technology Cash & Equivalents 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=cash-and-equivalents&ticker=GSIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();