Gsi Technology (GSIT) Enterprise Value (2010 - 2026)
Gsi Technology (GSIT) recorded Enterprise Value of $219.57 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 192.7% from $75.02 million a year earlier and up 81.6% from the prior quarter.
Gsi Technology (GSIT) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Gsi Technology's Enterprise Value came in at $56.36 million as of Jun 30, 2026, up 100.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $120.92 million, up 213.7% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $38.55 million in FY2025 (-46.2%), $71.59 million in FY2024 (+502.5%), $11.88 million in FY2023 (-76.1%) and $49.82 million in FY2022 (-53.3%).
- The fiscal Q1 2027 figure is the highest quarterly Enterprise Value in data going back to fiscal Q1 2011.
- On a year-over-year basis, Enterprise Value has increased for five consecutive quarters, with growth averaging 86.5% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 502.5% in fiscal Q4 2024, against a decline of 88.5% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $120.92 million (Q4 2026), $154.04 million (Q3 2026) and $85.92 million (Q2 2026).
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 |
|---|---|
| Jun 30, 2026 | 219.57 Mn |
| Mar 31, 2026 | 120.92 Mn |
| Dec 31, 2025 | 154.04 Mn |
| Sep 30, 2025 | 85.92 Mn |
| Jun 30, 2025 | 75.02 Mn |
| Mar 31, 2025 | 38.55 Mn |
| Dec 31, 2024 | 62.48 Mn |
| Sep 30, 2024 | 59.37 Mn |
| Jun 30, 2024 | 45.67 Mn |
| Mar 31, 2024 | 71.59 Mn |
| Dec 31, 2023 | 45.20 Mn |
| Sep 30, 2023 | 43.02 Mn |
| Jun 30, 2023 | 110.97 Mn |
| Mar 31, 2023 | 11.88 Mn |
| Dec 31, 2022 | 7.50 Mn |
| Sep 30, 2022 | 31.75 Mn |
| Jun 30, 2022 | 43.25 Mn |
| Mar 31, 2022 | 49.82 Mn |
| Dec 31, 2021 | 65.26 Mn |
| Sep 30, 2021 | 77.72 Mn |
Gsi Technology Enterprise Value 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=enterprise-value&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();