Gsi Technology (GSIT) Operating Expenses (2010 - 2026)
Gsi Technology (GSIT) posted Operating Expenses of $8.75 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 50.2% from $5.83 million a year earlier and up 2.8% from the prior quarter.
Gsi Technology (GSIT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Gsi Technology was $34.1 million, up 32.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $31.17 million, up 48.6% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -2.0% (FY2021 to FY2026).
- In prior fiscal years, Gsi Technology's Operating Expenses was $20.98 million in FY2025 (-35.0%), $32.25 million in FY2024 (-3.7%), $33.49 million in FY2023 (-4.0%) and $34.89 million in FY2022 (+1.2%).
- Quarterly Operating Expenses has run from a low of $1.08 million in fiscal Q1 2025 to a high of $10.11 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 66.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2026, with growth of 439.0%; the weakest was fiscal Q1 2025, with a decline of 86.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $8.52 million (Q4 2026), $10.11 million (Q3 2026) and $6.72 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn | 8.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.75 Mn |
| Mar 31, 2026 | 8.52 Mn |
| Dec 31, 2025 | 10.11 Mn |
| Sep 30, 2025 | 6.72 Mn |
| Jun 30, 2025 | 5.83 Mn |
| Mar 31, 2025 | 5.58 Mn |
| Dec 31, 2024 | 6.98 Mn |
| Sep 30, 2024 | 7.34 Mn |
| Jun 30, 2024 | 1.08 Mn |
| Mar 31, 2024 | 7.17 Mn |
| Dec 31, 2023 | 9.66 Mn |
| Sep 30, 2023 | 7.21 Mn |
| Jun 30, 2023 | 8.21 Mn |
| Mar 31, 2023 | 6.88 Mn |
| Dec 31, 2022 | 8.50 Mn |
| Sep 30, 2022 | 8.81 Mn |
| Jun 30, 2022 | 9.31 Mn |
| Mar 31, 2022 | 8.06 Mn |
| Dec 31, 2021 | 8.99 Mn |
| Sep 30, 2021 | 8.69 Mn |
Gsi Technology Operating Expenses 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=operating-expenses&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();