Gsi Technology (GSIT) Accumulated Expenses (2011 - 2026)
Gsi Technology's Accumulated Expenses came in at $4.33 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 43.7% from $3.01 million a year earlier and up 5.8% from the prior quarter.
Gsi Technology (GSIT) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Gsi Technology's Accumulated Expenses was $4.09 million, down 7.8% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $4.44 million in FY2025 (+7.5%), $4.13 million in FY2024 (-20.1%), $5.17 million in FY2023 (-24.6%) and $6.85 million in FY2022 (+24.1%).
- The five-year range for quarterly Accumulated Expenses is $3.01 million (fiscal Q1 2026) to $6.85 million (fiscal Q4 2022).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 1.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2027 (growth of 43.7%), and the weakest in fiscal Q3 2025 (a decline of 46.2%).
- Business Quant data shows GSIT's Accumulated Expenses at $4.09 million (Q4 2026), $5.04 million (Q3 2026) and $3.17 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 | 4.33 Mn |
| Mar 31, 2026 | 4.09 Mn |
| Dec 31, 2025 | 5.04 Mn |
| Sep 30, 2025 | 3.17 Mn |
| Jun 30, 2025 | 3.01 Mn |
| Mar 31, 2025 | 4.44 Mn |
| Dec 31, 2024 | 3.66 Mn |
| Sep 30, 2024 | 3.08 Mn |
| Jun 30, 2024 | 3.24 Mn |
| Mar 31, 2024 | 4.13 Mn |
| Dec 31, 2023 | 6.80 Mn |
| Sep 30, 2023 | 5.14 Mn |
| Jun 30, 2023 | 5.03 Mn |
| Mar 31, 2023 | 5.17 Mn |
| Dec 31, 2022 | 5.09 Mn |
| Sep 30, 2022 | 5.81 Mn |
| Jun 30, 2022 | 5.59 Mn |
| Mar 31, 2022 | 6.85 Mn |
| Dec 31, 2021 | 5.63 Mn |
| Sep 30, 2021 | 5.13 Mn |
Gsi Technology Accumulated 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=accumulated-expenses&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();