Gsi Technology (GSIT) Other Operating Expenses (2010 - 2024)
Gsi Technology (GSIT) reported Other Operating Expenses of $2.95 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 243.9% from $857,000 a year earlier but down 0.3% from the prior quarter.
Gsi Technology (GSIT) Other Operating Expenses (2010 - 2024) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Gsi Technology's Other Operating Expenses came in at $13.1 million, up 310.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $8.52 million.
- Other Operating Expenses has a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at -$166,000 in FY2025, $11.75 million in FY2024 (+1.8%), $11.54 million in FY2023 (+17.5%) and $9.83 million in FY2022 (+11.2%).
- Five-year quarterly Other Operating Expenses spans a low of -$4.03 million in fiscal Q1 2025 and a high of $4.63 million in fiscal Q3 2024.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 194.8% over the last seven quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q4 2026 (growth of 585.1%); the low point was fiscal Q4 2025 (a decline of 83.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.96 million (Q1 2027), $2.62 million (Q4 2026) and $4.58 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Gsi Technology | 118.96 Mn | -165.16 Mn | 2.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -56,000.00 |
| Jun 30, 2024 | -5.74 Mn |
| Jun 30, 2023 | -143,000.00 |
| Jun 30, 2022 | -151,000.00 |
| Dec 31, 2021 | -98,000.00 |
| Dec 31, 2020 | -172,000.00 |
| Sep 30, 2020 | -167,000.00 |
| Jun 30, 2020 | -165,000.00 |
| Sep 30, 2019 | -158,000.00 |
| Jun 30, 2019 | -161,000.00 |
| Dec 31, 2012 | -8,000.00 |
| Sep 30, 2012 | 24,000.00 |
| Jun 30, 2012 | 12,000.00 |
| Mar 31, 2012 | -9,000.00 |
| Dec 31, 2011 | 18,000.00 |
| Sep 30, 2011 | -32,000.00 |
| Jun 30, 2011 | 7,000.00 |
| Mar 31, 2011 | 96,000.00 |
| Dec 31, 2010 | -218,000.00 |
| Sep 30, 2010 | -145,000.00 |
Gsi Technology Other 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=other-operating-expenses&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();