Gsi Technology (GSIT) Capital Expenditures (2010 - 2026)
Gsi Technology (GSIT) recorded Capital Expenditures of $358,000 in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $21,000 a year earlier and up 138.7% from the prior quarter.
Gsi Technology (GSIT) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Gsi Technology's Capital Expenditures came in at $823,000 as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at $486,000, up 980.0% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 19.1% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $45,000 in FY2025 (-93.0%), $645,000 in FY2024 (+104.1%), $316,000 in FY2023 (-59.2%) and $774,000 in FY2022 (+281.3%).
- The fiscal Q1 2027 figure is the highest quarterly Capital Expenditures since fiscal Q1 2024.
- On a year-over-year basis, Capital Expenditures rose in 1 of the last five quarters, with an average decline of 3.2%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 500.0% in fiscal Q2 2022, against a decline of 94.7% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $150,000 (Q4 2026), $296,000 (Q3 2026) and $19,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.68 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 | 532.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn | 358,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358,000.00 |
| Mar 31, 2026 | 150,000.00 |
| Dec 31, 2025 | 296,000.00 |
| Sep 30, 2025 | 19,000.00 |
| Jun 30, 2025 | 21,000.00 |
| Mar 31, 2025 | 4,000.00 |
| Dec 31, 2024 | 3,000.00 |
| Sep 30, 2024 | 6,000.00 |
| Jun 30, 2024 | 32,000.00 |
| Mar 31, 2024 | 11,000.00 |
| Dec 31, 2023 | 10,000.00 |
| Sep 30, 2023 | 17,000.00 |
| Jun 30, 2023 | 607,000.00 |
| Mar 31, 2023 | 58,000.00 |
| Dec 31, 2022 | 34,000.00 |
| Sep 30, 2022 | 118,000.00 |
| Jun 30, 2022 | 106,000.00 |
| Mar 31, 2022 | 233,000.00 |
| Dec 31, 2021 | 148,000.00 |
| Sep 30, 2021 | 354,000.00 |
Gsi Technology Capital Expenditures 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=capital-expenditures&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();