Gsi Technology (GSIT) Inventory (2009 - 2026)
Gsi Technology's Inventory came in at $4.64 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 27.7% from $3.63 million a year earlier and up 2.2% from the prior quarter.
Gsi Technology (GSIT) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Gsi Technology's Inventory was $4.08 million, up 4.8% from FY2025.
- Inventory carries a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $3.89 million in FY2025 (-21.8%), $4.98 million in FY2024 (-22.4%), $6.42 million in FY2023 (+37.8%) and $4.66 million in FY2022 (+7.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Inventory since fiscal Q4 2024.
- Year-over-year, Inventory has increased for three consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q4 2023 (growth of 37.8%), and the weakest in fiscal Q3 2025 (a decline of 29.4%).
- Business Quant data shows GSIT's Inventory at $4.54 million (Q1 2027), $4.08 million (Q4 2026) and $3.88 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 11.67 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 13.43 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 31.58 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.52 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 10.37 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 11.46 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 13.43 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 13.07 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.89 Bn |
| 10 | Gsi Technology | 118.96 Mn | -165.16 Mn | 2.92 Mn | 4.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.64 Mn |
| Jun 30, 2026 | 4.54 Mn |
| Mar 31, 2026 | 4.08 Mn |
| Dec 31, 2025 | 3.88 Mn |
| Sep 30, 2025 | 3.63 Mn |
| Jun 30, 2025 | 3.76 Mn |
| Mar 31, 2025 | 3.89 Mn |
| Dec 31, 2024 | 3.89 Mn |
| Sep 30, 2024 | 4.13 Mn |
| Jun 30, 2024 | 4.47 Mn |
| Mar 31, 2024 | 4.98 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 5.58 Mn |
| Jun 30, 2023 | 5.93 Mn |
| Mar 31, 2023 | 6.42 Mn |
| Dec 31, 2022 | 6.20 Mn |
| Sep 30, 2022 | 5.53 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 4.66 Mn |
| Dec 31, 2021 | 4.74 Mn |
Gsi Technology Inventory 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=inventory&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();