Gsi Technology (GSIT) Total Liabilities (2009 - 2026)
Gsi Technology's Total Liabilities came in at $15.25 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 13.5% from $13.44 million a year earlier but down 8.3% from the prior quarter.
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Analysis
Gsi Technology (GSIT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Gsi Technology's Total Liabilities was $16.19 million, up 7.3% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $15.09 million in FY2025 (+132.4%), $6.49 million in FY2024 (-23.6%), $8.5 million in FY2023 (-29.0%) and $11.97 million in FY2022 (-0.4%).
- The five-year range for quarterly Total Liabilities is $6.49 million (fiscal Q4 2024) to $16.63 million (fiscal Q1 2027).
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 27.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2025 (growth of 132.4%), and the weakest in fiscal Q4 2023 (a decline of 29.0%).
- Business Quant data shows GSIT's Total Liabilities at $16.63 million (Q1 2027), $16.19 million (Q4 2026) and $14.84 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Gsi Technology | 118.96 Mn | -165.16 Mn | 2.92 Mn | 15.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.25 Mn |
| Jun 30, 2026 | 16.63 Mn |
| Mar 31, 2026 | 16.19 Mn |
| Dec 31, 2025 | 14.84 Mn |
| Sep 30, 2025 | 13.44 Mn |
| Jun 30, 2025 | 13.13 Mn |
| Mar 31, 2025 | 15.09 Mn |
| Dec 31, 2024 | 14.20 Mn |
| Sep 30, 2024 | 14.11 Mn |
| Jun 30, 2024 | 14.33 Mn |
| Mar 31, 2024 | 6.49 Mn |
| Dec 31, 2023 | 9.47 Mn |
| Sep 30, 2023 | 7.74 Mn |
| Jun 30, 2023 | 7.94 Mn |
| Mar 31, 2023 | 8.50 Mn |
| Dec 31, 2022 | 9.35 Mn |
| Sep 30, 2022 | 10.30 Mn |
| Jun 30, 2022 | 10.40 Mn |
| Mar 31, 2022 | 11.97 Mn |
| Dec 31, 2021 | 12.89 Mn |
API Access
Gsi Technology Total Liabilities 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=total-liabilities&ticker=GSIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();