Gsi Technology (GSIT) Total Liabilities (2011 - 2026)
Gsi Technology's Total Liabilities came in at $16.63 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 26.6% from $13.13 million a year earlier and up 2.7% from the prior quarter.
Gsi Technology (GSIT) Total Liabilities (2011 - 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 fiscal Q1 2027 figure represents the highest quarterly Total Liabilities since fiscal Q2 2017.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 36.3% 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 $16.19 million (Q4 2026), $14.84 million (Q3 2026) and $13.44 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn | 16.63 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 11.64 Mn |
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_KEY
import 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();