Gsi Technology (GSIT) Return on Assets [ROA] (2009 - 2026)
Gsi Technology's Return on Assets [ROA] came in at -18.73% for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 4.07 percentage points from -22.80% a year earlier but down 3.40 percentage points from the prior quarter.
Gsi Technology (GSIT) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Gsi Technology's Return on Assets [ROA] was -18.75%, up 6.05 percentage points from FY2025.
- Return on Assets [ROA] carries a five-year change of +3.86 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -24.81% in FY2025 (+14.45 pp), -39.26% in FY2024 (-15.81 pp), -23.44% in FY2023 (-3.49 pp) and -19.96% in FY2022 (+2.66 pp).
- The five-year range for quarterly Return on Assets [ROA] is -43.99% (fiscal Q4 2024) to -13.50% (fiscal Q4 2026).
- Year-over-year, Return on Assets [ROA] has increased for five consecutive quarters, with an average year-over-year change of +10.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q4 2025 (a gain of 19.69 percentage points), and the weakest in fiscal Q4 2024 (a drop of 18.22 percentage points).
- Business Quant data shows GSIT's Return on Assets [ROA] at -15.33% (Q1 2027), -13.50% (Q4 2026) and -14.19% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -466,841,983.85% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 7.44% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 66.53% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 51.50% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 8.50% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | -5.54% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 22.69% |
| 10 | Gsi Technology | 118.96 Mn | -165.16 Mn | 2.92 Mn | -18.73% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -18.73% |
| Jun 30, 2026 | -15.33% |
| Mar 31, 2026 | -13.50% |
| Dec 31, 2025 | -14.19% |
| Sep 30, 2025 | -22.80% |
| Jun 30, 2025 | -29.75% |
| Mar 31, 2025 | -24.30% |
| Dec 31, 2024 | -27.82% |
| Sep 30, 2024 | -30.69% |
| Jun 30, 2024 | -29.33% |
| Mar 31, 2024 | -43.99% |
| Dec 31, 2023 | -38.70% |
| Sep 30, 2023 | -32.80% |
| Jun 30, 2023 | -29.47% |
| Mar 31, 2023 | -25.76% |
| Dec 31, 2022 | -22.57% |
| Sep 30, 2022 | -21.04% |
| Jun 30, 2022 | -21.79% |
| Mar 31, 2022 | -20.99% |
| Dec 31, 2021 | -22.75% |
Gsi Technology Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();