Gsi Technology (GSIT) Return on Assets [ROA] (2011 - 2026)
Gsi Technology's Return on Assets [ROA] came in at -15.33% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 14.42 percentage points from -29.75% a year earlier but down 1.83 percentage points from the prior quarter.
Gsi Technology (GSIT) Return on Assets [ROA] (2011 - 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 four consecutive quarters, with an average year-over-year change of +9.87 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 -13.50% (Q4 2026), -14.19% (Q3 2026) and -22.80% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.53% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 7.86% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.84% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 42.83% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.84% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -5.49% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 32.78% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 22.11% |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn | -15.33% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -22.85% |
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();