Gsi Technology (GSIT) Asset Writedowns and Impairment (2010 - 2026)
Gsi Technology (GSIT) posted Asset Writedowns and Impairment of $124,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 77.1% from $70,000 a year earlier and up 79.7% from the prior quarter.
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Analysis
Gsi Technology (GSIT) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Asset Writedowns and Impairment at Gsi Technology was $355,000, up 25.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $301,000, down 1.3% from FY2025.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -8.4% (FY2021 to FY2026).
- In prior fiscal years, Gsi Technology's Asset Writedowns and Impairment was $305,000 in FY2025 (+69.4%), $180,000 in FY2024 (-20.4%), $226,000 in FY2023 (-43.8%) and $402,000 in FY2022 (-13.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly Asset Writedowns and Impairment since fiscal Q1 2022.
- On a year-over-year basis, Asset Writedowns and Impairment has increased in each of the last three quarters, with growth averaging 40.4% over the last eight quarters.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was fiscal Q3 2025, with growth of 182.6%; the weakest was fiscal Q1 2023, with a decline of 73.1%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior fiscal quarters was $69,000 (Q4 2026), $105,000 (Q3 2026) and $57,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124,000.00 |
| Mar 31, 2026 | 69,000.00 |
| Dec 31, 2025 | 105,000.00 |
| Sep 30, 2025 | 57,000.00 |
| Jun 30, 2025 | 70,000.00 |
| Mar 31, 2025 | 60,000.00 |
| Dec 31, 2024 | 65,000.00 |
| Sep 30, 2024 | 89,000.00 |
| Jun 30, 2024 | 91,000.00 |
| Mar 31, 2024 | 63,000.00 |
| Dec 31, 2023 | 23,000.00 |
| Sep 30, 2023 | 59,000.00 |
| Jun 30, 2023 | 35,000.00 |
| Mar 31, 2023 | 60,000.00 |
| Dec 31, 2022 | 77,000.00 |
| Sep 30, 2022 | 46,000.00 |
| Jun 30, 2022 | 43,000.00 |
| Mar 31, 2022 | 72,000.00 |
| Dec 31, 2021 | 65,000.00 |
| Sep 30, 2021 | 105,000.00 |
API Access
Gsi Technology Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GSIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();