Gsi Technology (GSIT) Intangibles (2015 - 2026)
Gsi Technology (GSIT) posted Intangibles of $1.03 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 18.4% from $1.26 million a year earlier and down 5.3% from the prior quarter.
Gsi Technology (GSIT) Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Gsi Technology's Intangibles came in at $1.09 million, down 17.7% from FY2025.
- Annual Intangibles has declined for ten consecutive fiscal years, with a five-year compound annual growth rate of -13.6% (FY2021 to FY2026).
- In prior fiscal years, Gsi Technology's Intangibles was $1.32 million in FY2025 (-15.0%), $1.56 million in FY2024 (-13.1%), $1.79 million in FY2023 (-11.5%) and $2.02 million in FY2022 (-10.3%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Intangibles since fiscal Q4 2015.
- On a year-over-year basis, Intangibles has declined in each of the last 20 quarters, with an average decline of 16.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Intangibles ran from 9.8% in fiscal Q2 2022 to 18.4% in fiscal Q1 2027.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $1.09 million (Q4 2026), $1.15 million (Q3 2026) and $1.21 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 761.69 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 473.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 628.70 Mn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.55 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 | 315.00 Mn |
| 10 | Gsi Technology | 215.27 Mn | -24.99 Mn | 3.37 Mn | 1.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | 1.09 Mn |
| Dec 31, 2025 | 1.15 Mn |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.38 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 1.61 Mn |
| Sep 30, 2023 | 1.67 Mn |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | 1.79 Mn |
| Dec 31, 2022 | 1.85 Mn |
| Sep 30, 2022 | 1.91 Mn |
| Jun 30, 2022 | 1.96 Mn |
| Mar 31, 2022 | 2.02 Mn |
| Dec 31, 2021 | 2.08 Mn |
| Sep 30, 2021 | 2.14 Mn |
Gsi Technology Intangibles 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=intangibles&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();