Gsi Technology (GSIT) Depreciation and Depletion (2011 - 2026)
Gsi Technology's Depreciation and Depletion came in at $114,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 26.7% from $90,000 a year earlier and up 8.6% from the prior quarter.
Gsi Technology (GSIT) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gsi Technology reported Depreciation and Depletion of $418,000, up 7.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $394,000, down 8.8% from FY2025.
- Depreciation and Depletion has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -16.7% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $432,000 in FY2025 (-37.7%), $693,000 in FY2024 (-11.4%), $782,000 in FY2023 (+1.4%) and $771,000 in FY2022 (-21.4%).
- The fiscal Q1 2027 figure represents the highest quarterly Depreciation and Depletion since fiscal Q1 2025.
- Year-over-year, Depreciation and Depletion has increased for three consecutive quarters, with an average decline of 14.0% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q1 2027 (growth of 26.7%), and the weakest in fiscal Q2 2025 (a decline of 40.7%).
- Business Quant data shows GSIT's Depreciation and Depletion at $105,000 (Q4 2026), $104,000 (Q3 2026) and $95,000 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 171.00 Mn |
| 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 | 2.99 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 | 114,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114,000.00 |
| Mar 31, 2026 | 105,000.00 |
| Dec 31, 2025 | 104,000.00 |
| Sep 30, 2025 | 95,000.00 |
| Jun 30, 2025 | 90,000.00 |
| Mar 31, 2025 | 96,000.00 |
| Dec 31, 2024 | 100,000.00 |
| Sep 30, 2024 | 102,000.00 |
| Jun 30, 2024 | 134,000.00 |
| Mar 31, 2024 | 150,000.00 |
| Dec 31, 2023 | 155,000.00 |
| Sep 30, 2023 | 172,000.00 |
| Jun 30, 2023 | 217,000.00 |
| Mar 31, 2023 | 194,000.00 |
| Dec 31, 2022 | 195,000.00 |
| Sep 30, 2022 | 196,000.00 |
| Jun 30, 2022 | 197,000.00 |
| Mar 31, 2022 | 194,000.00 |
| Dec 31, 2021 | 193,000.00 |
| Sep 30, 2021 | 197,000.00 |
Gsi Technology Depreciation and Depletion 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=depreciation-and-depletion&ticker=GSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();