Skip to content

GSI TECHNOLOGY INC: research and development expense

Research and development expense for GSI TECHNOLOGY INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All GSI TECHNOLOGY INC financial histories

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-04-012026-03-3119,947,000USD2026-06-0510-K · 0001104659-26-070962
2024-04-012025-03-3116,005,000USD2026-06-0510-K · 0001104659-26-070962
2023-04-012024-03-3121,689,000USD2026-06-0510-K · 0001104659-26-070962
2022-04-012023-03-3123,550,000USD2025-06-1810-K · 0001558370-25-008723
2021-04-012022-03-3124,672,000USD2024-06-1310-K · 0001558370-24-009139
2020-04-012021-03-3123,344,000USD2023-06-2810-K · 0001558370-23-011516
2019-04-012020-03-3125,223,000USD2022-06-2910-K · 0001558370-22-010443
2018-04-012019-03-3121,355,000USD2021-06-0410-K · 0001558370-21-008016
2017-04-012018-03-3116,998,000USD2020-06-0510-K · 0001558370-20-007308
2016-04-012017-03-3115,803,000USD2019-06-1310-K · 0001558370-19-005677
2015-04-012016-03-3112,095,000USD2018-06-0110-K · 0001558370-18-005106
2014-04-012015-03-3111,917,000USD2017-06-0510-K · 0001558370-17-004663
2013-04-012014-03-3113,110,000USD2016-06-1010-K · 0001558370-16-006362
2012-04-012013-03-3111,472,000USD2015-06-1110-K · 0001558370-15-001072
2011-04-012012-03-3110,637,000USD2014-06-1110-K · 0001558370-14-000054
2010-04-012011-03-3110,632,000USD2013-06-0410-K · 0001102624-13-000684
2009-04-012010-03-319,069,000USD2012-06-0410-K · 0001126741-12-000006

Related financial histories

Inspect the source

Entity
GSI TECHNOLOGY INC / CIK 0001126741
Captured
2026-09-20T07:40:32.089Z
SEC response SHA-256
05f6cbb6f113ab4b981dd959001c421a9989e7691a5976f46b486a7f76fc57ad

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001126741.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))