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Super Micro Computer, Inc.: research and development expense

Research and development expense for Super Micro Computer, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Super Micro Computer, 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 2009-07-01 to 2026-06-30. 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
2025-07-012026-06-30771,232,000USD2026-08-3110-K · 0001375365-26-000022
2024-07-012025-06-30636,550,000USD2026-08-3110-K · 0001375365-26-000022
2023-07-012024-06-30463,548,000USD2026-08-3110-K · 0001375365-26-000022
2022-07-012023-06-30307,260,000USD2025-08-2810-K · 0001375365-25-000027
2021-07-012022-06-30272,273,000USD2025-02-2510-K · 0001375365-25-000004
2020-07-012021-06-30224,369,000USD2023-08-2810-K · 0001375365-23-000036
2019-07-012020-06-30221,478,000USD2022-08-2910-K · 0001375365-22-000103
2018-07-012019-06-30179,907,000USD2021-08-2710-K · 0001375365-21-000060
2017-07-012018-06-30165,104,000USD2020-08-3110-K · 0001375365-20-000064
2016-07-012017-06-30143,992,000USD2019-12-1910-K · 0001375365-19-000079
2015-07-012016-06-30124,223,000USD2019-05-1710-K · 0001375365-19-000039
2014-07-012015-06-30101,402,000USD2019-05-1710-K · 0001375365-19-000039
2013-07-012014-06-3084,257,000USD2016-08-2610-K · 0001628280-16-019274
2012-07-012013-06-3075,208,000USD2015-11-1610-K/A · 0001628280-15-008827
2011-07-012012-06-3064,223,000USD2014-09-1510-K · 0001445305-14-003958
2010-07-012011-06-3048,108,000USD2013-09-1110-K · 0001445305-13-002262
2009-07-012010-06-3037,382,000USD2012-09-1310-K · 0001445305-12-002860

Related financial histories

Inspect the source

Entity
Super Micro Computer, Inc. / CIK 0001375365
Captured
2026-09-20T07:57:27.306Z
SEC response SHA-256
039172a7eec0fe46077ce444eb12280a0e625f5cec313c058903ec7016d82794

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/0001375365.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"])))