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QUALCOMM INC/DE: net income or loss

Net income or loss for QUALCOMM INC/DE. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All QUALCOMM INC/DE financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2006-09-25 to 2025-09-28. The SEC response was captured on 2026-09-19.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-09-302025-09-285,541,000,000USD2025-11-0510-K · 0000804328-25-000085
2023-09-252024-09-2910,142,000,000USD2025-11-0510-K · 0000804328-25-000085
2022-09-262023-09-247,232,000,000USD2025-11-0510-K · 0000804328-25-000085
2021-09-272022-09-2512,936,000,000USD2024-11-0610-K · 0000804328-24-000075
2020-09-282021-09-269,043,000,000USD2023-11-0110-K · 0000804328-23-000055
2019-09-302020-09-275,198,000,000USD2022-11-0210-K · 0000804328-22-000021
2018-10-012019-09-294,386,000,000USD2021-11-0310-K · 0001728949-21-000076
2017-09-252018-09-30-4,964,000,000USD2020-11-0410-K · 0001728949-20-000067
2016-09-262017-09-242,445,000,000USD2019-11-0610-K · 0001728949-19-000072
2015-09-282016-09-255,705,000,000USD2018-11-0710-K · 0001728949-18-000095
2014-09-292015-09-275,271,000,000USD2017-11-0110-K · 0001234452-17-000190
2013-09-302014-09-287,967,000,000USD2016-11-0210-K · 0001234452-16-000552
2012-10-012013-09-296,853,000,000USD2015-11-0410-K · 0001234452-15-000271
2011-09-262012-09-306,109,000,000USD2014-11-0510-K · 0001234452-14-000320
2010-09-272011-09-254,260,000,000USD2013-11-0610-K · 0001234452-13-000483
2009-09-282010-09-263,247,000,000USD2012-11-0710-K · 0001234452-12-000371
2008-09-292009-09-271,592,000,000USD2011-11-0210-K · 0001234452-11-000360
2007-10-012008-09-283,160,000,000USD2010-11-0310-K · 0000950123-10-100207
2006-09-252007-09-303,303,000,000USD2009-12-2210-K/A · 0000950123-09-072780

Related financial histories

Inspect the source

Entity
QUALCOMM INC/DE / CIK 0000804328
Captured
2026-09-19T15:05:37.027Z
SEC response SHA-256
a466da4777ec1202313896d695272832882fd9875e955bab974ce9185bf4a8e7

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/0000804328.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"])))