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Deswell Industries, Inc.: cost of revenue

Deswell Industries cost of revenue: $47.6 million for the year ending 2026-03-31, down 11.8% on the year. 11 values since 2016, each linked to its SEC filing.

All Deswell Industries, Inc. financial histories

At a glance

Deswell Industries reported cost of revenue of $47.6 million for the year ending 2026-03-31, down 11.8% from $54.0 million a year earlier. From 2016 to 2026 it grew at a compound 1.8% a year, from $39.8 million to $47.6 million. Across the last five reported years it ranged from $47.6 million (2026-03-31) to $72.0 million (2022-03-31). That was 77.6% of revenue ($61.3 million) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Costs attributed to goods produced and sold and services provided during the period. This is not the sum of every operating expense.

Exact concept: us-gaap:CostOfRevenue. 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 2015-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Cost of revenue in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-04-012026-03-3147,613,000USD2026-07-3020-F · 0002077096-26-000231 SEC
2024-04-012025-03-3153,967,000USD2026-07-3020-F · 0002077096-26-000231 SEC
2023-04-012024-03-3155,465,000USD2026-07-3020-F · 0002077096-26-000231 SEC
2022-04-012023-03-3164,498,000USD2025-07-2920-F · 0001174947-25-001096 SEC
2021-04-012022-03-3172,028,000USD2024-08-0920-F · 0001174947-24-000982 SEC
2020-04-012021-03-3151,720,000USD2023-07-2820-F · 0001174947-23-000928 SEC
2019-04-012020-03-3153,504,000USD2022-07-2820-F · 0001174947-22-000859 SEC
2018-04-012019-03-3156,311,000USD2021-07-2820-F/A · 0001174947-21-000701 SEC
2017-04-012018-03-3150,953,000USD2020-07-1720-F · 0001174947-20-000830 SEC
2016-04-012017-03-3137,073,000USD2019-07-1220-F · 0001174947-19-000884 SEC
2015-04-012016-03-3139,775,000USD2018-07-1320-F · 0001174947-18-001008 SEC

Related DESWELL INDUSTRIES, INC. histories

All 49 Deswell Industries histories

Inspect the source

Entity
DESWELL INDUSTRIES, INC. / CIK 0000946936
Captured
SEC response SHA-256
fc082a5d780e86f63e1bea9f74ec3050610b0615544c10a7c4892ac6886708d3

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

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

with urlopen("https://canlicapital.com/company-data/0000946936.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"])))