DSS, Inc.: cost of revenue
DSS cost of revenue: $37.5 million for the year ending 2022-12-31, up 122.7% on the year. 5 values since 2010 from SEC filings, each linked to its filing.
All DSS, Inc. financial histories
At a glance
DSS reported cost of revenue of $37.5 million for the year ending 2022-12-31, up 122.7% from $16.8 million a year earlier. From 2010 to 2022 it grew at a compound 11.9% a year, from $9.70 million to $37.5 million. Across the last five reported years it ranged from $9.21 million (2011-12-31) to $37.5 million (2022-12-31). That was 132.0% of revenue ($28.4 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 2010-01-01 to 2022-12-31. The SEC response was captured on 2026-09-19.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2022-01-01 | 2022-12-31 | 37,463,000 | USD | 2023-03-31 | 10-K · 0001493152-23-010334 SEC |
| 2021-01-01 | 2021-12-31 | 16,824,000 | USD | 2023-03-31 | 10-K · 0001493152-23-010334 SEC |
| 2012-01-01 | 2012-12-31 | 11,387,188 | USD | 2013-03-06 | 10-K · 0001144204-13-013265 SEC |
| 2011-01-01 | 2011-12-31 | 9,211,725 | USD | 2013-03-06 | 10-K · 0001144204-13-013265 SEC |
| 2010-01-01 | 2010-12-31 | 9,696,257 | USD | 2012-03-19 | 10-K · 0001144204-12-015842 SEC |
Related DSS, INC. histories
Inspect the source
- Entity
- DSS, INC. / CIK 0000771999
- Captured
- SEC response SHA-256
bf56a22d51aa7a4f39c3e7e23cbeaf559e1aaf9e12d08526627fcdb1c71275ab
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.
- Get an API key and run your first validation
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- Read the MCP server source and integration examples
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/0000771999.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"])))