VICOR CORPORATION: revenue
Revenue for VICOR CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All VICOR CORPORATION financial histories
What this measure means
Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.
Exact concept: us-gaap:Revenues. 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 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 452,701,000 | USD | 2026-03-02 | 10-K · 0001193125-26-085102 |
| 2024-01-01 | 2024-12-31 | 359,058,000 | USD | 2026-03-02 | 10-K · 0001193125-26-085102 |
| 2023-01-01 | 2023-12-31 | 405,059,000 | USD | 2026-03-02 | 10-K · 0001193125-26-085102 |
Related financial histories
- VICOR CORPORATION: total assets
- VICOR CORPORATION: total liabilities
- VICOR CORPORATION: stockholders equity
- VICOR CORPORATION: cash and cash equivalents
- VICOR CORPORATION: net income or loss
- VICOR CORPORATION: operating cash flow
- VICOR CORPORATION: capital expenditure payments
- VICOR CORPORATION: contract revenue excluding tax
- VICOR CORPORATION: financing cash flow
- VICOR CORPORATION: investing cash flow
- VICOR CORPORATION: retained earnings or deficit
- VICOR CORPORATION: basic weighted-average shares
- VICOR CORPORATION: diluted weighted-average shares
- VICOR CORPORATION: basic earnings per share
- VICOR CORPORATION: diluted earnings per share
- VICOR CORPORATION: income tax expense or benefit
- VICOR CORPORATION: net property, plant and equipment
- VICOR CORPORATION: share-based compensation expense
- VICOR CORPORATION: operating income or loss
- VICOR CORPORATION: current assets
- VICOR CORPORATION: current liabilities
- VICOR CORPORATION: current accounts payable
- VICOR CORPORATION: net current accounts receivable
- VICOR CORPORATION: common-stock repurchase payments
- VICOR CORPORATION: operating expenses
- VICOR CORPORATION: net inventory
- VICOR CORPORATION: gross profit
- VICOR CORPORATION: selling, general and administrative expense
- VICOR CORPORATION: research and development expense
Inspect the source
- Entity
- VICOR CORPORATION / CIK 0000751978
- Captured
- 2026-09-19T15:02:02.563Z
- SEC response SHA-256
8cf4370906dc0b5912db452010d03a0065a6b7e8d9d0f5e207c3b26a3043ccb1
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
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000751978.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"])))