Cyanotech Corp: contract revenue excluding tax
Cyanotech contract revenue excluding tax: $24.2 million for the year ending 2025-03-31, up 5.0% on the year. 9 values since 2017, each linked to its SEC filing.
All Cyanotech Corp financial histories
At a glance
Cyanotech reported contract revenue excluding tax of $24.2 million for the year ending 2025-03-31, up 5.0% from $23.1 million a year earlier. From 2017 to 2025 it fell at a compound 3.4% a year, from $32.0 million to $24.2 million. Across the last five reported years it ranged from $23.1 million (2024-03-31) to $36.0 million (2022-03-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.
Exact concept: us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax. 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 2016-04-01 to 2025-03-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-04-01 | 2025-03-31 | 24,215,000 | USD | 2025-06-20 | 10-K · 0001437749-25-020904 SEC |
| 2023-04-01 | 2024-03-31 | 23,071,000 | USD | 2025-06-20 | 10-K · 0001437749-25-020904 SEC |
| 2022-04-01 | 2023-03-31 | 23,178,000 | USD | 2024-06-26 | 10-K · 0001437749-24-021266 SEC |
| 2021-04-01 | 2022-03-31 | 35,968,000 | USD | 2024-06-26 | 10-K · 0001437749-24-021266 SEC |
| 2020-04-01 | 2021-03-31 | 32,345,000 | USD | 2023-06-27 | 10-K · 0001437749-23-018616 SEC |
| 2019-04-01 | 2020-03-31 | 31,899,000 | USD | 2022-06-22 | 10-K · 0001437749-22-015612 SEC |
| 2018-04-01 | 2019-03-31 | 30,202,000 | USD | 2021-06-22 | 10-K · 0001437749-21-015361 SEC |
| 2017-04-01 | 2018-03-31 | 34,115,000 | USD | 2020-06-23 | 10-K · 0001437749-20-013699 SEC |
| 2016-04-01 | 2017-03-31 | 32,042,000 | USD | 2019-07-01 | 10-K · 0001437749-19-013217 SEC |
Related Cyanotech Corp histories
Inspect the source
- Entity
- Cyanotech Corp / CIK 0000768408
- Captured
- SEC response SHA-256
998d42b40ad13e583bce18ee35c26f297aebe7f67159a6ce4df50bdfc6b5c900
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000768408.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"])))