National Beverage Corp.: operating income or loss
National Beverage operating income or loss: $230.1 million for the year ending 2026-05-02, down 2.3% on the year. 9 values since 2018 from SEC filings.
All National Beverage Corp. financial histories
At a glance
National Beverage reported operating income or loss of $230.1 million for the year ending 2026-05-02, down 2.3% from $235.5 million a year earlier. From 2018 to 2026 it grew at a compound 1.5% a year, from $204.2 million to $230.1 million. Across the last five reported years it ranged from $186.7 million (2023-04-29) to $235.5 million (2025-05-03). That was 19.5% of revenue ($1.18 billion) 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
Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.
Exact concept: us-gaap:OperatingIncomeLoss. 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 2017-04-30 to 2026-05-02. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-05-04 | 2026-05-02 | 230,110,000 | USD | 2026-07-01 | 10-K · 0001437749-26-022315 SEC |
| 2024-04-28 | 2025-05-03 | 235,459,000 | USD | 2026-07-01 | 10-K · 0001437749-26-022315 SEC |
| 2023-04-30 | 2024-04-27 | 218,510,000 | USD | 2026-07-01 | 10-K · 0001437749-26-022315 SEC |
| 2022-05-01 | 2023-04-29 | 186,684,000 | USD | 2025-07-02 | 10-K · 0001437749-25-022007 SEC |
| 2021-05-02 | 2022-04-30 | 207,856,000 | USD | 2024-06-26 | 10-K · 0001437749-24-021311 SEC |
| 2020-05-03 | 2021-05-01 | 227,825,000 | USD | 2023-06-28 | 10-K · 0001437749-23-018790 SEC |
| 2019-04-28 | 2020-05-02 | 165,746,000 | USD | 2022-06-29 | 10-K · 0001437749-22-016173 SEC |
| 2018-04-29 | 2019-04-27 | 179,935,000 | USD | 2021-06-30 | 10-K · 0001437749-21-016078 SEC |
| 2017-04-30 | 2018-04-28 | 204,188,000 | USD | 2020-07-01 | 10-K · 0001437749-20-014395 SEC |
Related National Beverage Corp. histories
Inspect the source
- Entity
- National Beverage Corp. / CIK 0000069891
- Captured
- SEC response SHA-256
1885b23292c96abdd8d8719ffa075dffddff627eaf59ab70d431d04c80a924be
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
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/0000069891.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"])))