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Value Line, Inc.: investing cash flow

Value Line investing cash flow: -$15.3 million for the year ending 2026-04-30, down 172.3% on the year. 14 values since 2010, each linked to its SEC filing.

All Value Line, Inc. financial histories

At a glance

Value Line reported investing cash flow of -$15.3 million for the year ending 2026-04-30, down 172.3% from $21.2 million a year earlier. Across the last five reported years it ranged from -$26.1 million (2023-04-30) to $21.2 million (2025-04-30).

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

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2009-05-01 to 2026-04-30. The SEC response was captured on 2026-09-19.

Selected filing history

Investing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-05-012026-04-30-15,326,000USD2026-07-2910-K · 0001437749-26-024817 SEC
2024-05-012025-04-3021,200,000USD2026-07-2910-K · 0001437749-26-024817 SEC
2023-05-012024-04-30-10,048,000USD2026-07-2910-K · 0001437749-26-024817 SEC
2022-05-012023-04-30-26,116,000USD2025-07-2910-K · 0001437749-25-023754 SEC
2021-05-012022-04-30-3,389,000USD2024-07-2610-K · 0001437749-24-023534 SEC
2020-05-012021-04-307,381,000USD2023-07-2810-K · 0001437749-23-020982 SEC
2019-05-012020-04-30-8,657,000USD2022-07-2610-K · 0001437749-22-017778 SEC
2018-05-012019-04-30-2,972,000USD2021-07-2910-K · 0001437749-21-017788 SEC
2017-05-012018-04-30-1,240,000USD2020-07-2810-K · 0001437749-20-015851 SEC
2016-05-012017-04-30-2,775,000USD2019-07-2610-K · 0001437749-19-014729 SEC
2015-05-012016-04-3012,207,000USD2018-07-2610-K · 0001437749-18-013821 SEC
2011-05-012012-04-3011,262,000USD2012-07-2710-K · 0001188112-12-002275 SEC
2010-05-012011-04-303,753,000USD2012-07-2710-K · 0001188112-12-002275 SEC
2009-05-012010-04-3021,085,000USD2012-07-2710-K · 0001188112-12-002275 SEC

Related VALUE LINE, INC. histories

All 36 Value Line histories

Inspect the source

Entity
VALUE LINE, INC. / CIK 0000717720
Captured
SEC response SHA-256
dfa1c10cbe9b4b13efa25af05170517324eb3076182818bdfae4effa53598e53

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/0000717720.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"])))