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FRANKSPEECH NETWORK, INC.: filings

Every FRANKSPEECH NETWORK, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 10 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2025-02-27fiscal Q1 201826480001213900-25-017817
10-K2018-06-14fiscal FY 201728570001213900-18-007641
10-Q2017-11-20fiscal Q3 201728760001213900-17-012398
10-Q2017-08-21fiscal Q2 201728780001213900-17-009018
10-Q2017-05-22fiscal Q1 201724500001213900-17-005707
10-K2017-03-31fiscal FY 201625480001213900-17-003134
10-Q2016-11-14fiscal Q3 201628750001213900-16-018528
10-Q2016-10-03fiscal Q2 201627690001213900-16-017222
10-Q2016-10-03fiscal Q1 201623420001213900-16-017221
10-K2016-10-03fiscal FY 201524370001213900-16-017220

Inspect the source

Entity
FRANKSPEECH NETWORK, INC. / CIK 0001099234
Captured
2026-09-20T05:22:53.943Z
SEC response SHA-256
2d0bb83b26107d9a25085d4df62447b8b70823803fdfd68c0b007adc175d96a6

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001099234.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"])))