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SoundThinking, Inc.: filings

Every SoundThinking, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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-Q2026-08-14fiscal Q2 2026501440001193125-26-352203
10-Q2026-05-15fiscal Q1 2026491020001351636-26-000006
10-K2026-03-30fiscal FY 2025561490001193125-26-132104
10-Q2025-11-13fiscal Q3 2025501480001193125-25-280214
10-Q2025-08-13fiscal Q2 2025501430000950170-25-108070
10-Q2025-05-15fiscal Q1 2025491000000950170-25-071786
10-K2025-03-31fiscal FY 2024561480000950170-25-047539
10-Q2024-11-13fiscal Q3 2024491470000950170-24-126478
10-Q2024-08-15fiscal Q2 2024491430000950170-24-097241
10-Q2024-05-15fiscal Q1 202449990000950170-24-060537
10-K2024-04-01fiscal FY 2023561490000950170-24-039479
10-Q2023-11-14fiscal Q3 2023491440000950170-23-063769
10-Q2023-08-10fiscal Q2 2023491400000950170-23-041419
10-Q2023-05-15fiscal Q1 202347980000950170-23-021866
10-K2023-03-14fiscal FY 2022561480000950170-23-007845
10-Q2022-11-09fiscal Q3 2022471400000950170-22-023986
10-Q2022-08-10fiscal Q2 2022471360000950170-22-016521
10-Q2022-05-16fiscal Q1 202247970000950170-22-010133
10-K2022-03-29fiscal FY 2021571490000950170-22-004805
10-Q2021-11-15fiscal Q3 2021471420000950170-21-004414
10-Q2021-08-12fiscal Q2 2021471380000950170-21-001292
10-Q2021-05-12fiscal Q1 202147980000950170-21-000190
10-K2021-03-29fiscal FY 2020571480001564590-21-016134
10-Q2020-11-09fiscal Q3 2020491430001564590-20-052562
10-Q2020-08-07fiscal Q2 2020491380001564590-20-038414
10-Q2020-05-11fiscal Q1 2020481010001564590-20-024103
10-K2020-03-13fiscal FY 2019551360001564590-20-010636
10-Q2019-11-12fiscal Q3 2019491410001564590-19-043021
10-Q2019-08-06fiscal Q2 2019481360001564590-19-029461
10-Q2019-05-09fiscal Q1 201942860001564590-19-018040
10-K2019-03-04fiscal FY 2018451130001564590-19-006063
10-Q2018-11-14fiscal Q3 201837990001564590-18-029370
10-Q2018-08-08fiscal Q2 201837990001564590-18-020335
10-Q2018-05-10fiscal Q1 201835710001564590-18-012943
10-K2018-03-28fiscal FY 201736920001564590-18-006972
10-Q2017-11-14fiscal Q3 201732880001564590-17-023705
10-Q2017-08-14fiscal Q2 201733920001564590-17-017616

Inspect the source

Entity
SoundThinking, Inc. / CIK 0001351636
Captured
2026-09-20T07:55:15.062Z
SEC response SHA-256
1bd26a3c7454833ebda8633997a461ac0a83fe85c5d2f799411465b3831c8af9

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/0001351636.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"])))