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WRAP TECHNOLOGIES, INC.: filings

Every WRAP TECHNOLOGIES, 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-Q2026-08-11fiscal Q2 2026481370001140361-26-032276
10-Q2026-05-13fiscal Q1 202648970001140361-26-021091
10-K2026-03-26fiscal FY 2025571110001140361-26-011401
10-Q2025-11-13fiscal Q3 2025501380001140361-25-041816
10-Q2025-08-14fiscal Q2 2025491370001641172-25-024162
10-Q2025-05-15fiscal Q1 202547940001641172-25-011065
10-K2025-03-31fiscal FY 2024511020001641172-25-001416
10-Q2024-11-14fiscal Q3 2024491320001437749-24-035368
10-Q2024-10-15fiscal Q2 2024491330001437749-24-031161
10-Q2024-09-25fiscal Q1 202449990001437749-24-029935
10-K2024-08-28fiscal FY 2023511020001437749-24-027942
10-Q2023-11-14fiscal Q3 2023491340001437749-23-031987
10-Q2023-08-10fiscal Q2 2023471280001437749-23-023001
10-Q2023-05-10fiscal Q1 202347960001437749-23-013651
10-K2023-03-02fiscal FY 2022511060001437749-23-005218
10-Q2022-11-09fiscal FY 2022481310001851734-22-000651
10-Q2022-08-10fiscal Q2 2022481310001851734-22-000421
10-Q2022-05-03fiscal Q1 202248990001851734-22-000227
10-K2022-03-10fiscal FY 2021501010001851734-22-000144
10-Q2021-10-28fiscal Q3 2021441190001851734-21-000017
10-Q2021-07-29fiscal Q2 2021451250001654954-21-008322
10-Q2021-04-29fiscal Q1 202144910001654954-21-004801
10-K2021-03-04fiscal FY 202048980001654954-21-002358
10-Q2020-10-29fiscal Q3 2020441230001654954-20-011591
10-Q2020-07-31fiscal Q2 2020421170001654954-20-008212
10-Q2020-04-29fiscal Q1 202040840001654954-20-004630
10-K2020-03-10fiscal FY 201947950001654954-20-002439
10-Q2019-10-31fiscal Q3 2019411130001654954-19-012185
10-Q2019-08-05fiscal Q2 2019411130001654954-19-008841
10-Q2019-05-03fiscal Q1 201938770001654954-19-005264
10-K2019-03-07fiscal FY 201842840001654954-19-002417
10-Q2018-11-09fiscal Q3 201835960001654954-18-012310
10-Q2018-08-03fiscal Q2 201831820001654954-18-008455
10-Q2018-05-08fiscal Q1 201830560001654954-18-004844
10-K2018-03-06fiscal FY 201734620001654954-18-002199
10-Q2017-11-07fiscal Q3 201729710001654954-17-010152
10-Q2017-09-08fiscal Q2 201729750001654954-17-008274

Inspect the source

Entity
WRAP TECHNOLOGIES, INC. / CIK 0001702924
Captured
2026-09-21T17:25:58.492Z
SEC response SHA-256
894b5d207781345b6d64309f3b094d68c228923fc236c67d0454d4bbadf63f7d

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/0001702924.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"])))