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Rekor Systems, Inc.: filings

Every Rekor Systems, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 38 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-Q2026-08-13fiscal Q2 2026471250001437749-26-027488
10-Q2026-05-11fiscal Q1 202647950001437749-26-016117
10-K2026-03-31fiscal FY 2025511030001437749-26-010647
10-Q2025-11-13fiscal Q3 2025481270001437749-25-034814
10-Q2025-08-12fiscal Q2 2025481270001437749-25-026204
10-Q2025-05-14fiscal Q1 202547950001437749-25-016859
10-K2025-03-31fiscal FY 2024511020001437749-25-010193
10-Q2024-11-14fiscal Q3 2024471270001437749-24-035319
10-Q2024-08-14fiscal Q2 2024471350001437749-24-026792
10-Q2024-05-15fiscal Q1 202446940001437749-24-017081
10-K2024-03-25fiscal FY 2023511030001437749-24-009219
10-Q2023-11-14fiscal Q3 2023481270001437749-23-031990
10-Q2023-08-14fiscal Q2 2023481270001437749-23-023682
10-Q2023-05-15fiscal Q1 202349990001437749-23-014612
10-K2023-03-29fiscal FY 2022491000001437749-23-008442
10-Q2022-11-14fiscal Q3 2022491320001437749-22-027309
10-Q2022-08-11fiscal Q2 2022491320001437749-22-020133
10-Q2022-05-16fiscal Q1 202246940001437749-22-012614
10-K2022-03-31fiscal FY 202146920001437749-22-007845
10-Q2021-11-15fiscal Q3 2021421090001654954-21-012207
10-Q2021-08-16fiscal Q2 2021441100001654954-21-009064
10-Q2021-05-10fiscal Q1 202146950001654954-21-005348
10-K2021-03-12fiscal FY 202048950001654954-21-002727
10-Q2020-11-09fiscal Q3 2020431210001654954-20-011990
10-Q2020-08-03fiscal Q2 2020421170001654954-20-008325
10-Q2020-05-13fiscal Q1 202042870001654954-20-005377
10-K2020-03-30fiscal FY 201950990001654954-20-003502
10-Q/A2019-11-15fiscal Q3 2019421170001654954-19-013067
10-Q2019-08-14fiscal Q2 2019421180001654954-19-009417
10-Q2019-05-14fiscal Q1 201947940001654954-19-005906
10-K2019-04-11fiscal FY 201846920001654954-19-004295
10-Q2018-11-13fiscal Q3 2018451220001654954-18-012413
10-Q2018-08-14fiscal Q2 2018441180001654954-18-009167
10-Q2018-05-15fiscal Q1 201844880001654954-18-005426
10-K2018-04-12fiscal FY 201746920001654954-18-003839
10-Q/A2018-01-25fiscal Q3 2017431180001654954-18-000712
10-Q2017-11-13fiscal Q3 2017431180001654954-17-010485
10-Q2017-08-15fiscal Q2 201725460001654954-17-007618

Inspect the source

Entity
Rekor Systems, Inc. / CIK 0001697851
Captured
2026-09-21T17:25:40.492Z
SEC response SHA-256
29e4df97ccbc33f6cbbfca659049fee11e455c7f3cd39aeb3ed2dfbc9a33f684

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/0001697851.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"])))