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Polar Power, Inc.: filings

Every Polar Power, 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-Q2026-08-18fiscal Q2 2026381080001493152-26-039040
10-Q2026-05-20fiscal Q1 202639780001493152-26-024680
10-K2026-04-15fiscal FY 202544850001493152-26-016671
10-Q2025-11-19fiscal Q3 2025411170001493152-25-024286
10-Q2025-08-14fiscal Q2 2025411170001641172-25-023986
10-Q2025-05-15fiscal Q1 202538780001641172-25-010887
10-K2025-03-31fiscal FY 202442840001641172-25-001504
10-Q2024-11-14fiscal Q3 2024391130001493152-24-045866
10-Q2024-08-14fiscal Q2 2024391130001493152-24-032217
10-Q2024-05-15fiscal Q1 202437760001493152-24-019861
10-K2024-04-01fiscal FY 202345870001493152-24-012355
10-Q2023-11-14fiscal Q3 2023421180001493152-23-041120
10-Q2023-08-14fiscal Q2 2023401150001493152-23-028505
10-Q2023-05-15fiscal Q1 202338750001493152-23-017325
10-K2023-03-31fiscal FY 202241810001493152-23-010248
10-Q2022-11-14fiscal Q3 2022411190001493152-22-032038
10-Q2022-08-15fiscal Q2 2022381050001493152-22-022895
10-Q2022-05-16fiscal Q1 202238750001493152-22-013771
10-K2022-03-31fiscal FY 202141800001493152-22-008449
10-Q2021-11-15fiscal Q3 2021461240001493152-21-028611
10-Q2021-08-16fiscal Q2 2021401050001493152-21-020026
10-Q2021-05-17fiscal Q1 202140770001493152-21-011951
10-K2021-03-31fiscal FY 202042820001493152-21-007482
10-Q2020-11-16fiscal Q3 2020401060001493152-20-021742
10-Q2020-08-14fiscal Q2 2020411070001493152-20-015916
10-Q2020-06-29fiscal Q1 202039780001213900-20-016060
10-K2020-05-14fiscal FY 201939760001213900-20-012207
10-Q2019-11-14fiscal Q3 201935950001213900-19-023521
10-Q2019-08-14fiscal Q2 201935950001213900-19-015855
10-Q2019-05-15fiscal Q1 201935730001615774-19-007911
10-K2019-04-01fiscal FY 201836710001615774-19-005133
10-Q2018-11-14fiscal Q3 201833900001615774-18-012734
10-Q2018-08-14fiscal Q2 201833900001615774-18-008083
10-Q2018-05-15fiscal Q1 201833670001615774-18-003829
10-K2018-04-02fiscal FY 201736690001615774-18-002313
10-Q2017-11-13fiscal Q3 201732860001615774-17-006573
10-Q2017-08-14fiscal Q2 201728780001615774-17-004359
10-Q2017-05-15fiscal Q1 201728580001615774-17-002365

Inspect the source

Entity
Polar Power, Inc. / CIK 0001622345
Captured
2026-09-21T17:21:52.050Z
SEC response SHA-256
06d5418c20aeefc9c388291c359f6cab2420c618e3f61cf9e31d46e5d407e71b

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/0001622345.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"])))