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QUANTUM COMPUTING INC.: filings

Every QUANTUM COMPUTING 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-Q2026-08-10fiscal Q2 2026561550001628280-26-055218
10-Q2026-05-11fiscal Q1 2026551120001213900-26-054473
10-K2026-03-02fiscal FY 2025561410001213900-26-022417
10-Q2025-11-14fiscal Q3 2025551500001213900-25-110814
10-Q2025-08-14fiscal Q2 2025531430001213900-25-076846
10-Q2025-05-15fiscal Q1 2025531090001213900-25-044341
10-K2025-03-20fiscal FY 2024521040001213900-25-025561
10-Q2024-11-06fiscal Q3 2024521430001213900-24-094983
10-Q2024-10-02fiscal Q2 2024511390001213900-24-084727
10-Q2024-10-02fiscal Q1 2024511030001213900-24-084716
10-K/A2024-09-11fiscal FY 2023521010001213900-24-077754
10-K2024-04-01fiscal FY 202344870001213900-24-028799
10-Q2023-11-13fiscal Q3 2023471280001213900-23-086246
10-Q2023-08-14fiscal Q2 2023461220001213900-23-067059
10-K/A2023-06-26fiscal FY 202245810001213900-23-051721
10-Q2023-05-12fiscal Q1 202346920001213900-23-038633
10-K2023-03-30fiscal FY 202245810001213900-23-024218
10-Q2022-11-14fiscal Q3 2022391040001213900-22-072142
10-Q2022-08-15fiscal Q2 202238990001213900-22-048207
10-Q2022-05-23fiscal Q1 202234670001213900-22-029018
10-K2022-03-15fiscal FY 202129570001213900-22-012564
10-Q2021-11-05fiscal Q3 202127710001213900-21-057010
10-Q2021-08-16fiscal Q2 202127690001213900-21-042890
10-Q2021-05-13fiscal Q1 202125540001213900-21-026150
10-K2021-03-18fiscal FY 202026530001213900-21-016296
10-Q2020-11-13fiscal Q3 202026740001213900-20-036783
10-Q2020-08-10fiscal Q2 202026650001213900-20-021077
10-Q2020-05-12fiscal Q1 202025510001213900-20-011795
10-K2020-03-27fiscal FY 201925510001213900-20-007719
10-Q2019-11-13fiscal Q3 201925720001213900-19-023010
10-Q2019-08-02fiscal Q2 201924620001213900-19-014436
10-Q/A2019-06-07fiscal Q1 201923450001213900-19-010271
10-K/A2019-06-07fiscal FY 201826370001213900-19-010269
10-Q2019-05-14fiscal Q1 201923450001213900-19-008528
10-K/A2019-05-10fiscal FY 201826370001213900-19-008229
10-K/A2019-04-26fiscal FY 201826370001213900-19-007180
10-K2019-03-28fiscal FY 201826350001213900-19-005062

Inspect the source

Entity
QUANTUM COMPUTING INC. / CIK 0001758009
Captured
2026-09-21T17:29:28.874Z
SEC response SHA-256
800636e1886f0d7d88fe1b988a36518dd1db78e85c73a9a5ddcd363321c85716

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/0001758009.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"])))