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Monogram Technologies Inc.: filings

Every Monogram Technologies Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 10 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-Q2025-08-15fiscal Q2 2025371020001410578-25-001836
10-Q2025-05-14fiscal Q1 202538790001410578-25-001264
10-K2025-03-12fiscal FY 202448930001410578-25-000321
10-Q2024-11-14fiscal Q3 2024381080001410578-24-001996
10-Q2024-08-15fiscal Q2 2024391060001410578-24-001488
10-Q2024-05-14fiscal Q1 202437750001410578-24-000765
10-K2024-03-15fiscal FY 202345870001410578-24-000204
10-Q2023-11-08fiscal Q3 2023361050001410578-23-002230
10-Q2023-08-09fiscal Q2 2023371030001410578-23-001639
10-Q2023-06-06fiscal Q1 202335730001410578-23-001420

Inspect the source

Entity
Monogram Technologies Inc. / CIK 0001769759
Captured
2026-09-21T17:26:43.881Z
SEC response SHA-256
334f4f2bba18a84c00e2773eeb496d0060e8df8d5f85fe5c9ec85d521db34f77

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/0001769759.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"])))