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SolarMax Technology, Inc.: filings

Every SolarMax Technology, 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-Q2026-05-15fiscal Q1 2026491040001640334-26-000909
10-K2026-04-06fiscal FY 2025541110001640334-26-000651
10-Q2025-11-14fiscal Q3 2025521470001640334-25-002119
10-Q2025-08-14fiscal Q2 2025541530001640334-25-001506
10-Q2025-05-16fiscal Q1 2025541130001640334-25-000889
10-K2025-03-31fiscal FY 2024551130001640334-25-000556
10-Q2024-11-14fiscal Q3 2024521460001640334-24-001737
10-Q2024-08-14fiscal Q2 2024471290001640334-24-001253
10-Q2024-05-15fiscal Q1 202446990001640334-24-000809
10-K2024-04-16fiscal FY 2023501040001640334-24-000675

Inspect the source

Entity
SolarMax Technology, Inc. / CIK 0001519472
Captured
2026-09-20T09:14:27.028Z
SEC response SHA-256
3e6864d006383336c26fba89221749cea450fc3b9e5b66f392aac0b68ca76517

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/0001519472.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"])))