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DUPONT DE NEMOURS, INC.: filings

Every DUPONT DE NEMOURS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-08-04fiscal Q2 2026411200001666700-26-000053
10-Q2026-05-05fiscal Q1 202641860001666700-26-000031
10-K2026-02-17fiscal FY 2025501770001666700-26-000013
10-Q2025-11-06fiscal Q3 2025451280001666700-25-000061
10-Q2025-08-05fiscal Q2 2025471320001666700-25-000043
10-Q2025-05-02fiscal Q1 202547980001666700-25-000020
10-K2025-02-14fiscal FY 2024501280001666700-25-000005
10-Q2024-11-05fiscal Q3 2024461280001666700-24-000036
10-Q2024-07-31fiscal Q2 2024461280001666700-24-000031
10-Q2024-05-01fiscal Q1 202446960001666700-24-000013
10-K2024-02-15fiscal FY 2023501270001666700-24-000008
10-Q2023-11-02fiscal Q3 2023471300001666700-23-000087
10-Q2023-08-03fiscal Q2 2023471300001666700-23-000082
10-Q2023-05-03fiscal Q1 2023491020001666700-23-000060
10-K2023-02-15fiscal FY 2022541410001666700-23-000008
10-Q2022-11-08fiscal Q3 2022541460001666700-22-000077
10-Q2022-08-04fiscal Q2 2022541460001666700-22-000048
10-Q2022-05-06fiscal Q1 2022541120001666700-22-000017
10-K2022-02-11fiscal FY 2021551440001666700-22-000009
10-Q2021-11-03fiscal Q3 2021531440001666700-21-000068
10-Q2021-08-04fiscal Q2 2021461320001666700-21-000057
10-Q2021-05-04fiscal Q1 202147980001666700-21-000039
10-K2021-02-12fiscal FY 2020531430001666700-21-000005
10-Q2020-10-30fiscal Q3 2020441240001666700-20-000053
10-Q2020-07-31fiscal Q2 2020441240001666700-20-000042
10-Q2020-05-05fiscal Q1 202044910001666700-20-000017
10-K2020-02-14fiscal FY 2019531560001666700-20-000006
10-Q2019-10-31fiscal Q3 2019481300001666700-19-000073
10-Q2019-08-06fiscal Q2 2019481290001666700-19-000065
10-Q2019-05-03fiscal Q1 2019511040001666700-19-000019
10-K2019-02-11fiscal FY 2018531890001666700-19-000006
10-Q2018-11-02fiscal Q3 2018481480001666700-18-000060
10-Q2018-08-03fiscal Q2 2018471440001666700-18-000041
10-Q2018-05-04fiscal Q1 2018471120001666700-18-000025
10-K2018-02-15fiscal FY 2017511500001666700-18-000009
10-Q2017-11-06fiscal Q3 2017461270001666700-17-000026

Inspect the source

Entity
DUPONT DE NEMOURS, INC. / CIK 0001666700
Captured
2026-09-21T17:24:13.850Z
SEC response SHA-256
496efa04b7364ec9f3869e58cdf53fd6fdfeb3d6f75234e3f09c2c408bf165dd

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/0001666700.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"])))