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Avangrid, Inc.: filings

Every Avangrid, 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-Q2024-10-23fiscal Q3 2024431220001634997-24-000079
10-Q2024-07-24fiscal Q2 2024431220001634997-24-000071
10-Q2024-04-24fiscal Q1 202442880001634997-24-000054
10-K2024-02-22fiscal FY 2023521340001634997-24-000031
10-Q2023-10-26fiscal Q3 2023431220001634997-23-000080
10-Q2023-07-27fiscal Q2 2023431230001634997-23-000068
10-Q2023-04-26fiscal Q1 202342880001634997-23-000041
10-K2023-02-22fiscal FY 2022531360001634997-23-000023
10-Q2022-10-26fiscal Q3 2022451260001634997-22-000056
10-Q2022-07-27fiscal Q2 2022451260001634997-22-000034
10-Q2022-04-29fiscal Q1 202244920001634997-22-000023
10-K2022-02-23fiscal FY 2021531360001634997-22-000013
10-Q2021-10-29fiscal Q3 2021441220001634997-21-000078
10-Q2021-07-30fiscal Q2 2021441220001634997-21-000069
10-Q2021-05-04fiscal Q1 202143900001634997-21-000048
10-K2021-03-01fiscal FY 2020511290001634997-21-000024
10-Q2020-10-30fiscal Q3 2020431200001634997-20-000059
10-Q2020-07-31fiscal Q2 2020431200001634997-20-000051
10-Q2020-05-05fiscal Q1 202042880001634997-20-000035
10-K2020-03-02fiscal FY 2019511640001634997-20-000017
10-Q2019-10-31fiscal Q3 2019441250001634997-19-000032
10-Q2019-08-01fiscal Q2 2019441250001634997-19-000024
10-Q2019-05-02fiscal Q1 201943930001634997-19-000016
10-K2019-03-01fiscal FY 2018431490001634997-19-000009
10-Q2018-11-02fiscal Q3 2018411150001634997-18-000029
10-Q2018-08-02fiscal Q2 2018401120001564590-18-018891
10-Q2018-05-03fiscal Q1 201835760001564590-18-010668
10-K2018-03-26fiscal FY 2017401360001564590-18-006767
10-Q2017-11-02fiscal Q3 2017361020001564590-17-021206
10-Q2017-08-01fiscal Q2 2017361010001564590-17-014658
10-Q2017-05-05fiscal Q1 201735740001564590-17-009082
10-K2017-03-10fiscal FY 2016401370001564590-17-004016
10-Q2016-11-04fiscal Q3 2016361050001564590-16-027641
10-Q2016-08-04fiscal Q2 2016351040001564590-16-022742
10-Q2016-05-12fiscal Q1 201634790001564590-16-019228
10-K2016-04-01fiscal FY 2015381320001564590-16-015808
10-Q2015-12-16fiscal Q3 201531860001193125-15-404377

Inspect the source

Entity
Avangrid, Inc. / CIK 0001634997
Captured
2026-09-21T17:21:16.581Z
SEC response SHA-256
b0364e7c7922de94e47733ca44d2ed22fea1f4040338ff57c991a08910bf17d0

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/0001634997.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"])))