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Advanced Disposal Services, Inc.: filings

Every Advanced Disposal Services, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 28 filings, each linked to its SEC index.

Filing record ends 2020-07-31

The latest filing in this captured record is a 10-Q filed 2020-07-31. No later filing is in the SEC companyfacts record captured on 2026-09-22. Advanced Disposal Services, Inc. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2020-07-31fiscal Q2 2020451280001628280-20-011084
10-Q2020-05-07fiscal Q1 202045940001628280-20-006798
10-K2020-02-24fiscal FY 2019561790001628280-20-002065
10-Q2019-10-30fiscal Q3 2019481370001628280-19-012744
10-Q2019-07-30fiscal Q2 2019481350001628280-19-009256
10-Q2019-04-30fiscal Q1 201948950001628280-19-005194
10-K2019-02-26fiscal FY 2018531770001628280-19-001961
10-Q2018-11-01fiscal Q3 2018441180001628280-18-013323
10-Q2018-08-07fiscal Q2 2018431160001628280-18-010719
10-Q2018-05-07fiscal Q1 201843880001628280-18-006044
10-K2018-02-28fiscal FY 2017521650001628280-18-002527
10-Q2017-11-03fiscal Q3 2017391060001628280-17-010782
10-Q2017-08-04fiscal Q2 2017391060001628280-17-008140
10-Q2017-05-08fiscal Q1 201739800001628280-17-005161
10-K2017-02-24fiscal FY 2016491570001628280-17-001730
10-Q2016-11-03fiscal Q3 2016391060001628280-16-020700
10-Q2016-08-05fiscal Q2 201635900001628280-16-018598
10-Q2016-05-04fiscal Q1 201634700001628280-16-015454
10-K2016-03-04fiscal FY 2015461330001628280-16-012283
10-Q2015-10-30fiscal Q3 201535900001628280-15-008069
10-Q2015-08-12fiscal Q2 201535920001628280-15-006548
10-Q2015-05-07fiscal Q1 201535720001628280-15-003851
10-K2015-03-10fiscal FY 2014451340001628280-15-001654
10-Q2014-11-13fiscal Q3 201435920001445305-14-005098
10-Q2014-08-14fiscal Q2 201435920001445305-14-003690
10-Q2014-05-14fiscal Q1 201435710001193125-14-198927
10-K2014-03-21fiscal FY 2013461360001193125-14-110280
10-Q2013-11-14fiscal Q3 201338990001193125-13-442031

Inspect the source

Entity
Advanced Disposal Services, Inc. / CIK 0001585790
Captured
SEC response SHA-256
14c0675919218bc3f988254e208cc7d0a01bc7e88086673cfbd56469c5e09005

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/0001585790.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"])))