Skip to content

WASTE MANAGEMENT INC: net income or loss

Net income or loss for WASTE MANAGEMENT INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All WASTE MANAGEMENT INC financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-312,708,000,000USD2026-02-0910-K · 0001104659-26-012049
2024-01-012024-12-312,746,000,000USD2026-02-0910-K · 0001104659-26-012049
2023-01-012023-12-312,304,000,000USD2026-02-0910-K · 0001104659-26-012049
2022-01-012022-12-312,238,000,000USD2025-02-1910-K · 0001558370-25-001132
2021-01-012021-12-311,816,000,000USD2024-02-1310-K · 0001558370-24-001049
2020-01-012020-12-311,496,000,000USD2023-02-0710-K · 0001558370-23-000964
2019-01-012019-12-311,670,000,000USD2022-02-1510-K · 0001558370-22-001179
2018-01-012018-12-311,925,000,000USD2021-02-2210-K · 0001558370-21-001348
2017-01-012017-12-311,949,000,000USD2020-02-1310-K · 0001558370-20-000762
2016-01-012016-12-311,182,000,000USD2019-02-1410-K · 0001558370-19-000662
2015-01-012015-12-31753,000,000USD2018-02-1510-K · 0001558370-18-000716
2014-01-012014-12-311,298,000,000USD2017-02-1610-K · 0001193125-17-046480
2013-01-012013-12-3198,000,000USD2014-02-1810-K · 0001193125-14-056656
2012-01-012012-12-31817,000,000USD2014-02-1810-K · 0001193125-14-056656
2011-01-012011-12-31961,000,000USD2014-02-1810-K · 0001193125-14-056656
2010-01-012010-12-31953,000,000USD2013-02-1410-K · 0001193125-13-058892
2009-01-012009-12-31994,000,000USD2012-02-1610-K · 0001193125-12-065370
2008-01-012008-12-311,087,000,000USD2011-02-1710-K · 0000950123-11-015242
2007-01-012007-12-311,163,000,000USD2010-02-1610-K · 0000950123-10-013022

Related financial histories

Inspect the source

Entity
WASTE MANAGEMENT INC / CIK 0000823768
Captured
2026-09-19T15:07:40.548Z
SEC response SHA-256
83672003d7cb177ccd772467684a05c7471ded8af93c0f7ed59b9e7a2cd97119

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

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/0000823768.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"])))