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ABM INDUSTRIES INCORPORATED: net income or loss

Net income or loss for ABM INDUSTRIES INCORPORATED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ABM INDUSTRIES INCORPORATED 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 2007-11-01 to 2025-10-31. 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
2024-11-012025-10-31162,400,000USD2025-12-1910-K · 0000771497-25-000031
2023-11-012024-10-3181,400,000USD2025-12-1910-K · 0000771497-25-000031
2022-11-012023-10-31251,300,000USD2025-12-1910-K · 0000771497-25-000031
2021-11-012022-10-31230,400,000USD2024-12-1910-K · 0000771497-24-000029
2020-11-012021-10-31126,300,000USD2023-12-1810-K · 0000771497-23-000025
2019-11-012020-10-31300,000USD2022-12-2110-K · 0000771497-22-000028
2018-11-012019-10-31127,400,000USD2021-12-2210-K · 0000771497-21-000038
2017-11-012018-10-3197,800,000USD2020-12-1710-K · 0000771497-20-000018
2016-11-012017-10-313,800,000USD2019-12-2010-K · 0001628280-19-015259
2015-11-012016-10-3157,200,000USD2018-12-2110-K · 0001628280-18-015372
2014-11-012015-10-3176,300,000USD2017-12-2210-K · 0001628280-17-012508
2013-11-012014-10-3175,600,000USD2016-12-2110-K · 0001628280-16-022122
2012-11-012013-10-3172,900,000USD2015-12-1710-K · 0001628280-15-009602
2011-11-012012-10-3162,600,000USD2014-12-1710-K · 0001445305-14-005592
2010-11-012011-10-3168,504,000USD2013-12-1810-K · 0001193125-13-477634
2009-11-012010-10-3164,121,000USD2012-12-2010-K · 0001193125-12-509900
2008-11-012009-10-3154,293,000USD2011-12-2310-K · 0001193125-11-351704
2007-11-012008-10-3145,434,000USD2010-12-2310-K · 0000950123-10-116105

Related financial histories

Inspect the source

Entity
ABM INDUSTRIES INCORPORATED / CIK 0000771497
Captured
2026-09-19T15:03:09.321Z
SEC response SHA-256
097b8a72edbdee2ea4ba221f97ba2968d1cd264ea47d0a140f90e33b7bbc288b

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/0000771497.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"])))