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Apartment Investment and Management Company: operating income or loss

Operating income or loss for Apartment Investment and Management Company. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Apartment Investment and Management Company financial histories

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. 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 2008-01-01 to 2024-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Operating income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-01-012024-12-31117,695,000USD2025-02-2410-K · 0000950170-25-025775
2023-01-012023-12-31113,283,000USD2025-02-2410-K · 0000950170-25-025775
2022-01-012022-12-31118,552,000USD2025-02-2410-K · 0000950170-25-025775
2021-01-012021-12-31-15,640,000USD2024-02-2610-K · 0000950170-24-020232
2020-01-012020-12-31-14,357,000USD2023-02-2710-K · 0000950170-23-004699
2019-01-012019-12-3115,059,000USD2022-03-0110-K · 0001564590-22-008111
2017-01-012017-12-31193,983,000USD2018-03-0110-K · 0000922864-18-000006
2016-01-012016-12-31246,796,000USD2018-03-0110-K · 0000922864-18-000006
2015-01-012015-12-31256,215,000USD2018-03-0110-K · 0000922864-18-000006
2014-01-012014-12-31262,350,000USD2017-02-2410-K · 0000922864-17-000006
2013-01-012013-12-31249,019,000USD2016-02-2910-K · 0000922864-16-000078
2012-01-012012-12-31179,016,000USD2015-02-2710-K · 0000922864-15-000011
2011-01-012011-12-31135,291,000USD2014-02-2110-K · 0000922864-14-000008
2010-01-012010-12-31102,583,000USD2013-02-2510-K · 0000922864-13-000013
2009-01-012009-12-3182,402,000USD2012-02-2310-K · 0001193125-12-074623
2008-01-012008-12-3142,315,000USD2011-02-2510-K · 0000950123-11-018075

Related financial histories

Inspect the source

Entity
Apartment Investment and Management Company / CIK 0000922864
Captured
2026-09-20T05:08:14.962Z
SEC response SHA-256
0a193c68ea57a4624f8ce73f639818378a5ed7bb2d791f4a9a54176e449aa8ac

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/0000922864.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"])))