MID-AMERICA APARTMENT COMMUNITIES, INC.: operating cash flow

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• MID-AMERICA APARTMENT COMMUNITIES, INC.: total assets
• MID-AMERICA APARTMENT COMMUNITIES, INC.: total liabilities
• MID-AMERICA APARTMENT COMMUNITIES, INC.: stockholders equity
• MID-AMERICA APARTMENT COMMUNITIES, INC.: cash and cash equivalents
• MID-AMERICA APARTMENT COMMUNITIES, INC.: net income or loss
• MID-AMERICA APARTMENT COMMUNITIES, INC.: revenue
• MID-AMERICA APARTMENT COMMUNITIES, INC.: financing cash flow
• MID-AMERICA APARTMENT COMMUNITIES, INC.: investing cash flow
• MID-AMERICA APARTMENT COMMUNITIES, INC.: basic weighted-average shares
• MID-AMERICA APARTMENT COMMUNITIES, INC.: diluted weighted-average shares
• MID-AMERICA APARTMENT COMMUNITIES, INC.: basic earnings per share
• MID-AMERICA APARTMENT COMMUNITIES, INC.: diluted earnings per share
• MID-AMERICA APARTMENT COMMUNITIES, INC.: income tax expense or benefit
• MID-AMERICA APARTMENT COMMUNITIES, INC.: share-based compensation expense
• MID-AMERICA APARTMENT COMMUNITIES, INC.: operating income or loss
• MID-AMERICA APARTMENT COMMUNITIES, INC.: interest expense
• MID-AMERICA APARTMENT COMMUNITIES, INC.: common-stock repurchase payments
• MID-AMERICA APARTMENT COMMUNITIES, INC.: operating expenses

Inspect the source

Entity

MID-AMERICA APARTMENT COMMUNITIES, INC. / CIK 0000912595

Captured

2026-09-20T05:06:33.315Z

SEC response SHA-256

057e68283656c64efa2a38b97bde0ace0367fc9586b099086317c21b4b318477

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000912595.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"])))