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Apollo Commercial Real Estate Finance, Inc.: financing cash flow

Financing cash flow for Apollo Commercial Real Estate Finance, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Apollo Commercial Real Estate Finance, Inc. financial histories

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-311,064,968,000USD2026-02-1010-K · 0001193125-26-044725
2024-01-012024-12-31-689,308,000USD2026-02-1010-K · 0001193125-26-044725
2023-01-012023-12-31-343,360,000USD2026-02-1010-K · 0001193125-26-044725
2022-01-012022-12-31957,974,000USD2025-02-1010-K · 0000950170-25-017122
2021-01-012021-12-311,175,187,000USD2024-02-0610-K · 0001467760-24-000010
2020-01-012020-12-31-75,116,000USD2023-02-0810-K · 0001467760-23-000004
2019-01-012019-12-311,504,153,000USD2022-02-0810-K · 0001467760-22-000007
2018-01-012018-12-31765,093,000USD2021-02-1010-K · 0001467760-21-000008
2017-01-012017-12-31380,059,000USD2020-02-1310-K · 0001467760-20-000004
2016-01-012016-12-31-1,024,504,000USD2019-02-1310-K · 0001467760-19-000005
2015-01-012015-12-31729,528,000USD2018-02-1410-K · 0001467760-18-000003
2014-01-012014-12-31840,196,000USD2017-02-2810-K · 0001628280-17-001915
2013-01-012013-12-3131,313,000USD2016-02-2610-K · 0001467760-16-000015
2012-01-012012-12-31-145,986,000USD2015-02-2610-K · 0001467760-15-000003
2011-01-012011-12-319,096,000USD2014-02-2710-K · 0001445305-14-000674
2010-01-012010-12-31498,922,000USD2013-03-0110-K · 0001193125-13-087806

Related financial histories

Inspect the source

Entity
Apollo Commercial Real Estate Finance, Inc. / CIK 0001467760
Captured
2026-09-20T09:06:57.887Z
SEC response SHA-256
9c06876df7ebe00dcdffe35749937a2800780cb8df2c7ec296503083b6d1c136

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/0001467760.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"])))