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CHERRY HILL MORTGAGE INVESTMENT CORPORATION: operating cash flow

Operating cash flow for CHERRY HILL MORTGAGE INVESTMENT CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CHERRY HILL MORTGAGE INVESTMENT CORPORATION financial histories

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 2013-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Operating cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3119,097,000USD2026-03-0510-K · 0001140361-26-008094
2024-01-012024-12-31-4,691,000USD2026-03-0510-K · 0001140361-26-008094
2023-01-012023-12-3140,659,000USD2026-03-0510-K · 0001140361-26-008094
2022-01-012022-12-3159,913,000USD2025-03-0610-K · 0001140361-25-007454
2021-01-012021-12-3148,007,000USD2024-03-0710-K · 0001140361-24-011952
2020-01-012020-12-3162,385,000USD2023-03-0710-K · 0001140361-23-010492
2019-01-012019-12-3171,873,000USD2022-03-1510-K · 0001140361-22-009584
2018-01-012018-12-3161,952,000USD2021-03-1210-K · 0001140361-21-008318
2017-01-012017-12-3143,815,000USD2020-02-2710-K · 0001140361-20-004262
2016-01-012016-12-3134,465,000USD2019-03-1810-K · 0001140361-19-005137
2015-01-012015-12-3123,375,000USD2018-03-1610-K · 0001140361-18-013724
2013-01-012013-12-31-6,080,000USD2014-03-2610-K · 0001193125-14-116862

Related financial histories

Inspect the source

Entity
CHERRY HILL MORTGAGE INVESTMENT CORPORATION / CIK 0001571776
Captured
2026-09-20T09:21:21.945Z
SEC response SHA-256
6f7252143d5b01c8b495787d857304c2b8bc9d61d8521d62d3bf221a4a51c1cf

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/0001571776.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"])))