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PennyMac Mortgage Investment Trust: income tax expense or benefit

Income tax expense or benefit for PennyMac Mortgage Investment Trust. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PennyMac Mortgage Investment Trust financial histories

What this measure means

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

Exact concept: us-gaap:IncomeTaxExpenseBenefit. 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

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-34,054,000USD2026-02-1810-K · 0001193125-26-057041
2024-01-012024-12-31-18,336,000USD2026-02-1810-K · 0001193125-26-057041
2023-01-012023-12-3144,741,000USD2026-02-1810-K · 0001193125-26-057041
2022-01-012022-12-31136,374,000USD2025-02-2010-K · 0000950170-25-024124
2021-01-012021-12-31-12,193,000USD2024-02-2210-K · 0000950170-24-018760
2020-01-012020-12-3127,357,000USD2023-02-2410-K · 0001564590-23-002430
2019-01-012019-12-31-35,716,000USD2022-02-2510-K · 0001564590-22-007180
2018-01-012018-12-315,190,000USD2021-02-2610-K · 0001564590-21-009173
2017-01-012017-12-316,797,000USD2020-02-2110-K · 0001564590-20-005792
2016-01-012016-12-31-14,047,000USD2019-02-2610-K · 0001564590-19-004522
2015-01-012015-12-31-16,796,000USD2018-03-0110-K · 0001564590-18-004038
2014-01-012014-12-31-15,080,000USD2017-02-2810-K · 0001564590-17-002631
2013-01-012013-12-3114,445,000USD2016-02-2910-K · 0001193125-16-484507
2012-01-012012-12-3148,573,000USD2015-03-0210-K · 0001193125-15-072564
2011-01-012011-12-318,056,000USD2014-02-2810-K · 0001193125-14-077900
2010-01-012010-12-312,543,000USD2013-02-2810-K · 0001193125-13-084886

Related financial histories

Inspect the source

Entity
PennyMac Mortgage Investment Trust / CIK 0001464423
Captured
2026-09-20T09:06:37.144Z
SEC response SHA-256
f95c23e42501745f773b441b69769d76cbe2bf6475afa5955b44691cdde166f4

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/0001464423.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"])))