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PAPA JOHN’S INTERNATIONAL, INC.: retained earnings or deficit

Retained earnings or deficit for PAPA JOHN’S INTERNATIONAL, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PAPA JOHN’S INTERNATIONAL, INC. financial histories

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-12-28 to 2025-12-28. The SEC response was captured on 2026-09-20.

Selected filing history

Retained earnings or deficit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-28210,763,000USD2026-02-2610-K · 0001628280-26-011965
At date2024-12-29241,717,000USD2026-02-2610-K · 0001628280-26-011965
At date2023-12-31219,027,000USD2025-02-2710-K · 0001628280-25-008427
At date2022-12-25195,856,000USD2024-02-2910-K · 0001628280-24-007791
At date2021-12-26183,157,000USD2023-02-2310-K · 0001628280-23-004682
At date2020-12-27219,158,000USD2022-02-2410-K · 0001558370-22-001836
At date2019-12-29205,697,000USD2021-02-2510-K · 0001558370-21-001725
At date2018-12-30242,182,000USD2020-02-2610-K · 0001558370-20-001393
At date2018-01-02270,724,000USD2019-05-0710-K/A · 0001558370-19-004247
At date2017-12-31292,251,000USD2019-05-0710-K/A · 0001558370-19-004247
At date2016-12-25219,278,000USD2018-02-2710-K · 0001558370-18-001176
At date2015-12-27143,789,000USD2017-02-2110-K · 0001558370-17-000721
At date2014-12-2892,876,000USD2016-02-2310-K · 0001104659-16-099249
At date2013-12-2941,297,000USD2015-02-2410-K · 0001104659-15-013526
At date2012-12-30356,461,000USD2014-02-2510-K · 0001104659-14-013226
At date2011-12-25298,807,000USD2012-02-2110-K · 0001157523-12-000927
At date2010-12-26243,152,000USD2012-02-2110-K · 0001157523-12-000927
At date2009-12-27191,212,000USD2011-02-2210-K · 0001157523-11-001056
At date2008-12-28133,759,000USD2010-02-2310-K · 0001104659-10-008891

Related financial histories

Inspect the source

Entity
PAPA JOHN’S INTERNATIONAL, INC. / CIK 0000901491
Captured
2026-09-20T05:05:15.358Z
SEC response SHA-256
6f5ac46aeb5e190ef9bf6df143d0731a883f04727f9d651bd9573cc98c81453d

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/0000901491.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"])))