Dollar General Corp: retained earnings or deficit
Dollar General retained earnings or deficit: $4.40 billion at 2026-01-30, up 29.2% on the year. 16 values since 2011 from SEC filings. In original units.
All Dollar General Corp financial histories
At a glance
Dollar General reported retained earnings or deficit of $4.40 billion at 2026-01-30, up 29.2% from $3.41 billion a year earlier. From 2011 to 2026 it grew at a compound 11.7% a year, from $830.9 million to $4.40 billion. Across the last five reported years it ranged from $1.66 billion (2023-02-03) to $4.40 billion (2026-01-30). That was 14.2% of total assets ($31.0 billion) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
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 2011-01-28 to 2026-01-30. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2026-01-30 | 4,398,466,000 | USD | 2026-03-20 | 10-K · 0001104659-26-032325 SEC |
| - | 2025-01-31 | 3,405,683,000 | USD | 2026-03-20 | 10-K · 0001104659-26-032325 SEC |
| - | 2024-02-02 | 2,799,415,000 | USD | 2025-03-21 | 10-K · 0001558370-25-003413 SEC |
| - | 2023-02-03 | 1,656,140,000 | USD | 2024-03-25 | 10-K · 0001558370-24-003813 SEC |
| - | 2022-01-28 | 2,473,999,000 | USD | 2023-03-24 | 10-K · 0001558370-23-004574 SEC |
| - | 2021-01-29 | 3,006,102,000 | USD | 2022-03-18 | 10-K · 0001558370-22-003921 SEC |
| - | 2020-01-31 | 3,162,660,000 | USD | 2021-03-19 | 10-K · 0001558370-21-003245 SEC |
| - | 2019-02-01 | 2,941,107,000 | USD | 2020-03-19 | 10-K · 0001558370-20-002915 SEC |
| - | 2018-02-02 | 2,698,352,000 | USD | 2019-03-22 | 10-K · 0001558370-19-002383 SEC |
| - | 2017-02-03 | 2,015,867,000 | USD | 2018-03-23 | 10-K · 0001558370-18-002366 SEC |
| - | 2016-01-29 | 2,025,545,000 | USD | 2017-03-24 | 10-K · 0001558370-17-002116 SEC |
| - | 2015-01-30 | 2,403,045,000 | USD | 2016-03-22 | 10-K · 0001047469-16-011420 SEC |
| - | 2014-01-31 | 2,125,453,000 | USD | 2015-03-20 | 10-K · 0001047469-15-002540 SEC |
| - | 2013-02-01 | 1,710,732,000 | USD | 2014-03-20 | 10-K · 0001047469-14-002721 SEC |
| - | 2012-02-03 | 1,416,918,000 | USD | 2013-03-25 | 10-K · 0001047469-13-003283 SEC |
| - | 2011-01-28 | 830,932,000 | USD | 2012-03-22 | 10-K · 0001047469-12-003084 SEC |
Related DOLLAR GENERAL CORP histories
Inspect the source
- Entity
- DOLLAR GENERAL CORP / CIK 0000029534
- Captured
- SEC response SHA-256
16157a14c6c91f04a8b3e89ccedfc91ee0d5ea6978f8c6ed1d25d8cfe73541cf
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.
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- Read the MCP server source and integration examples
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000029534.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"])))