Parsons Corporation: retained earnings or deficit
Parsons retained earnings or deficit: $661.2 million at 2025-12-31, up 54.9% on the year. 8 values since 2018 from SEC filings, each linked to its filing.
All Parsons Corporation financial histories
At a glance
Parsons reported retained earnings or deficit of $661.2 million at 2025-12-31, up 54.9% from $426.8 million a year earlier. Across the last five reported years it ranged from -$53.5 million (2021-12-31) to $661.2 million (2025-12-31). That was 11.5% of total assets ($5.77 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 2018-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 661,173,000 | USD | 2026-02-11 | 10-K · 0001193125-26-045495 SEC |
| - | 2024-12-31 | 426,781,000 | USD | 2026-02-11 | 10-K · 0001193125-26-045495 SEC |
| - | 2023-12-31 | 203,724,000 | USD | 2025-02-19 | 10-K · 0000950170-25-022754 SEC |
| - | 2022-12-31 | 43,089,000 | USD | 2024-02-14 | 10-K · 0000950170-24-014927 SEC |
| - | 2021-12-31 | -53,529,000 | USD | 2023-02-17 | 10-K · 0001564590-23-002040 SEC |
| - | 2020-12-31 | -120,569,000 | USD | 2022-02-23 | 10-K · 0001564590-22-006026 SEC |
| - | 2019-12-31 | -218,025,000 | USD | 2021-02-24 | 10-K · 0001564590-21-007800 SEC |
| - | 2018-12-31 | 12,445,000 | USD | 2020-03-10 | 10-K · 0001564590-20-009791 SEC |
Related Parsons Corporation histories
Inspect the source
- Entity
- Parsons Corporation / CIK 0000275880
- Captured
- SEC response SHA-256
647c7b85c1f72c856f6ff2c920d1fdbc2cba6b733ae1dbbd2f49de7195b926d6
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.
- Get an API key and run your first validation
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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/0000275880.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"])))