SES AI Corporation: basic earnings per share
Basic earnings per share for SES AI Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All SES AI Corporation financial histories
What this measure means
Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.
Exact concept: us-gaap:EarningsPerShareBasic. 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.
Reading these values
This selected numerical history matches Diluted earnings per share for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | -0.22 | USD/shares | 2026-03-04 | 10-K · 0001819142-26-000010 |
| 2024-01-01 | 2024-12-31 | -0.31 | USD/shares | 2026-03-04 | 10-K · 0001819142-26-000010 |
| 2023-01-01 | 2023-12-31 | -0.17 | USD/shares | 2025-02-28 | 10-K · 0001819142-25-000017 |
| 2022-01-01 | 2022-12-31 | -0.18 | USD/shares | 2024-02-27 | 10-K · 0001819142-24-000014 |
| 2021-01-01 | 2021-12-31 | -0.51 | USD/shares | 2024-02-27 | 10-K · 0001819142-24-000014 |
| 2020-01-01 | 2020-12-31 | -0.23 | USD/shares | 2023-03-16 | 10-K · 0001819142-23-000030 |
Related financial histories
- SES AI Corporation: total assets
- SES AI Corporation: total liabilities
- SES AI Corporation: stockholders equity
- SES AI Corporation: cash and cash equivalents
- SES AI Corporation: net income or loss
- SES AI Corporation: operating cash flow
- SES AI Corporation: capital expenditure payments
- SES AI Corporation: financing cash flow
- SES AI Corporation: investing cash flow
- SES AI Corporation: retained earnings or deficit
- SES AI Corporation: basic weighted-average shares
- SES AI Corporation: diluted weighted-average shares
- SES AI Corporation: diluted earnings per share
- SES AI Corporation: income tax expense or benefit
- SES AI Corporation: net property, plant and equipment
- SES AI Corporation: share-based compensation expense
- SES AI Corporation: operating income or loss
- SES AI Corporation: current assets
- SES AI Corporation: current liabilities
- SES AI Corporation: current accounts payable
- SES AI Corporation: net finite-lived intangible assets
- SES AI Corporation: operating expenses
- SES AI Corporation: net inventory
- SES AI Corporation: research and development expense
Inspect the source
- Entity
- SES AI Corporation / CIK 0001819142
- Captured
- 2026-09-21T17:34:37.027Z
- SEC response SHA-256
4260763d3b7621c1177b59c43d5db8739f52407eb82ec9096947a2d707eafe9b
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
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001819142.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"])))