LSB Industries, Inc.: operating income or loss
LSB Industries operating income or loss: $57.3 million for the year ending 2025-12-31, up 1140.4% on the year. 17 values since 2009. In original units.
All LSB Industries, Inc. financial histories
At a glance
LSB Industries reported operating income or loss of $57.3 million for the year ending 2025-12-31, up 1140.4% from -$5.50 million a year earlier. Across the last five reported years it ranged from -$5.50 million (2024-12-31) to $308.4 million (2022-12-31). That was 9.3% of revenue ($615.2 million) for the same year.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.
Exact concept: us-gaap:OperatingIncomeLoss. 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 2009-01-01 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 |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 57,274,000 | USD | 2026-02-26 | 10-K · 0001193125-26-076810 SEC |
| 2024-01-01 | 2024-12-31 | -5,505,000 | USD | 2026-02-26 | 10-K · 0001193125-26-076810 SEC |
| 2023-01-01 | 2023-12-31 | 51,777,000 | USD | 2026-02-26 | 10-K · 0001193125-26-076810 SEC |
| 2022-01-01 | 2022-12-31 | 308,378,000 | USD | 2025-02-27 | 10-K · 0000950170-25-029046 SEC |
| 2021-01-01 | 2021-12-31 | 101,048,000 | USD | 2024-03-06 | 10-K · 0000950170-24-027144 SEC |
| 2020-01-01 | 2020-12-31 | -15,535,000 | USD | 2023-02-23 | 10-K · 0000950170-23-004101 SEC |
| 2019-01-01 | 2019-12-31 | -39,091,000 | USD | 2022-02-24 | 10-K · 0001564590-22-006694 SEC |
| 2018-01-01 | 2018-12-31 | -23,025,000 | USD | 2021-02-25 | 10-K · 0001564590-21-008804 SEC |
| 2017-01-01 | 2017-12-31 | -34,091,000 | USD | 2020-02-25 | 10-K · 0001564590-20-006380 SEC |
| 2016-01-01 | 2016-12-31 | -90,223,000 | USD | 2019-02-26 | 10-K · 0001564590-19-004486 SEC |
| 2015-01-01 | 2015-12-31 | -71,166,000 | USD | 2018-02-26 | 10-K · 0001564590-18-003240 SEC |
| 2014-01-01 | 2014-12-31 | 30,577,000 | USD | 2017-02-27 | 10-K · 0001564590-17-002567 SEC |
| 2013-01-01 | 2013-12-31 | 105,308,000 | USD | 2016-02-29 | 10-K · 0001564590-16-013735 SEC |
| 2012-01-01 | 2012-12-31 | 95,655,000 | USD | 2015-03-02 | 10-K · 0001193125-15-070433 SEC |
| 2011-01-01 | 2011-12-31 | 136,443,000 | USD | 2014-02-27 | 10-K · 0001193125-14-070134 SEC |
| 2010-01-01 | 2010-12-31 | 55,925,000 | USD | 2013-02-28 | 10-K · 0001193125-13-084410 SEC |
| 2009-01-01 | 2009-12-31 | 40,710,000 | USD | 2012-02-28 | 10-K · 0000950123-12-003694 SEC |
Related LSB Industries, Inc. histories
Inspect the source
- Entity
- LSB Industries, Inc. / CIK 0000060714
- Captured
- SEC response SHA-256
59fe060b6c8c13a97285198e72200d7233fa4ad22f6c6f86caea953b482285fb
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
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/0000060714.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"])))