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Birchtech Corp.: income tax expense or benefit

Birchtech income tax expense or benefit: $70.0 thousand for the year ending 2025-12-31, up 124.2% on the year. 11 values since 2015. In original units.

All Birchtech Corp. financial histories

At a glance

Birchtech reported income tax expense or benefit of $70.0 thousand for the year ending 2025-12-31, up 124.2% from -$289.2 thousand a year earlier. Across the last five reported years it ranged from -$289.2 thousand (2024-12-31) to $473.2 thousand (2023-12-31). That was 0.4% of revenue ($17.6 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

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

Exact concept: us-gaap:IncomeTaxExpenseBenefit. 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 2015-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3170,050USD2026-03-3110-K · 0001477932-26-001835 SEC
2024-01-012024-12-31-289,156USD2026-03-3110-K · 0001477932-26-001835 SEC
2023-01-012023-12-31473,213USD2025-03-3110-K · 0001477932-25-002237 SEC
2022-01-012022-12-3118,000USD2024-04-1610-K · 0001477932-24-002170 SEC
2021-01-012021-12-3123,000USD2023-05-1510-K · 0001477932-23-003370 SEC
2020-01-012020-12-3110,000USD2022-04-0510-K · 0001477932-22-002069 SEC
2019-01-012019-12-3114,000USD2021-04-0510-K · 0001477932-21-002039 SEC
2018-01-012018-12-31-22,153USD2020-05-1410-K · 0001477932-20-002679 SEC
2017-01-012017-12-31540,422USD2019-04-1110-K · 0001477932-19-001664 SEC
2016-01-012016-12-31-472,669USD2018-04-1710-K · 0001477932-18-001894 SEC
2015-01-012015-12-3141,149USD2017-03-2810-K · 0001477932-17-001322 SEC

Related BIRCHTECH CORP. histories

All 51 Birchtech histories

Inspect the source

Entity
BIRCHTECH CORP. / CIK 0000728385
Captured
SEC response SHA-256
3c91db449851455c3c8e8e91304262abe279a41b2487f24407e98755769afa43

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.

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/0000728385.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"])))