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ORMAT TECHNOLOGIES, INC.: income tax expense or benefit

Income tax expense or benefit for ORMAT TECHNOLOGIES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ORMAT TECHNOLOGIES, INC. financial histories

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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-20,282,000USD2026-02-2610-K · 0001296445-26-000006
2024-01-012024-12-31-16,289,000USD2026-02-2610-K · 0001296445-26-000006
2023-01-012023-12-315,983,000USD2026-02-2610-K · 0001296445-26-000006
2022-01-012022-12-3114,742,000USD2025-02-2710-K · 0001628280-25-008531
2021-01-012021-12-3124,850,000USD2024-02-2310-K · 0001437749-24-005322
2020-01-012020-12-3167,003,000USD2023-02-2410-K · 0001437749-23-004477
2019-01-012019-12-3145,613,000USD2022-02-2510-K · 0001437749-22-004440
2018-01-012018-12-3134,733,000USD2021-02-2610-K · 0001437749-21-004274
2017-01-012017-12-3121,664,000USD2020-03-0210-K · 0001437749-20-004072
2016-01-012016-12-3137,059,000USD2019-03-0110-K · 0001437749-19-003760
2015-01-012015-12-31-16,057,000USD2018-06-1910-K/A · 0001437749-18-012086
2014-01-012014-12-3127,608,000USD2017-03-0110-K · 0001437749-17-003516
2013-01-012013-12-3113,552,000USD2016-02-2610-K · 0001437749-16-026139
2012-01-012012-12-311,827,000USD2015-02-2610-K · 0001437749-15-003544
2011-01-012011-12-3148,240,000USD2014-02-2810-K · 0001437749-14-003113
2010-01-012010-12-31-1,098,000USD2013-03-1110-K · 0001193125-13-100991
2009-01-012009-12-3115,430,000USD2012-02-2910-K · 0001193125-12-089532
2008-01-012008-12-315,310,000USD2011-02-2810-K · 0000950123-11-019926

Related financial histories

Inspect the source

Entity
ORMAT TECHNOLOGIES, INC. / CIK 0001296445
Captured
2026-09-20T07:50:22.600Z
SEC response SHA-256
a5a986b9a27a198bfa127af88a402cd05cfa10d1d66e7b7a56ce697bea6ff4ed

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001296445.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"])))