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OCEAN THERMAL ENERGY CORPORATION: interest expense

Interest expense for OCEAN THERMAL ENERGY CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All OCEAN THERMAL ENERGY CORPORATION financial histories

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Interest expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-312,872,050USD2026-03-2410-K · 0001654954-26-002627
2024-01-012024-12-312,504,722USD2026-03-2410-K · 0001654954-26-002627
2023-01-012023-12-312,278,347USD2025-10-2710-K · 0001654954-25-012217
2022-01-012022-12-311,815,800USD2024-03-2810-K · 0001654954-24-003883
2021-01-012021-12-311,745,194USD2023-09-0510-K · 0001654954-23-011543
2020-01-012020-12-311,428,710USD2022-03-3010-K · 0001654954-22-004084
2019-01-012019-12-312,348,923USD2021-03-3010-K · 0001654954-21-003485
2018-01-012018-12-311,281,134USD2020-03-2010-K · 0001654954-20-002880
2017-01-012017-12-31614,749USD2019-03-2210-K · 0001654954-19-003067
2016-01-012016-12-312,678,415USD2018-04-0210-K · 0001654954-18-003464
2015-01-012015-12-31111,774USD2017-04-0410-K · 0001683168-17-000784
2014-01-012014-12-3151,110USD2016-03-3010-K · 0001038838-16-000224
2013-01-012013-12-3166,252USD2015-08-3110-K · 0001038838-15-000145
2012-01-012012-12-3197,272USD2015-08-3110-K · 0001038838-15-000141
2011-01-012011-12-3185,041USD2015-08-3110-K · 0001038838-15-000137
2010-01-012010-12-3163,046USD2012-03-2910-K · 0001038838-12-000085

Related financial histories

Inspect the source

Entity
OCEAN THERMAL ENERGY CORPORATION / CIK 0000827099
Captured
2026-09-19T15:07:59.853Z
SEC response SHA-256
665c68241b9bf6fa5ac31f42395340c93a4b0db62fbbb7d724ec26e635a5cceb

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/0000827099.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"])))