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TuHURA BIOSCIENCES, INC./NV: operating expenses

Operating expenses for TuHURA BIOSCIENCES, INC./NV. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All TuHURA BIOSCIENCES, INC./NV financial histories

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2010-07-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Operating expenses in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3131,795,939USD2026-03-3110-K · 0001193125-26-134950
2024-01-012024-12-3117,649,492USD2026-03-3110-K · 0001193125-26-134950
2023-07-012024-06-308,451,000USD2024-10-0710-K · 0000950170-24-113321
2023-01-012023-12-3129,764,720USD2025-03-3110-K · 0000950170-25-047921
2022-07-012023-06-3014,796,000USD2024-10-0710-K · 0000950170-24-113321
2021-07-012022-06-3022,682,000USD2023-09-1810-K · 0000950170-23-048588
2020-07-012021-06-3038,166,000USD2022-09-2710-K · 0000950170-22-018865
2019-07-012020-06-30-9,198,000USD2021-09-2810-K · 0001564590-21-049235
2018-07-012019-06-308,398,496USD2020-09-1810-K · 0001564590-20-044019
2017-07-012018-06-30-11,174,663USD2019-09-0910-K · 0001213900-19-017497
2016-07-012017-06-30-8,320,829USD2018-09-2410-K · 0001213900-18-012876
2015-07-012016-06-306,214,018USD2017-09-2710-K · 0001213900-17-010055
2014-07-012015-06-304,724,653USD2016-09-1310-K · 0001213900-16-016715
2013-07-012014-06-30-5,253,626USD2015-11-1610-K · 0001013762-15-001103
2013-01-012013-12-316,294,961USD2014-08-2810-K · 0001013762-14-001054
2012-01-012012-12-312,705,094USD2014-08-2810-K · 0001013762-14-001054
2011-07-012012-06-3018,885USD2012-12-2010-K/A · 0001165527-12-001331
2011-01-012011-12-311,292,941USD2014-03-1010-K · 0001013762-14-000210
2010-07-012011-06-3033,136USD2012-12-2010-K/A · 0001165527-12-001331

Related financial histories

Inspect the source

Entity
TuHURA BIOSCIENCES, INC./NV / CIK 0001498382
Captured
2026-09-20T09:11:11.339Z
SEC response SHA-256
cbfb2cda3307f7af300be1fc56e9d85ca5186f16e46a189d675574c95ee74f5c

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/0001498382.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"])))