Bitwise 10 Crypto Index ETF: 10-Q filed 2025-05-12

Name: Bitwise 10 Crypto Index ETF: 10-Q filed 2025-05-12
Creator: Bitwise 10 Crypto Index ETF

What Bitwise 10 Crypto Index ETF reported in its quarterly report filed 2025-05-12 (fiscal Q1 2025): 8 published measures, 16 facts as tagged in accession 0000950170-25-068782.

This filing

Form: 10-Q (quarterly report)
Filed: 2025-05-12
Fiscal period: fiscal Q1 2025
Accession: 0000950170-25-068782 on SEC EDGAR

Values are as tagged in this filing. A later filing can restate them; each measure links to its history page, which shows the latest-filed value per period. All Bitwise 10 Crypto Index ETF filings.

Reported measures

Total assets

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Period	Value	Unit	Days
At 2025-03-31	1,112,415,608	USD
At 2024-12-31	1,368,591,334	USD

Total liabilities

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Period	Value	Unit	Days
At 2025-03-31	2,317,833	USD
At 2024-12-31	2,851,532	USD

Cash and cash equivalents

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Period	Value	Unit	Days
At 2025-03-31	859	USD
At 2024-12-31	76,507	USD

Net income or loss

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Period	Value	Unit	Days
2025-01-01 to 2025-03-31	-255,642,027	USD	90
2024-01-01 to 2024-03-31	421,884,128	USD	91

Income tax expense or benefit

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

Period	Value	Unit	Days
2025-01-01 to 2025-03-31	0	USD	90
2024-01-01 to 2024-12-31	0	USD	366

Operating expenses

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

Period	Value	Unit	Days
2025-01-01 to 2025-03-31	7,859,042	USD	90
2024-01-01 to 2024-03-31	5,878,225	USD	91

Common shares outstanding

Common shares outstanding at the reporting date. This point-in-time count differs from the weighted-average shares used for earnings per share and can exclude other share classes.

Period	Value	Unit	Days
At 2025-03-31	20,241,947	shares
At 2024-12-31	20,241,947	shares

Additional paid-in capital

Capital contributed above par value under this concept. It records historical contributions, not the current value of the equity or cash on hand.

Period	Value	Unit	Days
At 2025-03-31	427,764,344	USD
At 2024-12-31	427,764,344	USD

Inspect the source

Entity: Bitwise 10 Crypto Index ETF / CIK 0001723788
Captured: 2026-09-19T11:20:46.593Z
SEC response SHA-256: 028c0af6c9af2bf2dd5b52b74aea763db99e446f1798ace6471e1b5bf0164c84

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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.

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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/0001723788.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"])))