iShares Commodity Optimized Trust: financial reference
Explore iShares Commodity Optimized Trust financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.
Filing record ends 2018-02-28
The latest filing in this captured record is a 10-K filed 2018-02-28. No later filing is in the SEC companyfacts record captured on 2026-09-23. iShares Commodity Optimized Trust may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.
Reported financial histories
Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.
| Measure | Period start | Period end | Value | Unit | Filed |
|---|---|---|---|---|---|
| Stockholders equity | - | 2014-12-31 | 14,787,750 | USD | 2015-02-27 |
| Cash and cash equivalents | - | 2017-12-31 | 501,228 | USD | 2018-02-28 |
| Net income or loss | 2017-01-01 | 2017-12-31 | 93,765 | USD | 2018-02-28 |
| Operating cash flow | 2017-01-01 | 2017-12-31 | 5,985,946 | USD | 2018-02-28 |
| Revenue | 2017-01-01 | 2017-12-31 | 160,008 | USD | 2018-02-28 |
| Financing cash flow | 2017-01-01 | 2017-12-31 | -7,029,463 | USD | 2018-02-28 |
| Basic earnings per share | 2017-01-01 | 2017-12-31 | 0.16 | USD/shares | 2018-02-28 |
| Operating income or loss | 2017-01-01 | 2017-12-31 | -27,008 | USD | 2018-02-28 |
Filings
13 iShares Commodity Optimized Trust filings with published measures: what each annual or quarterly report tagged, with the periods it covered, as reported in that filing. The histories above show the latest-filed value per period.
Inspect the source
- Entity
- iShares Commodity Optimized Trust / CIK 0001535365
- Captured
- SEC response SHA-256
5af186af54ec14ba6b884269de9260acb4ee56500d8a876ae3e8c5ce17899b29
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.
- Get an API key and run your first validation
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- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001535365.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"])))