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Amplify Commodity Trust: net income or loss

Net income or loss for Amplify Commodity Trust. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Amplify Commodity Trust financial histories

What this measure means

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

Exact concept: us-gaap:NetIncomeLoss. 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 2016-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-07-012025-06-30-17,498,770USD2025-09-2610-K · 0001213900-25-092470
2023-07-012024-06-3046,451,272USD2025-09-2610-K · 0001213900-25-092470
2022-07-012023-06-30-35,363,570USD2024-09-2710-K · 0001213900-24-082617
2021-07-012022-06-30-33,398,736USD2023-09-2710-K · 0001213900-23-079811
2020-07-012021-06-3059,341,361USD2021-09-1010-K · 0001213900-21-047450
2019-07-012020-06-305,639,080USD2021-09-1010-K · 0001213900-21-047450
2018-07-012019-06-30-3,539,079USD2020-09-2810-K · 0001213900-20-028650
2017-07-012018-06-301,880,713USD2019-09-3010-K · 0001213900-19-019334
2016-07-012017-06-30234,090USD2018-09-2810-K · 0001615774-18-010204

Related financial histories

Inspect the source

Entity
Amplify Commodity Trust / CIK 0001610940
Captured
2026-09-20T09:26:48.887Z
SEC response SHA-256
e2a91bb1006263a73a86ff09216980b48bcbd9fe259a579d24e4a875c1a9ce34

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/0001610940.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"])))