ARES STRATEGIC INCOME FUND: net income or loss
Net income or loss for ARES STRATEGIC INCOME FUND. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ARES STRATEGIC INCOME FUND 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 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 781,638,000 | USD | 2026-03-09 | 10-K · 0001918712-26-000018 |
| 2024-01-01 | 2024-12-31 | 406,116,000 | USD | 2026-03-09 | 10-K · 0001918712-26-000018 |
| 2023-01-01 | 2023-12-31 | 94,039,000 | USD | 2026-03-09 | 10-K · 0001918712-26-000018 |
Related financial histories
- ARES STRATEGIC INCOME FUND: total assets
- ARES STRATEGIC INCOME FUND: total liabilities
- ARES STRATEGIC INCOME FUND: stockholders equity
- ARES STRATEGIC INCOME FUND: cash and cash equivalents
- ARES STRATEGIC INCOME FUND: operating cash flow
- ARES STRATEGIC INCOME FUND: financing cash flow
- ARES STRATEGIC INCOME FUND: retained earnings or deficit
- ARES STRATEGIC INCOME FUND: income tax expense or benefit
- ARES STRATEGIC INCOME FUND: interest expense
- ARES STRATEGIC INCOME FUND: common-stock repurchase payments
Inspect the source
- Entity
- ARES STRATEGIC INCOME FUND / CIK 0001918712
- Captured
- 2026-09-21T17:24:03.648Z
- SEC response SHA-256
6dace2ecefa989c9f0e49c897c85a8185a1b5672ab55bf886358e529ed4100ce
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
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- 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/0001918712.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"])))