Golub Capital Direct Lending Unlevered Corporation: operating cash flow
Operating cash flow for Golub Capital Direct Lending Unlevered Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Golub Capital Direct Lending Unlevered Corporation financial histories
What this measure means
Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.
Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2022-10-01 to 2025-09-30. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-10-01 | 2025-09-30 | -63,063,000 | USD | 2025-11-26 | 10-K · 0001901606-25-000079 |
| 2023-10-01 | 2024-09-30 | -164,588,000 | USD | 2025-11-26 | 10-K · 0001901606-25-000079 |
| 2022-10-01 | 2023-09-30 | -46,743,000 | USD | 2025-11-26 | 10-K · 0001901606-25-000079 |
Related financial histories
- Golub Capital Direct Lending Unlevered Corporation: total assets
- Golub Capital Direct Lending Unlevered Corporation: total liabilities
- Golub Capital Direct Lending Unlevered Corporation: stockholders equity
- Golub Capital Direct Lending Unlevered Corporation: net income or loss
- Golub Capital Direct Lending Unlevered Corporation: financing cash flow
- Golub Capital Direct Lending Unlevered Corporation: retained earnings or deficit
- Golub Capital Direct Lending Unlevered Corporation: basic weighted-average shares
- Golub Capital Direct Lending Unlevered Corporation: diluted weighted-average shares
- Golub Capital Direct Lending Unlevered Corporation: basic earnings per share
- Golub Capital Direct Lending Unlevered Corporation: diluted earnings per share
Inspect the source
- Entity
- Golub Capital Direct Lending Unlevered Corporation / CIK 0001901606
- Captured
- 2026-09-21T17:23:35.528Z
- SEC response SHA-256
e54e6be0ebe66c1b0309b6f5e26778290bf05caf51295568ef29bed1f995a8b6
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/0001901606.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"])))