TCW DIRECT LENDING VII LLC: financing cash flow
Financing cash flow for TCW DIRECT LENDING VII LLC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All TCW DIRECT LENDING VII LLC financial histories
What this measure means
Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.
Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2020-01-01 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 | -136,858,000 | USD | 2026-04-03 | 10-K · 0001193125-26-141887 |
| 2024-01-01 | 2024-12-31 | -57,654,000 | USD | 2026-04-03 | 10-K · 0001193125-26-141887 |
| 2023-01-01 | 2023-12-31 | -271,490,000 | USD | 2026-04-03 | 10-K · 0001193125-26-141887 |
| 2022-01-01 | 2022-12-31 | -484,283,000 | USD | 2025-03-27 | 10-K · 0000950170-25-045556 |
| 2021-01-01 | 2021-12-31 | -36,567,000 | USD | 2024-04-01 | 10-K · 0000950170-24-039058 |
| 2020-01-01 | 2020-12-31 | -229,524,000 | USD | 2023-03-28 | 10-K · 0000950170-23-010240 |
Related financial histories
- TCW DIRECT LENDING VII LLC: total assets
- TCW DIRECT LENDING VII LLC: total liabilities
- TCW DIRECT LENDING VII LLC: cash and cash equivalents
- TCW DIRECT LENDING VII LLC: net income or loss
- TCW DIRECT LENDING VII LLC: operating cash flow
- TCW DIRECT LENDING VII LLC: retained earnings or deficit
- TCW DIRECT LENDING VII LLC: basic earnings per share
- TCW DIRECT LENDING VII LLC: diluted earnings per share
- TCW DIRECT LENDING VII LLC: operating expenses
Inspect the source
- Entity
- TCW DIRECT LENDING VII LLC / CIK 0001715933
- Captured
- 2026-09-21T17:19:21.130Z
- SEC response SHA-256
26e3c39fe6b1ca3d258d4426e8998fcd57e120bbb1bebee423ab80a61e8c58c2
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001715933.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"])))