ATEL 17, LLC: interest paid, net
Interest paid, net for ATEL 17, LLC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ATEL 17, LLC financial histories
What this measure means
Cash interest paid during the period, net of amounts capitalized where the filer reports it that way. It differs from interest expense recognized.
Exact concept: us-gaap:InterestPaidNet. 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 2018-01-01 to 2024-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-01-01 | 2024-12-31 | 20,000 | USD | 2025-03-19 | 10-K · 0001558370-25-003285 |
| 2023-01-01 | 2023-12-31 | 39,000 | USD | 2025-03-19 | 10-K · 0001558370-25-003285 |
| 2022-01-01 | 2022-12-31 | 61,000 | USD | 2024-03-21 | 10-K · 0001558370-24-003651 |
| 2021-01-01 | 2021-12-31 | 85,000 | USD | 2023-03-15 | 10-K · 0001558370-23-003765 |
| 2020-01-01 | 2020-12-31 | 124,000 | USD | 2022-03-18 | 10-K · 0001558370-22-003904 |
| 2019-01-01 | 2019-12-31 | 156,000 | USD | 2021-03-30 | 10-K · 0001558370-21-003670 |
| 2018-01-01 | 2018-12-31 | 19,000 | USD | 2020-03-26 | 10-K · 0001558370-20-003165 |
Related financial histories
- ATEL 17, LLC: total assets
- ATEL 17, LLC: total liabilities
- ATEL 17, LLC: cash and cash equivalents
- ATEL 17, LLC: net income or loss
- ATEL 17, LLC: operating cash flow
- ATEL 17, LLC: revenue
- ATEL 17, LLC: financing cash flow
- ATEL 17, LLC: investing cash flow
- ATEL 17, LLC: operating income or loss
- ATEL 17, LLC: cash including restricted cash
- ATEL 17, LLC: profit or loss including noncontrolling interests
- ATEL 17, LLC: depreciation expense
- ATEL 17, LLC: other nonoperating income or expense
- ATEL 17, LLC: change in accounts receivable
Inspect the source
- Entity
- ATEL 17, LLC / CIK 0001640982
- Captured
- 2026-09-21T17:18:49.981Z
- SEC response SHA-256
b852aaa43fd8229791d2f1d0016af6252bce6821febf1b08ab730719a681889f
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/0001640982.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"])))