La Rosa Holdings Corp.: interest expense
Interest expense for La Rosa Holdings Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All La Rosa Holdings Corp. financial histories
What this measure means
Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.
Exact concept: us-gaap:InterestExpense. 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 2022-01-01 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 | 403,397 | USD | 2025-04-15 | 10-K · 0001213900-25-032211 |
| 2023-01-01 | 2023-12-31 | 140,382 | USD | 2025-04-15 | 10-K · 0001213900-25-032211 |
| 2022-01-01 | 2022-12-31 | 144,268 | USD | 2024-04-16 | 10-K · 0001213900-24-033444 |
Related financial histories
- La Rosa Holdings Corp.: total assets
- La Rosa Holdings Corp.: total liabilities
- La Rosa Holdings Corp.: stockholders equity
- La Rosa Holdings Corp.: cash and cash equivalents
- La Rosa Holdings Corp.: net income or loss
- La Rosa Holdings Corp.: operating cash flow
- La Rosa Holdings Corp.: revenue
- La Rosa Holdings Corp.: financing cash flow
- La Rosa Holdings Corp.: retained earnings or deficit
- La Rosa Holdings Corp.: basic weighted-average shares
- La Rosa Holdings Corp.: diluted weighted-average shares
- La Rosa Holdings Corp.: basic earnings per share
- La Rosa Holdings Corp.: diluted earnings per share
- La Rosa Holdings Corp.: net property, plant and equipment
- La Rosa Holdings Corp.: share-based compensation expense
- La Rosa Holdings Corp.: operating income or loss
- La Rosa Holdings Corp.: current assets
- La Rosa Holdings Corp.: current liabilities
- La Rosa Holdings Corp.: current accounts payable
- La Rosa Holdings Corp.: goodwill carrying amount
- La Rosa Holdings Corp.: net finite-lived intangible assets
- La Rosa Holdings Corp.: net current accounts receivable
- La Rosa Holdings Corp.: operating expenses
- La Rosa Holdings Corp.: gross profit
- La Rosa Holdings Corp.: cost of revenue
Inspect the source
- Entity
- La Rosa Holdings Corp. / CIK 0001879403
- Captured
- 2026-09-21T17:40:13.071Z
- SEC response SHA-256
ab13157417b70e33dc2b49454759355cafa0897d2c8a0e68c4c94abed34131bf
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/0001879403.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"])))