SYRA HEALTH CORP.: interest expense
Interest expense for SYRA HEALTH CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All SYRA HEALTH 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 | 15,600 | USD | 2025-03-11 | 10-K · 0001493152-25-009873 |
| 2023-01-01 | 2023-12-31 | 53,686 | USD | 2025-03-11 | 10-K · 0001493152-25-009873 |
| 2022-01-01 | 2022-12-31 | 28,533 | USD | 2024-03-25 | 10-K · 0001493152-24-011121 |
Related financial histories
- SYRA HEALTH CORP.: total assets
- SYRA HEALTH CORP.: total liabilities
- SYRA HEALTH CORP.: stockholders equity
- SYRA HEALTH CORP.: cash and cash equivalents
- SYRA HEALTH CORP.: net income or loss
- SYRA HEALTH CORP.: operating cash flow
- SYRA HEALTH CORP.: capital expenditure payments
- SYRA HEALTH CORP.: revenue
- SYRA HEALTH CORP.: contract revenue excluding tax
- SYRA HEALTH CORP.: financing cash flow
- SYRA HEALTH CORP.: investing cash flow
- SYRA HEALTH CORP.: retained earnings or deficit
- SYRA HEALTH CORP.: basic weighted-average shares
- SYRA HEALTH CORP.: diluted weighted-average shares
- SYRA HEALTH CORP.: basic earnings per share
- SYRA HEALTH CORP.: diluted earnings per share
- SYRA HEALTH CORP.: net property, plant and equipment
- SYRA HEALTH CORP.: share-based compensation expense
- SYRA HEALTH CORP.: operating income or loss
- SYRA HEALTH CORP.: current assets
- SYRA HEALTH CORP.: current liabilities
- SYRA HEALTH CORP.: operating expenses
- SYRA HEALTH CORP.: gross profit
- SYRA HEALTH CORP.: selling, general and administrative expense
- SYRA HEALTH CORP.: research and development expense
Inspect the source
- Entity
- SYRA HEALTH CORP. / CIK 0001922335
- Captured
- 2026-09-21T17:41:11.939Z
- SEC response SHA-256
b7deb50e336dc97b3dc95be11b8ad17619851faa670b1bd5b706682829760083
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/0001922335.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"])))