Loop Industries, Inc.: interest expense

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 2016-03-01 to 2022-02-28. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• Loop Industries, Inc.: total assets
• Loop Industries, Inc.: total liabilities
• Loop Industries, Inc.: stockholders equity
• Loop Industries, Inc.: cash and cash equivalents
• Loop Industries, Inc.: net income or loss
• Loop Industries, Inc.: operating cash flow
• Loop Industries, Inc.: capital expenditure payments
• Loop Industries, Inc.: revenue
• Loop Industries, Inc.: financing cash flow
• Loop Industries, Inc.: investing cash flow
• Loop Industries, Inc.: retained earnings or deficit
• Loop Industries, Inc.: net property, plant and equipment
• Loop Industries, Inc.: share-based compensation expense
• Loop Industries, Inc.: current assets
• Loop Industries, Inc.: current liabilities
• Loop Industries, Inc.: current accounts payable
• Loop Industries, Inc.: net finite-lived intangible assets
• Loop Industries, Inc.: net current accounts receivable
• Loop Industries, Inc.: operating expenses
• Loop Industries, Inc.: net inventory
• Loop Industries, Inc.: research and development expense

Inspect the source

Entity

Loop Industries, Inc. / CIK 0001504678

Captured

2026-09-20T09:12:11.151Z

SEC response SHA-256

daa802cf6ca8aee97736cc19d60c1b62cdab52fe2e34a51a8ecdde27e63513d3

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

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001504678.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"])))