Shopify Inc.: interest expense
Interest expense for Shopify Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Shopify Inc. 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 2019-01-01 to 2022-12-31. 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
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2022-01-01 | 2022-12-31 | 3,499,000 | USD | 2023-02-16 | 40-F · 0001594805-23-000011 |
| 2021-01-01 | 2021-12-31 | 3,493,000 | USD | 2023-02-16 | 40-F · 0001594805-23-000011 |
| 2020-01-01 | 2020-12-31 | 9,085,000 | USD | 2022-02-16 | 40-F · 0001594805-22-000011 |
| 2019-01-01 | 2019-12-31 | 0 | USD | 2021-02-17 | 40-F · 0001594805-21-000008 |
Related financial histories
- Shopify Inc.: total assets
- Shopify Inc.: stockholders equity
- Shopify Inc.: cash and cash equivalents
- Shopify Inc.: net income or loss
- Shopify Inc.: operating cash flow
- Shopify Inc.: capital expenditure payments
- Shopify Inc.: revenue
- Shopify Inc.: contract revenue excluding tax
- Shopify Inc.: financing cash flow
- Shopify Inc.: investing cash flow
- Shopify Inc.: retained earnings or deficit
- Shopify Inc.: basic weighted-average shares
- Shopify Inc.: diluted weighted-average shares
- Shopify Inc.: basic earnings per share
- Shopify Inc.: diluted earnings per share
- Shopify Inc.: income tax expense or benefit
- Shopify Inc.: net property, plant and equipment
- Shopify Inc.: operating income or loss
- Shopify Inc.: current assets
- Shopify Inc.: current liabilities
- Shopify Inc.: goodwill carrying amount
- Shopify Inc.: net finite-lived intangible assets
- Shopify Inc.: operating expenses
- Shopify Inc.: net inventory
- Shopify Inc.: gross profit
- Shopify Inc.: research and development expense
Inspect the source
- Entity
- Shopify Inc. / CIK 0001594805
- Captured
- 2026-09-20T09:24:30.917Z
- SEC response SHA-256
6015c8703f4aaa9dfa8b13e2717e015862616ee9afa7aaf87348563c0ed74a52
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/0001594805.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"])))