BOX INC: interest expense
Interest expense for BOX INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All BOX 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 2022-02-01 to 2026-01-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-02-01 | 2026-01-31 | 10,698,000 | USD | 2026-03-09 | 10-K · 0001193125-26-098466 |
| 2024-02-01 | 2025-01-31 | 6,075,000 | USD | 2026-03-09 | 10-K · 0001193125-26-098466 |
| 2023-02-01 | 2024-01-31 | 3,841,000 | USD | 2026-03-09 | 10-K · 0001193125-26-098466 |
| 2022-02-01 | 2023-01-31 | 4,872,000 | USD | 2025-03-10 | 10-K · 0000950170-25-036261 |
Related financial histories
- BOX INC: total assets
- BOX INC: total liabilities
- BOX INC: stockholders equity
- BOX INC: cash and cash equivalents
- BOX INC: net income or loss
- BOX INC: operating cash flow
- BOX INC: capital expenditure payments
- BOX INC: revenue
- BOX INC: contract revenue excluding tax
- BOX INC: financing cash flow
- BOX INC: investing cash flow
- BOX INC: retained earnings or deficit
- BOX INC: basic weighted-average shares
- BOX INC: diluted weighted-average shares
- BOX INC: basic earnings per share
- BOX INC: diluted earnings per share
- BOX INC: income tax expense or benefit
- BOX INC: net property, plant and equipment
- BOX INC: share-based compensation expense
- BOX INC: operating income or loss
- BOX INC: current assets
- BOX INC: current liabilities
- BOX INC: current accounts payable
- BOX INC: goodwill carrying amount
- BOX INC: net finite-lived intangible assets
- BOX INC: net current accounts receivable
- BOX INC: common-stock repurchase payments
- BOX INC: operating expenses
- BOX INC: gross profit
- BOX INC: cost of revenue
- BOX INC: research and development expense
Inspect the source
- Entity
- BOX INC / CIK 0001372612
- Captured
- 2026-09-20T07:57:11.167Z
- SEC response SHA-256
7db6f58b4571d237221682ee4e6b4797beda0b48b27e628f6b11ecc3e5285ac0
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/0001372612.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"])))