Blackstone Mortgage Trust, 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 2009-01-01 to 2023-12-31. 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

Related financial histories

• Blackstone Mortgage Trust, Inc.: total assets
• Blackstone Mortgage Trust, Inc.: total liabilities
• Blackstone Mortgage Trust, Inc.: stockholders equity
• Blackstone Mortgage Trust, Inc.: cash and cash equivalents
• Blackstone Mortgage Trust, Inc.: net income or loss
• Blackstone Mortgage Trust, Inc.: operating cash flow
• Blackstone Mortgage Trust, Inc.: financing cash flow
• Blackstone Mortgage Trust, Inc.: investing cash flow
• Blackstone Mortgage Trust, Inc.: retained earnings or deficit
• Blackstone Mortgage Trust, Inc.: basic weighted-average shares
• Blackstone Mortgage Trust, Inc.: diluted weighted-average shares
• Blackstone Mortgage Trust, Inc.: basic earnings per share
• Blackstone Mortgage Trust, Inc.: diluted earnings per share
• Blackstone Mortgage Trust, Inc.: income tax expense or benefit
• Blackstone Mortgage Trust, Inc.: share-based compensation expense
• Blackstone Mortgage Trust, Inc.: common-stock repurchase payments

Inspect the source

Entity

Blackstone Mortgage Trust, Inc. / CIK 0001061630

Captured

2026-09-20T05:18:28.231Z

SEC response SHA-256

f637085b872f04b1337d094a1765d04b0021068e6dd14b5f628985f241dd3576

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/0001061630.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"])))