DIGITAL REALTY TRUST, INC.: total assets

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• DIGITAL REALTY TRUST, INC.: total liabilities
• DIGITAL REALTY TRUST, INC.: stockholders equity
• DIGITAL REALTY TRUST, INC.: cash and cash equivalents
• DIGITAL REALTY TRUST, INC.: net income or loss
• DIGITAL REALTY TRUST, INC.: operating cash flow
• DIGITAL REALTY TRUST, INC.: revenue
• DIGITAL REALTY TRUST, INC.: financing cash flow
• DIGITAL REALTY TRUST, INC.: investing cash flow
• DIGITAL REALTY TRUST, INC.: retained earnings or deficit
• DIGITAL REALTY TRUST, INC.: basic weighted-average shares
• DIGITAL REALTY TRUST, INC.: diluted weighted-average shares
• DIGITAL REALTY TRUST, INC.: basic earnings per share
• DIGITAL REALTY TRUST, INC.: diluted earnings per share
• DIGITAL REALTY TRUST, INC.: income tax expense or benefit
• DIGITAL REALTY TRUST, INC.: operating income or loss
• DIGITAL REALTY TRUST, INC.: interest expense
• DIGITAL REALTY TRUST, INC.: goodwill carrying amount
• DIGITAL REALTY TRUST, INC.: net finite-lived intangible assets
• DIGITAL REALTY TRUST, INC.: operating expenses

Inspect the source

Entity

DIGITAL REALTY TRUST, INC. / CIK 0001297996

Captured

2026-09-20T07:50:32.953Z

SEC response SHA-256

1f5fcfd178c7d6e26d50f0d0419ed3fba35c68bffa838ed16ee33e436a47ed14

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/0001297996.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"])))