DigitalOcean Holdings, Inc.: operating expenses

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• DigitalOcean Holdings, Inc.: total assets
• DigitalOcean Holdings, Inc.: total liabilities
• DigitalOcean Holdings, Inc.: stockholders equity
• DigitalOcean Holdings, Inc.: cash and cash equivalents
• DigitalOcean Holdings, Inc.: net income or loss
• DigitalOcean Holdings, Inc.: operating cash flow
• DigitalOcean Holdings, Inc.: capital expenditure payments
• DigitalOcean Holdings, Inc.: contract revenue excluding tax
• DigitalOcean Holdings, Inc.: financing cash flow
• DigitalOcean Holdings, Inc.: investing cash flow
• DigitalOcean Holdings, Inc.: retained earnings or deficit
• DigitalOcean Holdings, Inc.: basic weighted-average shares
• DigitalOcean Holdings, Inc.: diluted weighted-average shares
• DigitalOcean Holdings, Inc.: basic earnings per share
• DigitalOcean Holdings, Inc.: diluted earnings per share
• DigitalOcean Holdings, Inc.: income tax expense or benefit
• DigitalOcean Holdings, Inc.: net property, plant and equipment
• DigitalOcean Holdings, Inc.: share-based compensation expense
• DigitalOcean Holdings, Inc.: operating income or loss
• DigitalOcean Holdings, Inc.: current assets
• DigitalOcean Holdings, Inc.: interest expense
• DigitalOcean Holdings, Inc.: current liabilities
• DigitalOcean Holdings, Inc.: current accounts payable
• DigitalOcean Holdings, Inc.: goodwill carrying amount
• DigitalOcean Holdings, Inc.: net finite-lived intangible assets
• DigitalOcean Holdings, Inc.: net current accounts receivable
• DigitalOcean Holdings, Inc.: common-stock repurchase payments
• DigitalOcean Holdings, Inc.: gross profit
• DigitalOcean Holdings, Inc.: cost of revenue
• DigitalOcean Holdings, Inc.: research and development expense

Inspect the source

Entity

DigitalOcean Holdings, Inc. / CIK 0001582961

Captured

2026-09-20T09:22:55.721Z

SEC response SHA-256

cbae5588721eb18060635ccf5eb27dbb15631381b42230571d26eaf5d000aa2b

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/0001582961.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"])))