Senseonics Holdings, Inc.: selling, general and administrative expense

What this measure means

Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.

Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• Senseonics Holdings, Inc.: total assets
• Senseonics Holdings, Inc.: total liabilities
• Senseonics Holdings, Inc.: stockholders equity
• Senseonics Holdings, Inc.: cash and cash equivalents
• Senseonics Holdings, Inc.: net income or loss
• Senseonics Holdings, Inc.: operating cash flow
• Senseonics Holdings, Inc.: revenue
• Senseonics Holdings, Inc.: contract revenue excluding tax
• Senseonics Holdings, Inc.: financing cash flow
• Senseonics Holdings, Inc.: investing cash flow
• Senseonics Holdings, Inc.: retained earnings or deficit
• Senseonics Holdings, Inc.: basic weighted-average shares
• Senseonics Holdings, Inc.: diluted weighted-average shares
• Senseonics Holdings, Inc.: basic earnings per share
• Senseonics Holdings, Inc.: diluted earnings per share
• Senseonics Holdings, Inc.: net property, plant and equipment
• Senseonics Holdings, Inc.: share-based compensation expense
• Senseonics Holdings, Inc.: operating income or loss
• Senseonics Holdings, Inc.: current assets
• Senseonics Holdings, Inc.: interest expense
• Senseonics Holdings, Inc.: current liabilities
• Senseonics Holdings, Inc.: current accounts payable
• Senseonics Holdings, Inc.: net inventory
• Senseonics Holdings, Inc.: gross profit
• Senseonics Holdings, Inc.: research and development expense

Inspect the source

Entity

Senseonics Holdings, Inc. / CIK 0001616543

Captured

2026-09-19T11:19:39.501Z

SEC response SHA-256

e29c65d43d6c8dc67a43342f932d4a4a7152f14d7546681ff956074587dce9f1

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/0001616543.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"])))