DBV Technologies S.A.: 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 2019-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• DBV Technologies S.A.: total liabilities
• DBV Technologies S.A.: stockholders equity
• DBV Technologies S.A.: cash and cash equivalents
• DBV Technologies S.A.: net income or loss
• DBV Technologies S.A.: operating cash flow
• DBV Technologies S.A.: capital expenditure payments
• DBV Technologies S.A.: revenue
• DBV Technologies S.A.: financing cash flow
• DBV Technologies S.A.: investing cash flow
• DBV Technologies S.A.: retained earnings or deficit
• DBV Technologies S.A.: basic weighted-average shares
• DBV Technologies S.A.: diluted weighted-average shares
• DBV Technologies S.A.: basic earnings per share
• DBV Technologies S.A.: diluted earnings per share
• DBV Technologies S.A.: income tax expense or benefit
• DBV Technologies S.A.: net property, plant and equipment
• DBV Technologies S.A.: share-based compensation expense
• DBV Technologies S.A.: operating income or loss
• DBV Technologies S.A.: current assets
• DBV Technologies S.A.: current liabilities
• DBV Technologies S.A.: operating expenses
• DBV Technologies S.A.: research and development expense

Inspect the source

Entity

DBV Technologies S.A. / CIK 0001613780

Captured

2026-09-21T17:21:23.027Z

SEC response SHA-256

a86872643fedd26306e10b7c83c8e81ec1520dee554a0314ad10c99c8ad439c1

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/0001613780.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"])))