LONGEVERON INC.: net property, plant and equipment

What this measure means

Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.

Exact concept: us-gaap:PropertyPlantAndEquipmentNet. 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 2020-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• LONGEVERON INC.: total assets
• LONGEVERON INC.: total liabilities
• LONGEVERON INC.: stockholders equity
• LONGEVERON INC.: cash and cash equivalents
• LONGEVERON INC.: net income or loss
• LONGEVERON INC.: operating cash flow
• LONGEVERON INC.: capital expenditure payments
• LONGEVERON INC.: revenue
• LONGEVERON INC.: contract revenue excluding tax
• LONGEVERON INC.: financing cash flow
• LONGEVERON INC.: investing cash flow
• LONGEVERON INC.: retained earnings or deficit
• LONGEVERON INC.: basic weighted-average shares
• LONGEVERON INC.: diluted weighted-average shares
• LONGEVERON INC.: basic earnings per share
• LONGEVERON INC.: diluted earnings per share
• LONGEVERON INC.: share-based compensation expense
• LONGEVERON INC.: operating income or loss
• LONGEVERON INC.: current assets
• LONGEVERON INC.: current liabilities
• LONGEVERON INC.: current accounts payable
• LONGEVERON INC.: net finite-lived intangible assets
• LONGEVERON INC.: net current accounts receivable
• LONGEVERON INC.: operating expenses
• LONGEVERON INC.: gross profit
• LONGEVERON INC.: cost of revenue
• LONGEVERON INC.: research and development expense

Inspect the source

Entity

LONGEVERON INC. / CIK 0001721484

Captured

2026-09-21T17:27:17.463Z

SEC response SHA-256

bef4fda85cfb248a2226766cdb64065fbdb0bb4a0e870c1ac48c352c42a75427

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/0001721484.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"])))