Ciena Corp: capital expenditure payments

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. 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 2007-11-01 to 2025-11-01. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Ciena Corp / CIK 0000936395

Captured

2026-09-20T05:09:46.859Z

SEC response SHA-256

c95eb9e60c5c9006bfad60dd19c37339ec735221282656ac782c5f4a04daef05

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/0000936395.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"])))