FTC Solar, Inc.: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2026-09-21.

Reading these values

This selected numerical history matches Basic earnings per share for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Selected filing history

Related financial histories

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

Inspect the source

Entity

FTC Solar, Inc. / CIK 0001828161

Captured

2026-09-21T17:35:55.518Z

SEC response SHA-256

e290f50e4ca08739072a6a4b0825389853958eae3f91f590fa82029196e9a486

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/0001828161.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"])))