Sprout Social, Inc.: net finite-lived intangible assets

What this measure means

Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.

Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. 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 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Sprout Social, Inc. / CIK 0001517375

Captured

2026-09-20T09:14:01.995Z

SEC response SHA-256

19817b86c758f2ea137550a257a2fd5be5d346714144e2046c4a46706e32f2c9

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/0001517375.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"])))