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Fluent, Inc.: net current accounts receivable

Net current accounts receivable for Fluent, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Fluent, Inc. financial histories

What this measure means

Current customer receivables after the allowance for credit loss. The balance is not cash collected or a guarantee of collection.

Exact concept: us-gaap:AccountsReceivableNetCurrent. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Net current accounts receivable in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3128,499,000USD2026-03-3110-K · 0001437749-26-010679
At date2024-12-3126,131,000USD2026-03-3110-K · 0001437749-26-010679
At date2023-12-3133,189,000USD2026-03-3110-K · 0001437749-26-010679
At date2022-12-3163,164,000USD2024-04-0210-K · 0001437749-24-010639
At date2021-12-3170,228,000USD2023-03-1510-K · 0001437749-23-006714
At date2020-12-3162,669,000USD2022-03-0910-K · 0001437749-22-005701
At date2019-12-3160,915,000USD2021-03-1610-K · 0001437749-21-006165
At date2018-12-3148,652,000USD2020-03-1310-K · 0001437749-20-005057
At date2017-12-3136,278,000USD2019-03-1810-K · 0001460329-19-000011
At date2016-12-3130,958,000USD2018-03-1410-K · 0001564590-18-005647
At date2015-12-3121,224,000USD2017-03-1410-K · 0001564590-17-004309
At date2014-12-31295,000USD2016-03-1810-K · 0001193125-16-510510
At date2013-12-311,563,000USD2015-04-1510-K · 0001193125-15-131319
At date2011-12-3115,822,000USD2012-06-0820-F/A · 0001193125-12-264326
At date2010-12-3118,065,000USD2012-06-0820-F/A · 0001193125-12-264326

Related financial histories

Inspect the source

Entity
Fluent, Inc. / CIK 0001460329
Captured
2026-09-20T09:06:14.656Z
SEC response SHA-256
0db6351d52cb816f8062182584e7c937a1133f13486cdb1c9318034cef304f8c

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001460329.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"])))