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Sensient Technologies Corp: financing cash flow

Financing cash flow for Sensient Technologies Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Sensient Technologies Corp financial histories

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-35,035,000USD2026-02-1310-K · 0001140361-26-005311
2024-01-012024-12-31-81,546,000USD2026-02-1310-K · 0001140361-26-005311
2023-01-012023-12-31-81,999,000USD2026-02-1310-K · 0001140361-26-005311
2022-01-012022-12-3186,179,000USD2025-02-1910-K · 0001140361-25-005084
2021-01-012021-12-31-107,761,000USD2024-02-2210-K · 0001140361-24-008963
2020-01-012020-12-31-184,153,000USD2023-02-1710-K · 0001140361-23-007579
2019-01-012019-12-31-150,583,000USD2022-02-1810-K · 0001140361-22-006156
2018-01-012018-12-31-98,724,000USD2021-02-2210-K · 0001140361-21-005623
2017-01-012017-12-31-153,414,000USD2020-02-2110-K · 0001140361-20-003752
2016-01-012016-12-31-127,971,000USD2019-02-2510-K/A · 0001140361-19-003714
2015-01-012015-12-31-50,134,000USD2018-02-2310-K · 0001140361-18-009754
2014-01-012014-12-31-98,553,000USD2017-02-2310-K · 0001140361-17-008738
2013-01-012013-12-31-48,219,000USD2016-02-2510-K · 0001140361-16-054898
2012-01-012012-12-31-48,772,000USD2015-02-2610-K · 0001140361-15-009106
2011-01-012011-12-31-52,948,000USD2014-02-2810-K · 0001140361-14-010109
2010-01-012010-12-31-97,541,000USD2013-02-2710-K · 0001140361-13-009616
2009-01-012009-12-31-80,368,000USD2012-02-2710-K · 0001140361-12-011033
2008-01-012008-12-31-38,356,000USD2011-02-2510-K · 0000950123-11-018319

Related financial histories

Inspect the source

Entity
Sensient Technologies Corp / CIK 0000310142
Captured
2026-09-19T14:55:42.866Z
SEC response SHA-256
47409ef5dd5b558def3779c8a89e610a4e9c69abc94192026bf37498feaf471c

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/0000310142.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"])))