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TELEDYNE TECHNOLOGIES INC: financing cash flow

Financing cash flow for TELEDYNE TECHNOLOGIES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All TELEDYNE TECHNOLOGIES INC 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 2007-12-31 to 2025-12-28. The SEC response was captured on 2026-09-20.

Selected filing history

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-12-302025-12-28-555,200,000USD2026-02-2010-K · 0001094285-26-000017
2024-01-012024-12-29-945,800,000USD2026-02-2010-K · 0001094285-26-000017
2023-01-022023-12-31-651,500,000USD2026-02-2010-K · 0001094285-26-000017
2022-01-032023-01-01-110,000,000USD2025-02-2110-K · 0001094285-25-000053
2021-01-042022-01-022,807,100,000USD2024-02-2310-K · 0001094285-24-000044
2019-12-302021-01-03-61,800,000USD2023-02-2410-K · 0001094285-23-000053
2018-12-312019-12-29141,700,000USD2022-02-2510-K · 0001094285-22-000049
2018-01-012018-12-30-271,300,000USD2021-02-2610-K · 0001094285-21-000066
2017-01-022017-12-31414,100,000USD2020-02-2410-K · 0001094285-20-000045
2016-01-042017-01-01-145,000,000USD2019-02-2510-K · 0001094285-19-000064
2014-12-292016-01-03-145,000,000USD2018-02-2710-K · 0001094285-18-000053
2013-12-302014-12-2830,400,000USD2017-03-0210-K · 0001094285-17-000031
2012-12-312013-12-2911,100,000USD2016-03-0110-K · 0001094285-16-000177
2012-01-022012-12-30260,300,000USD2015-02-2610-K · 0001094285-15-000037
2011-01-032012-01-0129,600,000USD2014-02-2510-K · 0001094285-14-000072
2010-01-042011-01-028,400,000USD2012-02-2910-K · 0001193125-12-089549
2010-01-012011-01-028,400,000USD2013-02-2610-K · 0001094285-13-000064
2008-12-292010-01-03-80,500,000USD2012-02-2910-K · 0001193125-12-089549
2007-12-312008-12-28213,200,000USD2011-03-0310-K · 0000950123-11-021752

Related financial histories

Inspect the source

Entity
TELEDYNE TECHNOLOGIES INC / CIK 0001094285
Captured
2026-09-20T05:22:12.776Z
SEC response SHA-256
8f802c6a2c4459044b5700272d1b207342555516a18ccdf754027cd65ec9fc8c

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/0001094285.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"])))