Skip to content

SUBURBAN PROPANE PARTNERS LP: financing cash flow

Financing cash flow for SUBURBAN PROPANE PARTNERS LP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SUBURBAN PROPANE PARTNERS LP 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 2007-09-30 to 2025-09-27. 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
2024-09-292025-09-27-66,744,000USD2025-11-2610-K · 0001193125-25-298630
2023-10-012024-09-28-72,501,000USD2025-11-2610-K · 0001193125-25-298630
2022-09-252023-09-30-44,628,000USD2025-11-2610-K · 0001193125-25-298630
2021-09-262022-09-24-127,820,000USD2024-11-2710-K · 0000950170-24-131309
2020-09-272021-09-25-189,809,000USD2023-11-2210-K · 0000950170-23-065770
2019-09-292020-09-26-155,412,000USD2022-11-2310-K · 0000950170-22-025646
2018-09-302019-09-28-180,989,000USD2021-11-2410-K · 0001564590-21-058219
2017-10-012018-09-29-168,947,000USD2020-11-2510-K · 0001564590-20-055186
2016-09-252017-09-30-175,385,000USD2019-11-2710-K · 0001564590-19-044639
2015-09-272016-09-24-218,513,000USD2018-11-2110-K · 0001564590-18-029999
2013-09-292014-09-27-223,612,000USD2014-11-2610-K · 0001193125-14-426338
2012-09-302013-09-28-226,728,000USD2014-11-2610-K · 0001193125-14-426338
2011-09-252012-09-29113,549,000USD2014-11-2610-K · 0001193125-14-426338
2010-09-262011-09-24-120,636,000USD2013-11-2710-K · 0001193125-13-456057
2009-09-272010-09-25-131,951,000USD2012-11-2810-K · 0001193125-12-483681
2008-09-282009-09-26-204,224,000USD2011-11-2310-K · 0000950123-11-100194
2007-09-302008-09-27-116,035,000USD2010-11-2410-K · 0000950123-10-108484

Related financial histories

Inspect the source

Entity
SUBURBAN PROPANE PARTNERS LP / CIK 0001005210
Captured
2026-09-20T05:11:49.858Z
SEC response SHA-256
3da1636da3395d7495a01561029ee2abbfa76a4fa37f948f0b84f33ae2c04b32

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/0001005210.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"])))