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Rollins, Inc.: financing cash flow

Rollins financing cash flow: -$343.6 million for the year ending 2025-12-31, up 22.0% on the year. 13 values since 2008, each linked to its SEC filing.

All Rollins, Inc. financial histories

At a glance

Rollins reported financing cash flow of -$343.6 million for the year ending 2025-12-31, up 22.0% from -$440.7 million a year earlier. Across the last five reported years it ranged from -$440.7 million (2024-12-31) to -$149.4 million (2023-12-31).

Computed from the values in the table below, in USD; each links to the filing it came from.

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
2025-01-012025-12-31-343,579,000USD2026-02-1210-K · 0000084839-26-000008 SEC
2024-01-012024-12-31-440,708,000USD2026-02-1210-K · 0000084839-26-000008 SEC
2023-01-012023-12-31-149,420,000USD2026-02-1210-K · 0000084839-26-000008 SEC
2022-01-012022-12-31-336,017,000USD2025-02-1310-K · 0000084839-25-000024 SEC
2021-01-012021-12-31-290,159,000USD2024-02-1510-K · 0000084839-24-000025 SEC
2020-01-012020-12-31-281,273,000USD2023-02-1610-K · 0000084839-23-000006 SEC
2019-01-012019-12-31111,686,000USD2022-02-2510-K · 0000084839-22-000011 SEC
2018-01-012018-12-31-175,412,000USD2021-02-2610-K · 0001171200-21-000076 SEC
2017-01-012017-12-31-130,263,000USD2020-02-2810-K · 0001171200-20-000103 SEC
2016-01-012016-12-31-136,371,000USD2019-03-0110-K · 0001171200-19-000087 SEC
2010-01-012010-12-31-65,497,000USD2011-02-2510-K · 0001047469-11-001349 SEC
2009-01-012009-12-31-89,753,000USD2011-02-2510-K · 0001047469-11-001349 SEC
2008-01-012008-12-3121,032,000USD2011-02-2510-K · 0001047469-11-001349 SEC

Related ROLLINS, INC. histories

All 58 Rollins histories

Inspect the source

Entity
ROLLINS, INC. / CIK 0000084839
Captured
SEC response SHA-256
ae4b8c87e5f58268ddf496d1e7eef6e01c40e4c1f9a6a5ab970f46e2b018263e

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

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

with urlopen("https://canlicapital.com/company-data/0000084839.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"])))