Stock Analysis on Net
Stock Analysis on Net

Palo Alto Networks Inc. (NASDAQ:PANW)

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Analysis of Short-term (Operating) Activity Ratios
Quarterly Data

Microsoft Excel

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Short-term Activity Ratios (Summary)

Palo Alto Networks Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Jul 31, 2026 Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021
Turnover Ratios
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average receivable collection period
Average payables payment period

Based on: 10-K (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31).


The operational activity ratios demonstrate a recurring seasonal pattern in receivables management contrasted with a gradual shift in payables strategy over the analyzed period.

Receivables Management and Collection Efficiency
A significant cyclical fluctuation is observed in the receivables turnover and the average receivable collection period. Collection efficiency consistently peaks in October, with the highest turnover ratios recorded in October 2024 (7.32) and October 2025 (7.12), corresponding to the shortest collection periods of 50 and 51 days, respectively. Conversely, a recurring decline in efficiency occurs every July, with collection periods extending to their highest levels, such as 142 days in July 2022 and 130 days in July 2023. This pattern suggests a systemic seasonal variation in customer payment behavior or billing cycles.
Payables Management and Vendor Terms
The payables turnover exhibits a general downward trend over the long term, indicating a shift toward slower payment cycles. While earlier periods showed turnovers frequently exceeding 14.00 with payment periods averaging 25 to 30 days, more recent quarters show turnovers stabilizing between 10.00 and 12.00. This is reflected in the average payables payment period, which has increased to a range of 31 to 37 days in the later stages of the period. This trend suggests an intentional extension of credit terms from vendors, which serves to preserve short-term liquidity.
Working Capital and Liquidity Dynamics
A notable disparity exists between the time taken to collect receivables and the time taken to settle payables. The average receivable collection period consistently exceeds the average payables payment period by a wide margin, often by over 60 days during the July troughs. This gap indicates a reliance on internal liquidity or short-term financing to cover the operational cycle. Regarding working capital turnover, the limited availability of data precludes a trend analysis, though a ratio of 27.48 was recorded for January 31, 2026.

Turnover Ratios


Average No. Days


Receivables Turnover

Palo Alto Networks Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Jul 31, 2026 Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021
Selected Financial Data (US$ in millions)
Revenue
Accounts receivable, net of allowance for credit losses
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Adobe Inc.
AppLovin Corp.
Cadence Design Systems Inc.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Salesforce Inc.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-K (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31).

1 Q4 2026 Calculation
Receivables turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Accounts receivable, net of allowance for credit losses
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Revenue displays a consistent upward trajectory over the analyzed period, growing from 1,247 million in October 2021 to 3,410 million by July 2026. Despite this steady growth in top-line performance, the receivables turnover ratio exhibits significant volatility, characterized by a recurring cyclical pattern rather than a linear trend.

Seasonal Volatility and Troughs
A pronounced decline in the receivables turnover ratio is observed consistently during the July quarters. Notable lows occurred in July 2022 (2.57), July 2023 (2.80), July 2024 (3.07), July 2025 (3.11), and July 2026 (3.16). These troughs correlate precisely with substantial spikes in net accounts receivable, suggesting a recurring seasonal expansion of credit terms or a systematic lag in collections during the third quarter of the calendar year.
Periodical Efficiency Peaks
The highest levels of collection efficiency are recorded in the October quarters, with peaks reaching 7.32 in October 2024 and 7.12 in October 2025. These surges in the turnover ratio are associated with sharp reductions in the outstanding accounts receivable balance, indicating an aggressive liquidation of receivables or the seasonal settlement of invoices at the end of the fiscal period.
Relationship Between Revenue Growth and Credit Management
While revenue has increased by approximately 173% from the start to the end of the period, the accounts receivable balance has not followed a proportional linear growth path. Instead, the balance oscillates between extreme highs and lows. This suggests that the company's short-term operating activity is subject to high variance, where the ability to convert receivables into cash fluctuates sharply regardless of the overall growth in sales volume.

Payables Turnover

Palo Alto Networks Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Jul 31, 2026 Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021
Selected Financial Data (US$ in millions)
Cost of revenue
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Accenture PLC
Adobe Inc.
AppLovin Corp.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
ServiceNow Inc.
Workday Inc.

Based on: 10-K (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31).

1 Q4 2026 Calculation
Payables turnover = (Cost of revenueQ4 2026 + Cost of revenueQ3 2026 + Cost of revenueQ2 2026 + Cost of revenueQ1 2026) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The operating activity reflects a significant expansion in scale, characterized by a substantial increase in costs and a corresponding growth in obligations to suppliers. While costs have risen steadily, the timing and efficiency of payments to vendors have shifted, indicating a strategic evolution in working capital management.

Cost of Revenue Trends
A consistent upward trajectory is observed in the cost of revenue, which rose from 381 million US dollars in October 2021 to 1,106 million US dollars by July 2026. This growth became particularly aggressive in the final two quarters of the period, where expenditures climbed from 685 million US dollars to over 1.1 billion US dollars, signaling a rapid increase in operational scale.
Accounts Payable Dynamics
Accounts payable increased from 95 million US dollars to 290 million US dollars over the analyzed timeframe. This growth was marked by intermittent volatility, notably a sharp increase to 212 million US dollars in October 2024 followed by subsequent fluctuations. The overall trend indicates a significant increase in the utilization of trade credit.
Payables Turnover Analysis
The payables turnover ratio exhibits a general downward shift over the long term. Between October 2021 and October 2023, the ratio predominantly fluctuated between 12 and 15. From January 2025 through July 2026, the ratio stabilized at a lower level, generally ranging between 10 and 11.73. This decline suggests a lengthening of the average payment period, indicating that the organization is taking longer to settle its obligations with suppliers.
Volatility and Anomalies
Significant spikes in the turnover ratio occurred in April 2023 (20.69) and April 2024 (18.29), representing periods of accelerated payments or temporary reductions in payable balances. Following these peaks, the ratio trended downward, eventually reaching a low of 9.99 in April 2025, reinforcing the pattern of extended payment terms as the business scaled.

Working Capital Turnover

Palo Alto Networks Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Jul 31, 2026 Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021
Selected Financial Data (US$ in millions)
Current assets
Less: Current liabilities
Working capital
 
Revenue
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Accenture PLC
Adobe Inc.
AppLovin Corp.
Cadence Design Systems Inc.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Salesforce Inc.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-K (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31).

1 Q4 2026 Calculation
Working capital turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Revenue exhibits a consistent and sustained upward trajectory over the analyzed period, growing from 1,247 million US dollars in October 2021 to 3,410 million US dollars by July 2026. This represents a significant expansion in top-line performance throughout the timeframe.

Working Capital Dynamics
A persistent trend of negative working capital is observed for the vast majority of the period. The deficit reached its maximum point in January 2023 at -3,069 million US dollars. Following this trough, there was a steady trend toward stabilization, with working capital becoming less negative over several consecutive quarters. This progression culminated in a brief transition to a positive working capital position of 360 million US dollars in January 2026. However, this positive trend was short-lived, as working capital reverted to negative values of -1,293 million US dollars and -1,280 million US dollars in the subsequent two quarters.
Working Capital Turnover Interpretation
The working capital turnover ratio is generally inapplicable during periods of negative working capital. Consequently, the ratio remains absent for most of the sequence. A singular calculation of 27.48 is recorded for January 2026, coinciding with the only period of positive working capital. This high ratio indicates an exceptionally efficient use of net current assets to generate revenue during that specific quarter. The subsequent disappearance of the ratio aligns with the return to a negative working capital structure.

Average Receivable Collection Period

Palo Alto Networks Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Jul 31, 2026 Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Adobe Inc.
AppLovin Corp.
Cadence Design Systems Inc.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Salesforce Inc.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-K (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31).

1 Q4 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of the operating activity ratios reveals a pronounced cyclical pattern in the management of receivables, characterized by significant fluctuations in the average receivable collection period and the corresponding turnover ratio over the observed timeframe.

Seasonal Volatility in Collection Periods
A recurring trend is observed where the average receivable collection period peaks significantly during the July quarter of each year. The longest collection durations were recorded in July 2022 (142 days), July 2023 (130 days), July 2024 (119 days), July 2025 (117 days), and July 2026 (115 days). This consistent spike suggests a seasonal delay in cash inflows or a recurring expansion of credit terms offered to clients during the mid-year period.
Periodic Efficiency Gains
Following the July peaks, a sharp improvement in collection efficiency consistently occurs by October. The most efficient collection periods were noted in October 2024 (50 days) and October 2025 (51 days). This indicates a strong year-end push for receivable recovery, resulting in a substantial reduction of the days sales outstanding.
Correlation with Receivables Turnover
The receivables turnover ratio exhibits an inverse relationship with the collection period, reflecting the same cyclicality. Turnover ratios reach their lowest points in July, such as the 2.57 ratio in July 2022 and 2.80 in July 2023. Conversely, the highest turnover efficiency is observed in October, peaking at 7.32 in October 2024 and 7.12 in October 2025. This correlation confirms that the acceleration of turnover is the primary driver behind the reduction of the average collection period.
Long-term Trend Observation
While the cyclical volatility persists, there is a slight downward trend in the peak collection days from 142 days in 2022 to 115 days by 2026. This suggests a gradual improvement in the management of peak-season receivables, although the overall pattern of instability between quarters remains a constant feature of the operating cycle.

Average Payables Payment Period

Palo Alto Networks Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Jul 31, 2026 Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021
Selected Financial Data
Payables turnover
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Accenture PLC
Adobe Inc.
AppLovin Corp.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
ServiceNow Inc.
Workday Inc.

Based on: 10-K (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31).

1 Q4 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a notable shift in the management of accounts payable, characterized by a general extension of the payment cycle over the observed period.

Payables Turnover Trends
Between October 2021 and October 2023, the payables turnover ratio remained relatively stable, generally fluctuating between 12.25 and 14.68, with a singular peak of 20.69 in April 2023. However, beginning in January 2024, a downward trend in the turnover ratio is evident. The ratio frequently dropped to levels between 9.99 and 11.73 during the 2024 through 2026 periods, indicating a decrease in the frequency with which the company settles its obligations to suppliers.
Average Payables Payment Period Analysis
The average payables payment period exhibited a period of relative consistency from October 2021 to October 2023, typically centering around 25 days, with a minimum of 18 days recorded in April 2023. A structural shift occurred starting in early 2024, where the payment period began to expand. From January 2025 through April 2026, the period remained elevated, peaking at 37 days in April 2025 and maintaining a baseline above 30 days. This suggests a strategic shift toward retaining cash for longer durations before settling vendor liabilities.
Correlation and Volatility
An inverse correlation is observed between the turnover ratio and the payment period. The most significant volatility occurred between January 2024 and October 2024, where the payment period fluctuated sharply between 20 and 36 days. Following this period of instability, the payment cycle transitioned into a new, higher plateau, stabilizing between 31 and 36 days in the final quarters of the analysis.