Stock Analysis on Net
Stock Analysis on Net

Cisco Systems Inc. (NASDAQ:CSCO)

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

Cisco Systems Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Turnover Ratios
Inventory turnover
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle
Less: Average payables payment period
Cash conversion cycle

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).


A comprehensive analysis of the operating activity ratios reveals a systemic deceleration in operational efficiency over the analyzed period. The most prominent trend is a significant increase in the time required to convert resources into cash, characterized by a marked deterioration in inventory management and a corresponding expansion of the cash conversion cycle.

Inventory Management Efficiency
A consistent downward trend in inventory turnover is observed, declining from 10.06 in October 2021 to 3.95 by July 2026. This decline is mirrored by the average inventory processing period, which expanded from 36 days to 93 days. Such a trajectory suggests a substantial buildup of unsold stock or a reduction in the velocity of product movement, indicating potential inefficiencies in supply chain management or a shift in demand patterns.
Receivables and Collection Performance
Receivables turnover exhibits higher volatility compared to inventory metrics. While turnover peaked at 12.01 in October 2023, it ended the period at 8.48. The average receivable collection period fluctuated between a low of 30 days and a high of 45 days. Although more stable than inventory metrics, the recent trend shows a gradual increase in the collection period toward the end of the series, suggesting a slight softening in credit collection efficiency.
Payables and Supplier Obligations
Payables turnover generally decreased over the long term, moving from 8.15 to 6.67. Correspondingly, the average payables payment period increased from 45 days to 55 days. This indicates a strategic or necessary shift toward extending payment terms with suppliers, which serves as a mechanism to preserve cash amidst slowing inventory turnover.
Operating and Cash Conversion Cycles
The cumulative effect of slower inventory turnover and fluctuating collection periods has led to a substantial extension of the operating cycle, which rose from 74 days to 136 days. Consequently, the cash conversion cycle—the critical metric for liquidity efficiency—increased from 29 days to 81 days. The fact that the cash conversion cycle nearly tripled indicates that a significantly larger amount of capital is tied up in operations for longer durations, potentially increasing the company's reliance on external financing to maintain liquidity.

Turnover Ratios


Average No. Days


Inventory Turnover

Cisco Systems Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data (US$ in millions)
Cost of sales
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

1 Q4 2026 Calculation
Inventory turnover = (Cost of salesQ4 2026 + Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of the operating activity ratios reveals a sustained decline in inventory efficiency over the observed period. While cost of sales remained relatively stable with a gradual upward trajectory, the volume of inventories grew at a significantly faster rate, leading to a progressive reduction in the inventory turnover ratio.

Inventory Turnover Trend
A consistent downward trend is observed in the inventory turnover ratio, which decreased from a high of 10.06 in October 2021 to a low of 3.95 by July 2026. This decline indicates that inventory is being cycled through the business significantly slower than in previous periods, suggesting a decrease in operational efficiency or a shift in inventory management strategy.
Inventory Accumulation Patterns
Inventories experienced a substantial increase, rising from 1,832 million USD in October 2021 to 5,694 million USD by July 2026. The most aggressive accumulation occurred in two distinct phases: first, between October 2021 and July 2023, where inventories nearly doubled, and second, from January 2026 to July 2026, where levels jumped from 3,920 million USD to 5,694 million USD.
Cost of Sales Correlation
The cost of sales exhibited moderate volatility but lacked the growth velocity necessary to offset the increase in inventory holdings. While the cost of sales rose from 4,847 million USD to 6,189 million USD over the period, the disproportionate growth in inventory levels acted as the primary driver for the compression of the turnover ratio.
Operational Efficiency Phases
The data suggests three distinct phases: a period of rapid efficiency loss from October 2021 to July 2023; a period of relative stabilization between October 2023 and April 2025, where the ratio fluctuated between 5.63 and 6.83; and a final period of sharp decline beginning in January 2026, culminating in the lowest recorded turnover ratio of 3.95.

Receivables Turnover

Cisco Systems Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data (US$ in millions)
Revenue
Accounts receivable, net of allowance
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

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

2 Click competitor name to see calculations.


The receivables turnover ratio exhibits significant volatility throughout the analyzed period, reflecting fluctuating efficiency in the conversion of accounts receivable into cash. While overall revenue increased from 12,900 million in October 2021 to 17,252 million by July 2026, the collection efficiency did not follow a linear growth path, instead oscillating between a low of 7.79 and a peak of 12.01.

Collection Efficiency Trends
A period of strengthened collection efficiency is observed between October 2022 and October 2023, during which the turnover ratio rose from 9.61 to its maximum value of 12.01. This peak indicates a phase of optimal credit management or accelerated payment cycles. However, this trend reversed sharply in 2024, with the ratio falling to 8.05 by July 2024 before recovering briefly to 11.95 in October 2025.
Seasonal Correlation with Receivable Balances
A recurring pattern is evident during July quarters, where spikes in net accounts receivable correlate with notable declines in the turnover ratio. For instance, receivables peaked at 6,622 million, 6,685 million, and 7,470 million in July 2022, July 2024, and July 2026, respectively. These increases in outstanding receivables drove the turnover ratios down to 7.79, 8.05, and 8.48 during those specific periods, suggesting a seasonal accumulation of credit sales or deferred payments.
Revenue Scaling and Asset Management
Despite the expansion of quarterly revenue over the observation period, the receivables turnover ratio has not established a new, higher baseline. The ratio's tendency to return to the 8.0 to 10.0 range suggests that the growth in sales has been largely mirrored by a proportional increase in the receivables balance. This indicates that while the volume of business has increased, the fundamental speed of the cash conversion cycle for receivables has remained relatively constant over the long term.

Payables Turnover

Cisco Systems Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data (US$ in millions)
Cost of sales
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

1 Q4 2026 Calculation
Payables turnover = (Cost of salesQ4 2026 + Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The payables turnover ratio exhibits a cyclical trajectory over the analyzed period, characterized by an initial phase of stability, a period of acceleration in turnover efficiency, and a subsequent sustained decline. This trend indicates a significant shift in the management of short-term obligations to suppliers.

Payables Turnover Trend Analysis
From October 2021 through October 2022, the turnover ratio remained relatively constant, fluctuating within a narrow range between 8.15 and 8.53. A notable upward trend emerged starting in January 2023, culminating in a peak ratio of 11.08 in January 2024. This phase reflects an acceleration in the frequency with which accounts payable were settled relative to the cost of sales.
Correlation Between Cost of Sales and Accounts Payable
During the period of peak turnover in early 2024, accounts payable reached a local minimum of 1.848 billion US dollars. Subsequently, a divergence occurred where accounts payable grew at a pace exceeding the growth of the cost of sales. While the cost of sales increased from 4.574 billion US dollars in January 2024 to 6.189 billion US dollars by July 2026, accounts payable rose more aggressively from 1.848 billion US dollars to 3.366 billion US dollars over the same interval.
Analysis of Recent Declines
A consistent downward trend in the turnover ratio is observed from January 2025 through July 2026, falling from 9.93 to 6.67. This decline indicates a slowing of the payables turnover cycle, suggesting that the company is extending its payment terms to suppliers or utilizing supplier credit more extensively to finance operating activities.

Working Capital Turnover

Cisco Systems Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 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
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

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

2 Click competitor name to see calculations.


The financial trajectory indicates a period of steady revenue growth coupled with a fundamental shift in the management of short-term assets and liabilities. Revenue expanded from 12,900 million US dollars in October 2021 to a peak of 17,252 million US dollars by July 2026, reflecting a consistent upward trend in top-line performance despite intermittent quarterly fluctuations.

Working Capital Dynamics
A significant structural transition in working capital is observed. Between October 2021 and January 2024, working capital remained positive, fluctuating between 10,884 million and 14,350 million US dollars. However, a pivot occurred in April 2024, where working capital shifted to a negative position, reaching -4,222 million US dollars. This negative trend persisted through July 2026, with a notable low of -5,338 million US dollars in January 2025. This transition suggests a strategic shift in the financing of operations, potentially through more aggressive management of accounts payable or a reduction in current assets relative to current liabilities.
Working Capital Turnover Efficiency
During the period of positive working capital (October 2021 to January 2024), the working capital turnover ratio exhibited a general upward trend. The ratio increased from 3.54 to 5.08, indicating an improvement in operational efficiency and a greater ability to generate revenue from the invested working capital. The acceleration in this ratio suggests that the organization was extracting more value from its short-term assets prior to the shift into negative working capital.
Correlation Between Revenue and Capital Utilization
While revenue continued to scale upward in the latter half of the analyzed period, the transition to negative working capital implies that the growth is no longer being supported by an increase in net current assets. Instead, the organization has transitioned to a model where current liabilities exceed current assets, effectively utilizing supplier credit or other short-term obligations to fund the continued expansion of revenue toward the 17,252 million US dollar mark.

Average Inventory Processing Period

Cisco Systems Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data
Inventory turnover
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of operational activity ratios reveals a consistent decline in inventory management efficiency over the observed timeframe. A clear inverse correlation exists between the inventory turnover ratio and the average inventory processing period, indicating a systemic slowdown in the conversion of inventory into sales.

Inventory Turnover Trends
A sustained downward trajectory is observed in the inventory turnover ratio, which decreased from a high of 10.06 in October 2021 to a low of 3.95 by July 2026. This trend signifies a reduction in the velocity of inventory movement, suggesting that goods are remaining in stock for longer durations before being sold.
Average Inventory Processing Period
The time required to process inventory experienced a significant increase, rising from 36 days in October 2021 to a peak of 93 days in July 2026. This represents more than a twofold increase in the duration of the inventory cycle, reflecting a marked deterioration in short-term operational efficiency.
Phased Operational Analysis
The data indicates three distinct phases: an initial period of steady decline in efficiency from October 2021 to July 2023, a phase of relative stabilization between October 2023 and April 2024 where the processing period fluctuated minimally between 57 and 58 days, and a final phase of accelerated deterioration starting in July 2025. The most rapid increase in the processing period occurred between January 2026 and July 2026, coinciding with the lowest recorded turnover ratios.

Average Receivable Collection Period

Cisco Systems Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

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

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a fluctuating but generally stable efficiency in the collection of accounts receivable over the observed period.

Receivables Turnover Trends
The turnover ratio exhibits notable volatility, ranging from a minimum of 7.79 in July 2022 to a peak of 12.01 in October 2023. A period of heightened operational efficiency was observed between October 2023 and January 2024, during which the ratio remained consistently above 11.0. Subsequent periods show a return to a more erratic pattern, with turnover dropping to 8.05 in July 2024 before reaching another peak of 11.95 in October 2025.
Average Receivable Collection Period
The average collection period fluctuates between 30 and 47 days. A significant improvement in credit collection efficiency occurred between October 2022 and January 2024, as the collection cycle contracted from 38 days to a minimum of 30 days. Following this optimization, the collection period entered a phase of increased instability, characterized by sharp spikes to 45 days in April 2024 and 43 days in July 2025 and July 2026.
Cyclical Performance Observations
A recurring seasonal pattern is evident in the July quarterly data, which consistently aligns with the longest collection periods (47, 45, and 43 days) and the lowest turnover ratios. This consistent trend suggests a periodic slowing of receivable collections or a cyclical adjustment in payment terms occurring during the third quarter of the year.

Operating Cycle

Cisco Systems Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data
Average inventory processing period
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

1 Q4 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The overall operating cycle exhibits a significant upward trend over the analyzed period, expanding from 74 days in October 2021 to 136 days by July 2026. This expansion indicates a lengthening of the time required to convert investments in inventory back into cash through the collection of receivables.

Average Inventory Processing Period
A sustained long-term increase is observed in the time required to process inventory. Starting at 36 days in October 2021, the period climbed steadily to 63 days by July 2023. Although a period of relative stabilization and slight decline occurred between October 2023 and April 2025, the metric experienced a sharp acceleration in the final quarters, reaching a peak of 93 days by July 2026. This trend suggests a notable decrease in inventory turnover efficiency over the five-year span.
Average Receivable Collection Period
The collection period demonstrates periodic volatility without a definitive linear trend. The duration fluctuated between a minimum of 30 days and a maximum of 47 days. While specific spikes are evident—most notably in July 2022, April 2024, and July 2025—the collection period generally remained within a consistent range, indicating that the company's ability to collect payments from customers remained relatively stable compared to inventory management.
Operating Cycle Drivers
The expansion of the total operating cycle is primarily driven by the deterioration of the inventory processing period. The correlation between the operating cycle and inventory hold times is strong; the most substantial increases in the overall cycle coincide directly with the rises in inventory processing days. By the end of the analyzed period, the inventory component became the dominant factor in the cycle's duration, as the receivable collection period did not experience a proportional increase.

Average Payables Payment Period

Cisco Systems Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data
Payables turnover
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

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 ratios reveals a distinct two-phase cycle in the management of accounts payable between October 2021 and July 2026. The data indicates an initial period of accelerating supplier payments followed by a prolonged trend of extending payment terms.

Payables Turnover Trends
The payables turnover ratio exhibited a general upward trajectory from 8.15 in October 2021, peaking at 11.08 in January 2024. This increase indicates a higher frequency of settling obligations with suppliers. Following this peak, a consistent decline occurred, with the ratio dropping to 6.67 by July 2026, the lowest level recorded during the analyzed period.
Average Payables Payment Period Analysis
The average payment period moved in inverse correlation with the turnover ratio. Starting at 45 days in October 2021, the period contracted to a minimum of 33 days by January 2024. Subsequently, the duration of the payment cycle expanded steadily, rising from 38 days in April 2024 to a peak of 55 days by July 2026. This represents an increase of 22 days in the time taken to satisfy payables compared to the January 2024 low.
Operational and Liquidity Insights
The shift from a condensed payment cycle (33 days) to an extended one (55 days) suggests a strategic change in working capital management. The extension of the payables period typically indicates an effort to optimize cash flow by retaining liquidity for a longer duration, which may reflect changes in supplier credit terms or a tactical decision to preserve cash reserves.

Cash Conversion Cycle

Cisco Systems Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Jul 25, 2026 Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021
Selected Financial Data
Average inventory processing period
Average receivable collection period
Average payables payment period
Short-term Activity Ratio
Cash conversion cycle1
Benchmarks
Cash Conversion Cycle, Competitors2
Apple Inc.
Arista Networks Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-K (reporting date: 2026-07-25), 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30).

1 Q4 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


The operational efficiency regarding working capital has experienced a notable decline over the analyzed period, characterized by a significant expansion of the cash conversion cycle. The transition from a 29-day cycle in October 2021 to an 81-day cycle by July 2026 indicates a slower turnaround of cash from investments in inventory to realized cash from sales.

Average Inventory Processing Period
A sustained upward trajectory is evident in the time required to process inventory. Starting at 36 days, the period grew steadily, reaching 63 days by July 2023. Following a temporary moderation to 53 days in January 2025, a sharp increase occurred, culminating in a peak of 93 days by July 2026. This suggests a substantial accumulation of inventory or a decrease in turnover velocity.
Average Receivable Collection Period
The collection of receivables has remained relatively stable yet volatile, fluctuating within a range of 30 to 47 days. A period of peak efficiency was observed between October 2023 and January 2024, with the period dropping to 30-31 days. However, the cycle ended with a slight increase to 43 days by July 2026, indicating a minor regression in collection speed.
Average Payables Payment Period
Payment terms to suppliers exhibited a non-linear trend. An initial range of 40-45 days shifted toward a contraction, reaching a low of 33 days in January 2024. In the final quarters of the period, there was a consistent extension of the payment window, rising to 55 days by July 2026. This movement suggests a strategic attempt to preserve cash by delaying payments to creditors.
Cash Conversion Cycle
The overall cash conversion cycle expanded from 29 days to 81 days. The primary driver of this expansion was the dramatic increase in the inventory processing period, which far outweighed the mitigating effects of the extended payables payment period. The widening cycle indicates reduced liquidity and an increased requirement for working capital to maintain operational activity.