Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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- Balance Sheet: Assets
- Common-Size Income Statement
- Analysis of Profitability Ratios
- DuPont Analysis: Disaggregation of ROE, ROA, and Net Profit Margin
- Price to FCFE (P/FCFE)
- Operating Profit Margin since 2015
- Return on Equity (ROE) since 2015
- Debt to Equity since 2015
- Total Asset Turnover since 2015
- Aggregate Accruals
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Short-term Activity Ratios (Summary)
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
The operational efficiency of the company exhibits a notable trend of slowing inventory movement and a strategic extension of supplier payment terms, which has collectively influenced the cash conversion cycle over the analyzed period.
- Inventory Management Efficiency
- A significant downward trend in inventory turnover is observed, declining from 4.19 in October 2021 to a low of 2.16 by December 2023, before stabilizing between 2.3 and 2.6. This contraction is mirrored in the average inventory processing period, which expanded from 87 days to a peak of 169 days in December 2023, ending the period at 150 days. This suggests a substantial increase in the time required to convert raw materials and work-in-progress into finished goods and sales.
- Receivables Collection Performance
- Receivables turnover remained relatively volatile but stable within a range of 5.20 to 7.18. The average receivable collection period fluctuated between 51 and 70 days, with no singular long-term upward or downward trajectory. This indicates that the company has maintained a consistent approach to credit management and collection efficiency despite changes in inventory velocity.
- Payables and Supplier Terms
- A pronounced shift in payables management is evident. The payables turnover ratio decreased from 8.53 in October 2021 to 2.96 by June 2026. Consequently, the average payables payment period extended significantly from 43 days to 123 days. This trend suggests a strategic decision to delay payments to suppliers, effectively using trade credit as a source of short-term financing.
- Operating and Cash Conversion Cycles
- The operating cycle, driven primarily by slower inventory turnover, increased from 142 days in October 2021 to a peak of 232 days in December 2023, eventually settling at 213 days. However, the cash conversion cycle reflects the offsetting effect of extended payables. While the cash conversion cycle peaked at 174 days in December 2023, it trended downward to 90 days by June 2026, returning to levels similar to those seen at the start of the analysis period.
- Working Capital Utilization
- Working capital turnover remained generally stable, fluctuating mostly between 0.75 and 1.24. An atypical spike to 4.69 occurred in March 2026, followed by a correction to 1.79 in June 2026, suggesting a temporary and significant shift in the relationship between net working capital and annual revenue during that window.
Turnover Ratios
Average No. Days
Inventory Turnover
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Cost of sales | ||||||||||||||||||||||||||
| Inventories | ||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Inventory turnover1 | ||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
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.
A significant downward trend in inventory turnover efficiency is observed over the analyzed period, with the ratio declining from a peak of 4.19 in October 2021 to 2.43 by June 2026. This decline indicates a slowing rate of inventory conversion into sales, reflecting a shift in the balance between stock accumulation and the cost of goods sold.
- Inventory Accumulation Patterns
- Inventory levels exhibited sustained growth, increasing from 207 million US dollars in October 2021 to 691.6 million US dollars by June 2026. A period of rapid acceleration occurred between July 2022 and December 2023, where holdings more than doubled. Although there was a temporary contraction in early 2024, inventory levels surged again throughout 2025 and 2026, suggesting an aggressive stocking strategy or a buildup of unsold components.
- Cost of Sales Dynamics
- The cost of sales followed a general upward trajectory, rising from 200.4 million US dollars in October 2021 to 509.8 million US dollars in June 2026. While the volume of sales increased substantially, the growth rate of inventory holdings outpaced the growth in sales costs, which contributed to the compression of the turnover ratio.
- Inventory Turnover Phases
- The analysis reveals three distinct phases in operating efficiency. First, a period of rapid deterioration occurred from October 2021 to October 2022, where the ratio fell from 4.19 to 2.58. Second, a phase of relative stabilization took place between 2023 and 2024, with the ratio fluctuating within a narrow band between 2.16 and 2.82. Third, a final phase of low-level equilibrium is evident from 2025 through June 2026, with the ratio remaining stagnant between 2.26 and 2.43 despite the significant increase in total cost of sales.
The divergence between the sharp increase in inventory assets and the more moderate increase in sales costs suggests a decrease in operational efficiency regarding asset utilization. The company transitioned from a high-velocity inventory model to one characterized by significantly larger holdings and slower turnover cycles.
Receivables Turnover
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Net revenue | ||||||||||||||||||||||||||
| Accounts receivable, net | ||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Receivables turnover1 | ||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
1 Q4 2026 Calculation
Receivables turnover
= (Net revenueQ4 2026
+ Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The receivables turnover ratio exhibits significant volatility over the analyzed period, characterized by an initial phase of stability, a mid-term period of fluctuation, and a subsequent decline during a phase of aggressive revenue growth. While net revenue experiences a substantial increase toward the end of the period, the efficiency of receivable collections does not scale proportionally, leading to a general softening of the turnover ratio.
- Initial Performance and Volatility (2021-2022)
- During the early stages of the analysis, the receivables turnover remained relatively high, peaking at 7.14 in January 2022. However, a notable decline occurred in October 2022, where the ratio dropped to 5.20. This downturn coincided with a peak in net accounts receivable of 340.5 million USD, indicating a temporary slowdown in the conversion of credit sales into cash.
- Mid-Term Recovery and Fluctuation (2023-2024)
- A recovery in collection efficiency was observed throughout much of 2023, with the ratio returning to levels above 7.0 between July and September. This efficiency trend reversed toward the end of 2023 and early 2024, falling to 5.79 in December 2023. A subsequent stabilization occurred in mid-2024, with the ratio hovering between 6.19 and 6.98, reflecting a period of relative consistency in credit management despite fluctuating revenue levels.
- Rapid Expansion and Efficiency Decay (2025-2026)
- From December 2024 through June 2026, a stark divergence is observed between revenue growth and receivable turnover. While net revenue surged from 402.2 million USD to over 1 billion USD, the receivables turnover ratio followed a gradual downward trajectory, moving from 6.23 to 5.79. This pattern suggests that accounts receivable are growing at a faster rate than sales, which may indicate the extension of more lenient credit terms to support higher sales volumes or a decrease in the overall speed of collections during the scale-up phase.
Payables Turnover
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Cost of sales | ||||||||||||||||||||||||||
| Accounts payable | ||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Payables turnover1 | ||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
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 analysis of payables turnover reveals a significant shift in the management of supplier obligations, characterized by an overall reduction in the frequency with which accounts payable are settled over the observed period.
- Initial Decline and Stabilization (2021-2022)
- The payables turnover ratio experienced a steady decrease from 8.53 in October 2021 to a low of 4.59 by October 2022. This period coincided with a substantial increase in accounts payable, which rose from 101.6 million to 205.7 million, indicating a slowing of payment cycles during this phase.
- Recovery and Efficiency Peak (2023-Early 2024)
- A reversal of the downward trend occurred starting in April 2023, with the ratio climbing back to a peak of 8.11 by June 2024. This improvement was driven primarily by a reduction in accounts payable balances, which dropped to a period low of 126.3 million in June 2024, suggesting a more rapid settlement of supplier obligations.
- Accelerated Slowdown (Late 2024-2026)
- From September 2024 onward, the turnover ratio entered a steep and continuous decline, falling from 6.36 to a period low of 2.96 by June 2026. This contraction is attributed to a disproportionate increase in accounts payable relative to the cost of sales. While the cost of sales grew from 236.5 million in June 2024 to 509.8 million in June 2026, accounts payable expanded more aggressively, rising from 126.3 million to 567.4 million during the same interval.
- Working Capital Implications
- The current trajectory suggests a strategic shift toward extending payment terms with suppliers or an increasing reliance on trade credit to support expanding operations. The decline of the ratio to 2.96 indicates that the company is taking significantly longer to pay its creditors than in previous years, which may improve short-term cash liquidity but could potentially impact supplier relationships if the trend persists.
Working Capital Turnover
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Current assets | ||||||||||||||||||||||||||
| Less: Current liabilities | ||||||||||||||||||||||||||
| Working capital | ||||||||||||||||||||||||||
| Net revenue | ||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Working capital turnover1 | ||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
1 Q4 2026 Calculation
Working capital turnover
= (Net revenueQ4 2026
+ Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of working capital turnover reveals three distinct phases: a period of relative stability with moderate efficiency, a phase of extreme volatility characterized by a contraction of working capital, and a subsequent period of rapid revenue expansion coupled with working capital recovery.
- Working Capital Trends
- Working capital exhibited a general decline from a peak of 2,439,900 thousand US$ in April 2022 to a baseline of approximately 1.3 billion US$ between December 2023 and March 2025. A significant anomaly occurred in late 2025, where working capital dropped sharply to 559,400 thousand US$ in September and became negative, reaching -1,484,400 thousand US$ in December 2025. A recovery followed in the first half of 2026, returning to 1,681,400 thousand US$ by June 2026.
- Net Revenue Performance
- Net revenue remained relatively range-bound between 308,300 thousand US$ and 506,800 thousand US$ from October 2021 through December 2024. Starting in early 2025, a strong upward trajectory is observed, with revenue accelerating from 425,200 thousand US$ in December 2024 to 1,006,300 thousand US$ by June 2026, representing a significant increase in top-line growth.
- Working Capital Turnover Analysis
- For the majority of the observed period, the turnover ratio fluctuated between 0.69 and 1.24, indicating a consistent relationship between operating liquidity and revenue generation. However, the ratio spiked abnormally to 3.29 in September 2025 and 4.69 in March 2026. These spikes are primarily attributed to the precipitous decline and temporary negative state of working capital rather than revenue growth alone. By June 2026, the ratio settled at 1.79, suggesting an improvement in operational efficiency as the company managed significantly higher revenue levels with a working capital base similar to previous years.
Average Inventory Processing Period
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 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. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
An analysis of the short-term operating activity ratios reveals a marked decline in inventory efficiency from late 2021 through 2023, followed by a period of relative stabilization. The inverse relationship between inventory turnover and the average inventory processing period remains consistent across all reporting intervals, reflecting a significant shift in operational velocity.
- Inventory Turnover Trends
- A sustained downward trajectory is observed starting from a peak of 4.19 in October 2021, reaching a minimum of 2.16 by December 2023. From March 2024 through June 2026, the ratio entered a phase of stabilization, fluctuating within a narrow corridor between 2.33 and 2.58. This indicates that the frequency of inventory replacement has decreased and settled at a lower baseline compared to the 2021 period.
- Average Inventory Processing Period Analysis
- The duration required to process inventory increased steadily from 87 days in October 2021 to a peak of 169 days in December 2023. Following this peak, the processing period showed moderate volatility but remained elevated, staying predominantly above 140 days. The period concluded at 150 days in June 2026, representing a substantial increase in the average time inventory is held before being converted into sales.
- Operational Efficiency Insights
- The data suggests a deterioration in inventory management efficiency between October 2021 and December 2023, characterized by a near-doubling of the processing period. The subsequent stabilization from 2024 onward indicates the adoption of a new operational equilibrium. The persistent gap between the 2021 efficiency levels and the 2024-2026 levels suggests a structural change in inventory holdings or a fundamental shift in demand patterns.
Average Receivable Collection Period
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 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. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
1 Q4 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of the average receivable collection period reveals a cyclical pattern of fluctuations in credit recovery efficiency, characterized by periods of optimization followed by gradual extensions in the time required to convert receivables into cash.
- Historical Volatility and Peak Collection Times
- The collection period remained relatively stable between 51 and 56 days from October 2021 through July 2022. However, a significant spike occurred in October 2022, where the period reached its maximum of 70 days. This peak coincided with the lowest observed receivables turnover ratio of 5.20, indicating a temporary deceleration in the company's ability to collect outstanding payments.
- Efficiency Optimization Phase
- A notable improvement in collection efficiency was observed between April 2023 and September 2023, during which the collection period dropped back to 51 days. This phase represents the highest level of operational efficiency in receivable management within the analyzed timeframe, aligning with a peak receivables turnover ratio of 7.18.
- Recent Trends and Baseline Shifts
- Starting in late 2024, a new trend emerged characterized by a higher baseline for the collection period. From September 2024 through June 2026, the period shifted from the 50-day range to a higher range of 55 to 65 days. The data shows a sustained increase, peaking at 65 days in late 2025 and stabilizing around 63 days by June 2026.
- Correlation Between Turnover and Collection Period
- A consistent inverse correlation is maintained throughout the period; as the receivables turnover ratio declines, the average collection period increases. The transition from a turnover ratio of 6.98 in June 2024 to 5.79 in June 2026 mirrors the extension of the collection period from 52 days to 63 days, suggesting a systemic shift in credit terms or a slowing of customer payment behavior.
Operating Cycle
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 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. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
1 Q4 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The operating cycle exhibits a pronounced upward trend over the analyzed period, indicating a significant lengthening of the time required to convert investments in inventory back into cash. This expansion is primarily driven by a substantial increase in inventory hold times, whereas the time taken to collect receivables has remained relatively stable by comparison.
- Average Inventory Processing Period
- A sustained increase in the inventory processing period is observed, rising from 87 days in October 2021 to a peak of 169 days in December 2023. Although a temporary reduction to 142 days occurred between June and September 2024, the period trended upward again, reaching 162 days by September 2025 before settling at 150 days in June 2026. This trend indicates a slower turnover of goods and a greater amount of working capital tied up in inventory.
- Average Receivable Collection Period
- The receivable collection period demonstrates comparatively low volatility, generally fluctuating between 51 and 70 days. A peak of 70 days was recorded in October 2022, followed by a period of stabilization around 51 to 59 days throughout 2023 and 2024. A marginal upward shift is evident in the final stages of the period, with values consistently ranging between 63 and 65 days from December 2025 through June 2026.
- Operating Cycle Synthesis
- The total operating cycle expanded from 142 days in October 2021 to 213 days by June 2026. The most aggressive growth occurred between July 2022 (162 days) and December 2023 (232 days). Because the receivable collection period remained relatively constant, the lengthening of the total operating cycle is almost exclusively attributable to the deterioration in inventory processing efficiency.
Average Payables Payment Period
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 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. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
1 Q4 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of the short-term operating activity indicates a cyclical and ultimately expanding trend in the time required to settle obligations with suppliers. The average payables payment period exhibits three distinct phases: an initial expansion, a period of contraction and stabilization, and a final, significant acceleration in the payment duration.
- Initial Expansion Phase (October 2021 – October 2022)
- During this period, the average payables payment period increased steadily from 43 days to a peak of 80 days. This trend is mirrored by a corresponding decline in the payables turnover ratio, which fell from 8.53 to 4.59, indicating a slowdown in the frequency with which accounts payable were settled.
- Contraction and Stabilization Phase (October 2022 – June 2024)
- A reversal in the trend occurred following October 2022, as the payment period generally decreased, reaching a low of 45 days by June 2024. The payables turnover ratio rose during this window, peaking at 8.11 in June 2024, suggesting an improvement in liquidity or a strategic decision to accelerate payments to vendors.
- Subsequent Extension Phase (June 2024 – June 2026)
- Starting in late 2024, there is a pronounced and sustained increase in the average payables payment period. The duration rose from 45 days in June 2024 to 123 days by June 2026. This represents the most significant extension of credit terms in the observed period, coinciding with a sharp drop in the payables turnover ratio to its lowest point of 2.96.
- Correlation Between Turnover and Payment Period
- A consistent inverse relationship is observed between the payables turnover ratio and the average payment period. As the turnover ratio declined toward the end of the series, the number of days to pay suppliers increased proportionally, indicating a significant shift in working capital management toward retaining cash for longer durations.
Cash Conversion Cycle
| Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Jan 1, 2022 | Oct 2, 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. | ||||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-K (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-K (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-K (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-Q (reporting date: 2022-01-01), 10-Q (reporting date: 2021-10-02).
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 of the company, as measured by the cash conversion cycle, exhibited significant volatility between late 2021 and mid-2026. After a period of relative stability, the cycle expanded considerably, peaking in December 2023 before entering a corrective phase. The recent reduction in the total cycle is primarily attributed to a strategic shift in payables management rather than improvements in inventory or receivable turnover.
- Average Inventory Processing Period
- A pronounced upward trend is observed in inventory holding times, increasing from 87 days in October 2021 to a peak of 169 days in December 2023. Although the period fluctuated between 142 and 162 days throughout 2024 and 2025, the duration remained significantly higher than the 2021 baseline. This indicates a persistent slowing of inventory turnover, which contributed heavily to the extension of the overall cash conversion cycle.
- Average Receivable Collection Period
- The collection of receivables remained relatively stable compared to other operating metrics. The period fluctuated within a range of 51 to 70 days, with a notable peak in October 2022. Throughout 2024 and 2025, the collection period generally hovered between 52 and 65 days, suggesting consistent credit management and a steady pace of cash inflows from customers.
- Average Payables Payment Period
- Payables management showed two distinct phases. From October 2021 to June 2024, the payment period was volatile, reaching as low as 45 days. However, starting in late 2024, a sharp and consistent increase is observed, with the period rising from 57 days in June 2024 to 123 days by June 2026. This extension suggests a strategic decision to delay payments to suppliers to preserve liquidity.
- Cash Conversion Cycle
- The total cash conversion cycle increased from 99 days in October 2021 to a maximum of 174 days in December 2023, reflecting a period of decreased liquidity efficiency driven by rising inventory levels. A subsequent downward trend occurred, with the cycle dropping to 90 days by June 2026. Analysis indicates that this improvement in the cycle was not driven by faster inventory turnover or quicker collections, but almost exclusively by the aggressive extension of the payables payment period.