Stock Analysis on Net

Intel Corp. (NASDAQ:INTC)

$24.99

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

Intel Corp., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
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
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-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).


Operational efficiency exhibited a period of significant optimization between 2022 and mid-2025, characterized by accelerated receivables collection and a strategic extension of payables. However, the data indicates a sharp reversal of these trends in the final quarters, culminating in a return to less efficient liquidity metrics by March 2026.

Inventory Management
Inventory turnover remained relatively stable throughout the period, fluctuating between 2.68 and 3.28. The average inventory processing period mirrored this stability, generally hovering between 120 and 135 days. A peak in efficiency was noted in June 2025, where the processing period dropped to its lowest point of 111 days, before returning to 131 days by March 2026.
Receivables and Collection Efficiency
A strong positive trend in receivables turnover was observed from April 2022 (10.98) through June 2025, where it reached a peak of 22.49. This improvement is reflected in the average receivable collection period, which decreased from 33 days to a low of 16 days in June 2025. Subsequently, collection efficiency deteriorated, with the period extending back to 28 days by the end of the analyzed timeframe.
Payables and Credit Strategy
The payables turnover ratio showed a consistent decline from 4.92 in early 2022 to a low of 2.85 in December 2024, indicating a strategic shift toward extending payment terms. The average payables payment period increased accordingly, peaking at 128 days in December 2024. This trend reversed abruptly in March 2026, with the payment period contracting sharply to 75 days and the turnover ratio spiking to 4.85.
Operating Cycle and Cash Conversion
The operating cycle remained largely range-bound between 127 and 165 days, showing less volatility than the payment side of the ledger. The cash conversion cycle (CCC) demonstrated the most significant volatility, improving from 82 days in April 2022 to a low of 21 days in December 2024. This improvement was primarily driven by the extension of the payables payment period. However, the CCC spiked to 84 days by March 2026, effectively erasing the gains made over the previous three years.
Working Capital Utilization
Working capital turnover exhibited extreme volatility, rising from 2.34 in April 2022 to a peak of 6.31 in June 2025. This suggests a period of highly efficient asset utilization relative to revenue generation. Following this peak, a steep decline occurred, with the ratio falling to 1.52 by March 2026, signaling a significant reduction in the efficiency of working capital deployment.

Turnover Ratios


Average No. Days


Inventory Turnover

Intel Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
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
Selected Financial Data (US$ in millions)
Cost of sales
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 2026 Calculation
Inventory turnover = (Cost of salesQ1 2026 + Cost of salesQ4 2025 + Cost of salesQ3 2025 + Cost of salesQ2 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of inventory turnover indicates a period of volatility followed by a return to a stabilized range, reflecting fluctuations in the efficiency of inventory management relative to the cost of sales.

Inventory Turnover Trends
A gradual decline in efficiency was observed from April 2022, where the ratio stood at 2.97, reaching a low of 2.68 by April 1, 2023. This contraction in the turnover ratio coincided with an increase in inventory levels, which peaked at 13,224 million US dollars in December 2022, outpacing the movements in the cost of sales.
Recovery and Stabilization Phase
Starting in mid-2023, a recovery trend emerged as inventory levels were systematically reduced, reaching 11,127 million US dollars by December 30, 2023. This reduction in stockpiles, combined with steady cost of sales, improved the turnover ratio to 2.92 by the end of 2023 and maintained it within a consistent range of 2.81 to 2.95 throughout the majority of 2024.
Operational Volatility and Peak Efficiency
A significant increase in the cost of sales was recorded in September 2024, peaking at 11,287 million US dollars. Subsequent adjustments in inventory management resulted in a peak turnover ratio of 3.28 in June 2025, representing the highest operational efficiency in the analyzed period. This peak was followed by a correction, with the ratio declining to 2.79 by March 28, 2026, as inventory levels rose to 12,426 million US dollars.

Receivables Turnover

Intel Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
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
Selected Financial Data (US$ in millions)
Net revenue
Accounts receivable, net
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 2026 Calculation
Receivables turnover = (Net revenueQ1 2026 + Net revenueQ4 2025 + Net revenueQ3 2025 + Net revenueQ2 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a significant evolution in receivables management between April 2022 and March 2026. A general shift toward higher turnover efficiency is observed during the first half of the period, followed by a notable decline in the final quarters.

Receivables Turnover Trend and Efficiency
The receivables turnover ratio experienced substantial growth from an initial value of 10.98 in April 2022, reaching a peak of 22.49 in June 2025. This upward trajectory indicates an improvement in the speed at which outstanding credit is converted into cash, reflecting more aggressive collection strategies or a shift toward shorter payment terms.
Correlation with Accounts Receivable Levels
The increase in turnover efficiency is closely tied to a significant reduction in net accounts receivable. Balance levels dropped from 7.07 billion USD in early 2022 to a low of 2.36 billion USD by June 2025. The inverse relationship between the declining receivable balance and the rising turnover ratio suggests a concerted effort to minimize outstanding credit exposure.
Recent Performance Deterioration
A downward trend emerged in the latter portion of the analysis period. From the peak in June 2025, the turnover ratio declined steadily to 13.22 by March 2026. This decline is attributed to a rise in accounts receivable, which climbed from 2.36 billion USD to 4.06 billion USD, while net revenue remained relatively stagnant, suggesting a potential slowdown in collection velocity or an increase in extended credit to customers.
Revenue Impact on Turnover
Net revenue exhibited volatility, decreasing from 18.35 billion USD in April 2022 to approximately 12.7 billion USD in early 2024, before stabilizing between 12.6 billion and 14.2 billion USD. Despite these revenue fluctuations, the turnover ratio remained elevated throughout 2023 and 2024, indicating that the efficiency of the collection process was maintained independently of total sales volume during that interval.

Payables Turnover

Intel Corp., payables turnover calculation (quarterly data)

Microsoft Excel
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
Selected Financial Data (US$ in millions)
Cost of sales
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 2026 Calculation
Payables turnover = (Cost of salesQ1 2026 + Cost of salesQ4 2025 + Cost of salesQ3 2025 + Cost of salesQ2 2025) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The payables turnover ratio exhibits a cyclical pattern characterized by an initial period of high velocity, a prolonged decline reaching a nadir in late 2024, and a subsequent recovery by early 2026.

Analysis of Turnover Trends
Between April 2022 and October 2022, the payables turnover ratio remained relatively high, peaking at 5.21. Following this period, a sustained downward trend is observed, with the ratio declining to 3.77 by December 2022 and continuing to erode over the next two years. The ratio reached its lowest point of 2.85 in December 2024, indicating a significant slowing in the frequency with which supplier obligations were settled.
Correlation with Accounts Payable and Cost of Sales
The contraction in turnover is closely linked to a substantial expansion of accounts payable. While cost of sales remained relatively volatile—peaking at 11,287 million USD in September 2024—accounts payable grew more aggressively, rising from 7,210 million USD in April 2022 to a maximum of 12,556 million USD in December 2024. This divergence suggests a strategic extension of payment terms or a buildup of short-term liabilities to manage working capital.
Recent Recovery and Liquidation
A reversal in the trend began in March 2025, with the turnover ratio stabilizing between 3.33 and 3.49 throughout most of the year. A sharp increase in turnover to 4.85 occurred in March 2026. This spike is driven by a dramatic reduction in accounts payable, which fell to 7,159 million USD, reflecting a rapid liquidation of outstanding payables and a return to a payment cycle similar to that observed in early 2022.

Working Capital Turnover

Intel Corp., working capital turnover calculation (quarterly data)

Microsoft Excel
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
Selected Financial Data (US$ in millions)
Current assets
Less: Current liabilities
Working capital
 
Net revenue
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 2026 Calculation
Working capital turnover = (Net revenueQ1 2026 + Net revenueQ4 2025 + Net revenueQ3 2025 + Net revenueQ2 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of working capital turnover reveals three distinct phases of operational liquidity and efficiency between April 2022 and March 2026. The overall trend is characterized by a significant fluctuation in working capital that inversely drove the turnover ratio, as net revenue remained relatively stable over the same period.

Working Capital Volatility
A sustained downward trend in working capital was observed from April 2022, starting at 33,246 million USD and reaching a trough of 8,409 million USD by June 2025. Following this low point, a rapid and substantial expansion occurred, with working capital increasing to 35,272 million USD by March 2026, representing a return to and exceedance of the initial 2022 levels.
Revenue Stability
Net revenue showed a general tendency toward stability after an initial decline from 18,353 million USD in April 2022. Between 2023 and 2026, revenue largely fluctuated within a narrow band between approximately 12,600 million USD and 15,400 million USD. This stability indicates that the changes in the turnover ratio were primarily a function of changes in the capital base rather than growth in sales volume.
Working Capital Turnover Trends
The turnover ratio exhibited a sharp increase during the period of working capital contraction, peaking at 6.31 in June 2025. This peak suggests a period of high theoretical efficiency or a lean liquidity position where minimal working capital was required to support existing revenue streams. Conversely, as working capital surged in late 2025 and early 2026, the turnover ratio collapsed, reaching a period low of 1.52 by March 2026.

The evidence suggests an aggressive reduction in working capital through mid-2025, which mathematically inflated the turnover ratio. However, the subsequent sharp increase in working capital coupled with stagnant revenue led to a significant decline in capital efficiency toward the end of the analyzed period.


Average Inventory Processing Period

Intel Corp., average inventory processing period calculation (quarterly data)

Microsoft Excel
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
Selected Financial Data
Inventory turnover
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of inventory management efficiency reveals a fluctuating trend in both inventory turnover and the average inventory processing period between April 2022 and March 2026, characterized by a period of decline, a recovery phase, and a subsequent regression.

Inventory Turnover Trends
A downward trend in inventory turnover was observed from April 2022 (2.97) through April 2023, where the ratio reached a minimum of 2.68. A recovery phase followed, with the turnover ratio steadily increasing to a peak of 3.28 in June 2025. This efficiency gain was short-lived, as the ratio declined again in the final three quarters, ending at 2.79 in March 2026.
Average Inventory Processing Period
The inventory processing period exhibited an inverse correlation with turnover ratios. Processing time increased from 123 days in April 2022 to a peak of 136 days in April 2023. Subsequently, a consistent reduction in processing time was observed, reaching a low of 111 days in June 2025. By March 2026, the processing period had extended back to 131 days, indicating a slowdown in inventory movement.
Operational Efficiency Insights
The period between mid-2023 and mid-2025 represents the highest level of operational efficiency in inventory throughput, marked by the lowest processing duration. The subsequent increase in the processing period from 111 days in June 2025 to 131 days in March 2026 suggests a potential buildup of unsold stock or a decrease in the velocity of inventory conversion relative to the preceding two years.

Average Receivable Collection Period

Intel Corp., average receivable collection period calculation (quarterly data)

Microsoft Excel
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
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of receivables management reveals three distinct phases of operational efficiency regarding the collection of outstanding payments between April 2022 and March 2026.

Initial Volatility and Peak Collection Time
Between April 2022 and December 2022, the average receivable collection period exhibited significant variance, peaking at 39 days in October 2022. This peak coincided with the lowest receivables turnover ratio in the initial period (9.31), indicating a temporary deceleration in the conversion of receivables into cash during the latter half of 2022.
Sustained Efficiency Gains
From April 2023 through June 2025, a consistent trend of improving collection efficiency is observed. The collection period generally trended downward, reaching a historical minimum of 16 days in June 2025. This peak in operational efficiency is mirrored by the highest recorded receivables turnover ratio of 22.49, suggesting optimized credit control or the implementation of more stringent payment terms.
Recent Trend Reversal
Starting in September 2025, a steady increase in the average collection period is evident, rising from 22 days to 28 days by March 2026. This upward trend is accompanied by a decline in the receivables turnover ratio from 16.69 to 13.22. This reversal indicates a recent weakening in the speed of collections or a potential shift in the customer payment profile toward longer credit terms.

Operating Cycle

Intel Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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
Selected Financial Data
Average inventory processing period
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibits a fluctuating pattern over the observed period, characterized by a strong correlation between inventory management efficiency and the overall cycle duration. While a notable contraction in the cycle occurred during mid-2025, the metric returned to baseline levels by the first quarter of 2026.

Average Inventory Processing Period
Inventory processing times showed an initial upward trend, peaking at 136 days on April 1, 2023. This was followed by a period of relative stability where values fluctuated between 124 and 130 days. A significant efficiency gain was observed on June 28, 2025, when the period dropped to a minimum of 111 days. However, this improvement was not sustained, as the period increased back to 131 days by March 28, 2026, indicating a return to previous turnover norms.
Average Receivable Collection Period
The collection period demonstrated a general trend of compression and stabilization. After reaching a peak of 39 days in October 2022, the metric largely remained within the 20-to-25-day range for several consecutive quarters. A sharp decline to 16 days occurred on June 28, 2025, marking the highest level of collection efficiency in the dataset. Following this low, a gradual increase was observed, with the period reaching 28 days by March 28, 2026.
Operating Cycle Analysis
The total operating cycle is heavily dominated by the inventory processing period, which constitutes the vast majority of the cycle's duration. The cycle peaked at 165 days in October 2022 and reached its lowest point of 127 days in June 2025. The subsequent rise to 159 days by March 2026 suggests that the operational rhythm has reverted to its historical average, with the mid-2025 dip representing a temporary optimization of both inventory and receivable management.

Average Payables Payment Period

Intel Corp., average payables payment period calculation (quarterly data)

Microsoft Excel
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
Selected Financial Data
Payables turnover
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 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 significant expansion and subsequent contraction of the average payables payment period and a corresponding fluctuation in the payables turnover ratio over the observed timeframe.

Payables Turnover Trends
A general downward trajectory is observed in the payables turnover ratio from April 2022 through late 2024. Starting at 4.92, the ratio declined to a minimum of 2.85 by December 2024, indicating a decrease in the frequency with which supplier obligations were settled. This trend reversed sharply in the final period, with the ratio rising to 4.85 by March 2026.
Average Payables Payment Period Dynamics
The duration required to settle payables exhibited a sustained increase during the first three years of the period. From an initial 74 days in April 2022, the payment period expanded to a peak of 128 days by December 2024. This expansion suggests a strategic extension of payment terms or a decrease in liquidity available for immediate supplier settlements, effectively increasing the company's reliance on supplier financing.
Stabilization and Normalization Phases
Throughout 2025, the payment period entered a phase of relative stabilization, fluctuating within a narrow range between 104 and 109 days. This period of consistency was followed by a rapid normalization in March 2026, where the payment period dropped sharply to 75 days. This sudden reduction aligns with the spike in payables turnover, signaling a swift acceleration in the settlement of short-term liabilities.

Cash Conversion Cycle

Intel Corp., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
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
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
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).

1 Q1 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 cash conversion cycle exhibited significant volatility over the analyzed period, characterized by a prolonged downward trend that reached a minimum of 21 days in December 2024, followed by a sharp increase to 84 days by March 2026. This fluctuation indicates a substantial shift in working capital management strategies, primarily driven by changes in payment terms to suppliers rather than fundamental shifts in inventory or receivables efficiency.

Average Inventory Processing Period
Inventory turnover remained relatively stable but high, generally fluctuating between 111 and 136 days. A peak was observed in April 2023 at 136 days, with a subsequent low of 111 days in June 2025. The period ended with a slight upward trend, reaching 131 days in March 2026, suggesting that inventory management remained a consistent component of the operating cycle without drastic optimization.
Average Receivable Collection Period
The collection of receivables demonstrated consistent efficiency, maintaining a narrow range between 16 and 39 days. The shortest collection period of 16 days occurred in June 2025. By the end of the observed period, the collection cycle settled at 28 days, indicating that the company maintained a disciplined approach to credit management and cash inflows from customers.
Average Payables Payment Period
The most significant variance occurred within the payables payment period, which acted as the primary driver for the overall cash conversion cycle. Starting at 74 days in April 2022, the period extended progressively, peaking at 128 days in December 2024. This suggests a strategic effort to preserve cash by delaying payments to vendors. However, a rapid contraction occurred in early 2026, with the period dropping sharply to 75 days by March 2026.
Cash Conversion Cycle Synthesis
The reduction of the cash conversion cycle from 82 days to 21 days between 2022 and late 2024 was not the result of faster inventory turnover or quicker collections, but rather the result of extending payables. The sudden surge in the cycle back to 84 days in March 2026 is directly attributable to the collapse of the payables payment period, which neutralized the previous working capital advantages and returned the cycle to its initial levels.