Stock Analysis on Net

Qualcomm Inc. (NASDAQ:QCOM)

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 23, 2024 Mar 24, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Turnover Ratios
Inventory turnover
Payables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Less: Average payables payment period

Based on: 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-23), 10-Q (reporting date: 2024-03-24), 10-Q (reporting date: 2023-12-24), 10-K (reporting date: 2023-09-24), 10-Q (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-K (reporting date: 2022-09-25), 10-Q (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-K (reporting date: 2021-09-26), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).


An analysis of short-term operating activity reveals significant fluctuations in efficiency and liquidity management over the observed period, characterized by a decline in inventory velocity and a strategic shift in payables settlement.

Inventory Management Efficiency
Inventory turnover exhibited a consistent downward trend from December 2020 to September 2023, falling from 4.17 to a low of 2.47. This decline is directly reflected in the average inventory processing period, which expanded from 88 days to a peak of 148 days. A period of stabilization occurred between late 2023 and 2025, with the turnover ratio hovering around 3.02 and the processing period reducing to 121 days, although a slight increase in the processing period to 134 days is noted by March 2026.
Payables and Supplier Relations
A marked change in payables management is evident beginning in late 2022. The payables turnover ratio, which previously fluctuated between 4.28 and 5.19, spiked to 12.50 in March 2023. This shift resulted in a sharp contraction of the average payables payment period, which dropped from an initial 83 days to a minimum of 29 days. While the payment period subsequently widened, it remained consistently lower than pre-2023 levels, ranging between 44 and 57 days through March 2026, indicating a sustained acceleration in supplier payments.
Working Capital Utilization
Working capital turnover showed an initial upward trajectory, climbing from 2.53 in December 2020 to a peak of 5.88 in June 2022. This peak was followed by a steady decline throughout 2023, returning to a baseline range of 2.41 to 3.33. This suggests a period of heightened operational efficiency in utilizing working capital that eventually normalized to levels consistent with the start of the analyzed period.

Turnover Ratios


Average No. Days


Inventory Turnover

Qualcomm Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 23, 2024 Mar 24, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data (US$ in millions)
Cost of revenues
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-23), 10-Q (reporting date: 2024-03-24), 10-Q (reporting date: 2023-12-24), 10-K (reporting date: 2023-09-24), 10-Q (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-K (reporting date: 2022-09-25), 10-Q (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-K (reporting date: 2021-09-26), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q2 2026 Calculation
Inventory turnover = (Cost of revenuesQ2 2026 + Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025 + Cost of revenuesQ3 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The inventory turnover ratio experienced a period of significant volatility between late 2020 and early 2026, characterized by an initial high level of efficiency, a prolonged decline, a moderate recovery, and a final downturn.

Inventory Turnover Trend Analysis
From December 2020 to September 2021, the inventory turnover ratio remained relatively strong and stable, peaking at 4.42. However, a consistent downward trend emerged starting in December 2021, with the ratio declining every quarter until it reached a trough of 2.47 in September 2023. This represents a substantial reduction in the speed at which inventory was cycled through the business.
A period of gradual recovery followed between December 2023 and June 2025, during which the ratio improved from 2.58 to a plateau of 3.02. This recovery phase indicates an improvement in inventory management or a stronger alignment between production and demand. This stability persisted through September 2025, before a decline to 2.73 was recorded in March 2026.
Correlation Between Inventory Levels and Cost of Revenues
The decline in turnover between 2021 and 2023 was primarily driven by a rapid expansion of inventory holdings. Inventories grew from 3.86 billion USD in December 2021 to a peak of 6.93 billion USD in December 2022, far outpacing the growth in the cost of revenues. This suggests a period of significant inventory accumulation that negatively impacted turnover efficiency.
During the recovery phase from 2023 to early 2024, inventory levels were managed more aggressively, decreasing from 6.93 billion USD to approximately 6.02 billion USD. This reduction in stock, paired with a general increase in the cost of revenues, contributed to the upward movement of the turnover ratio.
The most recent downturn in March 2026 is attributable to a simultaneous increase in inventory to 7.37 billion USD and a decrease in the cost of revenues to 4.90 billion USD, indicating a renewed buildup of unsold goods relative to sales activity.

Payables Turnover

Qualcomm Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 23, 2024 Mar 24, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data (US$ in millions)
Cost of revenues
Trade accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-23), 10-Q (reporting date: 2024-03-24), 10-Q (reporting date: 2023-12-24), 10-K (reporting date: 2023-09-24), 10-Q (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-K (reporting date: 2022-09-25), 10-Q (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-K (reporting date: 2021-09-26), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q2 2026 Calculation
Payables turnover = (Cost of revenuesQ2 2026 + Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025 + Cost of revenuesQ3 2025) ÷ Trade accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of payables turnover reveals a significant shift in the management of short-term obligations, transitioning from a period of relative stability to a sharp spike in efficiency, followed by a stabilization at a higher turnover rate.

Initial Stability Phase (December 2020 – September 2022)
During this interval, the payables turnover ratio remained consistently low, fluctuating between 4.28 and 5.19. This period was characterized by a steady increase in trade accounts payable, which rose from 2,429 million USD to a peak of 3,796 million USD. The alignment between the growth in cost of revenues and the growth in payables suggests a consistent strategy of leveraging supplier credit to manage working capital.
Accelerated Settlement and Peak Turnover (December 2022 – March 2023)
A dramatic inflection point occurred between late 2022 and early 2023. The payables turnover ratio surged from 7.17 in December 2022 to a peak of 12.50 in March 2023. This spike was primarily driven by a substantial reduction in trade accounts payable, which fell from 2,562 million USD to 1,430 million USD within a single quarter. This indicates a rapid settlement of outstanding liabilities, significantly accelerating the cash outflow to suppliers.
Normalized High-Turnover Phase (June 2023 – March 2026)
Following the peak in March 2023, the ratio entered a new equilibrium, stabilizing within a range of 6.37 to 8.20. While trade accounts payable gradually recovered to levels between 2,300 million USD and 3,000 million USD, the turnover ratio remained notably higher than the 2020-2022 baseline. This suggests a structural change in payment behavior, with the company maintaining a faster cycle of paying its suppliers than in previous years.
Correlation Between Costs and Obligations
Despite fluctuations in the cost of revenues, which ranged from 3,404 million USD to 5,568 million USD over the period, the payables turnover did not mirror the volatility of expenses. Instead, the turnover movements were more closely linked to the strategic management of the trade accounts payable balance, particularly evident during the liquidity event of early 2023.

Working Capital Turnover

Qualcomm Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 23, 2024 Mar 24, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data (US$ in millions)
Current assets
Less: Current liabilities
Working capital
 
Revenues
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-23), 10-Q (reporting date: 2024-03-24), 10-Q (reporting date: 2023-12-24), 10-K (reporting date: 2023-09-24), 10-Q (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-K (reporting date: 2022-09-25), 10-Q (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-K (reporting date: 2021-09-26), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q2 2026 Calculation
Working capital turnover = (RevenuesQ2 2026 + RevenuesQ1 2026 + RevenuesQ4 2025 + RevenuesQ3 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of working capital turnover reveals a distinct cyclical pattern characterized by an initial phase of increasing operational efficiency, followed by a period of significant capital accumulation, and a recent trend toward stabilization.

Operational Efficiency Cycle (December 2020 – June 2022)
During this period, working capital decreased from 10,569 million USD to a low of 7,170 million USD, while revenues generally trended upward. This inverse relationship resulted in a substantial increase in the working capital turnover ratio, which peaked at 5.88 in June 2022. This indicates a period of high efficiency where fewer current assets were required to generate each dollar of revenue.
Capital Expansion and Turnover Compression (September 2022 – March 2024)
A reversal in the trend is observed starting in late 2022, as working capital began a steady climb from 8,858 million USD to 15,089 million USD by December 2023. Despite revenues remaining relatively stable within the 8,400 million to 11,400 million USD range, the rapid growth in working capital led to a consistent decline in the turnover ratio, which reached a trough of 2.41 in March 2024. This suggests a transition toward higher liquidity or an increase in short-term asset holdings that did not yield an immediate proportional increase in sales.
Stabilization and Recovery Phase (June 2024 – March 2026)
Working capital reached a maximum peak of 17,113 million USD in June 2025 before beginning a gradual decline to 13,345 million USD by March 2026. Simultaneously, the turnover ratio began to recover, rising from 2.75 in June 2024 to 3.33 by the end of the observed period. This recovery is attributed to the combination of rising revenues, which peaked at 12,252 million USD in September 2025, and a subsequent reduction in total working capital.

Overall, the data indicates that the company shifted from a lean operational model in early 2022 to a more capital-intensive short-term position through 2025, eventually returning to a trajectory of improved asset utilization by early 2026.


Average Inventory Processing Period

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

Microsoft Excel
Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 23, 2024 Mar 24, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
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.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-23), 10-Q (reporting date: 2024-03-24), 10-Q (reporting date: 2023-12-24), 10-K (reporting date: 2023-09-24), 10-Q (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-K (reporting date: 2022-09-25), 10-Q (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-K (reporting date: 2021-09-26), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q2 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 distinct cyclical pattern characterized by an initial period of stability, a prolonged phase of operational slowing, a subsequent recovery, and a final uptick in processing time.

Initial Operational Stability
Between December 2020 and September 2021, the average inventory processing period remained relatively stable, fluctuating within a narrow range of 83 to 88 days. During this interval, inventory turnover maintained a high efficiency level, peaking at 4.42, indicating a rapid conversion of inventory into sales.
Prolonged Expansion of the Processing Cycle
A significant deterioration in inventory velocity is observed starting in December 2021 and continuing through September 2023. The processing period climbed steadily from 93 days to a peak of 148 days. This trend is mirrored by a consistent decline in the inventory turnover ratio, which reached its lowest point of 2.47 in September 2023. This period indicates a substantial increase in the time required to move goods through the operating cycle, suggesting either a buildup of unsold stock or a slowdown in demand.
Recovery and Stabilization Phase
Following the peak in September 2023, a corrective trend emerged. The processing period gradually contracted from 148 days down to 121 days by March 2025. This improvement was maintained with absolute consistency through December 2025, where the processing period remained fixed at 121 days and the turnover ratio stabilized at 3.02. This suggests a period of successful inventory optimization or a stabilization of market demand.
Recent Performance Variance
The most recent observation in March 2026 shows a reversal of the recovery trend. The average inventory processing period increased to 134 days, coinciding with a drop in the turnover ratio to 2.73. This shift indicates a renewed increase in the duration of the inventory cycle, ending the period of stabilization observed throughout 2025.

Average Payables Payment Period

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

Microsoft Excel
Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 23, 2024 Mar 24, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
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.
Intel Corp.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-23), 10-Q (reporting date: 2024-03-24), 10-Q (reporting date: 2023-12-24), 10-K (reporting date: 2023-09-24), 10-Q (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-K (reporting date: 2022-09-25), 10-Q (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-K (reporting date: 2021-09-26), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q2 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


An analysis of the short-term operating activity ratios reveals a significant structural shift in the management of accounts payable between late 2022 and early 2023. The company transitioned from a relatively extended payment cycle to a much more aggressive repayment strategy, followed by a period of stabilization at a mid-range duration.

Payables Turnover Trends
Between December 2020 and September 2022, the payables turnover ratio remained relatively low and stable, fluctuating between 4.28 and 5.19. A sharp increase began in December 2022, peaking at 12.50 in March 2023, which represents the highest efficiency level in the observed period. Following this peak, the ratio moderated and entered a stabilization phase, generally oscillating between 6.37 and 8.20 from June 2023 through March 2026.
Average Payables Payment Period Evolution
The average payables payment period exhibited a high baseline of 70 to 85 days from December 2020 through September 2022. A rapid contraction occurred during the subsequent two quarters, with the payment period dropping to a minimum of 29 days by March 2023. From June 2023 onward, the period trended upward slightly and then stabilized, maintaining a range between 44 and 57 days. This indicates that the company now settles its obligations substantially faster than it did prior to 2023.
Correlation and Liquidity Insights
The inverse relationship between the payables turnover and the payment period is consistent throughout the data. The dramatic inflection point observed in March 2023 suggests a strategic adjustment in working capital management or a fundamental change in supplier credit terms. The move from an average of approximately 77 days to a current range of 44 to 57 days indicates a reduction in the use of spontaneous financing from suppliers, potentially reflecting improved liquidity positions or the pursuit of early-payment discounts.