Stock Analysis on Net
Stock Analysis on Net

ON Semiconductor Corp. (NASDAQ:ON)

This company has been moved to the archive! The financial data has not been updated since April 29, 2024.

Analysis of Short-term (Operating) Activity Ratios

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

ON Semiconductor Corp., short-term (operating) activity ratios

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Turnover Ratios
Inventory turnover 2.07 2.63 2.92 2.83 2.88
Receivables turnover 8.82 9.89 8.33 7.77 7.83
Payables turnover 6.02 4.99 6.34 6.18 6.52
Working capital turnover 2.21 2.27 3.01 3.48 4.59
Average No. Days
Average inventory processing period 176 139 125 129 127
Add: Average receivable collection period 41 37 44 47 47
Operating cycle 217 176 169 176 174
Less: Average payables payment period 61 73 58 59 56
Cash conversion cycle 156 103 111 117 118

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).


The analysis of short-term operating activity ratios reveals a significant shift in operational efficiency between 2019 and 2023, characterized by a marked deceleration in inventory movement and a subsequent extension of the cash conversion cycle in the final year of the period.

Inventory Management Efficiency
A consistent downward trend is observed in inventory turnover, which declined from 2.88 in 2019 to 2.07 in 2023. This contraction is most pronounced between 2022 and 2023, coinciding with a sharp increase in the average inventory processing period from 139 days to 176 days. Such a pattern suggests a buildup of unsold stock or a strategic increase in safety stock levels, which has hindered the speed of inventory liquidation.
Receivables and Payables Dynamics
Receivables management has shown general improvement over the five-year period. The receivables turnover increased from 7.83 in 2019 to 8.82 in 2023, peaking at 9.89 in 2022. Consequently, the average receivable collection period decreased from 47 days to 41 days, indicating more efficient credit collection processes. Payables turnover remained relatively volatile, with the average payables payment period peaking at 73 days in 2022 before normalizing to 61 days in 2023, suggesting fluctuations in the company's leverage over its suppliers.
Working Capital and Cash Conversion
The working capital turnover ratio exhibits a steady decline, falling from 4.59 in 2019 to 2.21 in 2023, reflecting a decrease in the efficiency with which working capital is utilized to generate revenue. The operating cycle remained relatively stable until 2023, when it rose sharply to 217 days from a 2021 low of 169 days. This volatility is mirrored in the cash conversion cycle, which improved from 118 days in 2019 to a low of 103 days in 2022, only to spike to 156 days in 2023. The recent extension of the cash conversion cycle is primarily attributable to the slowdown in inventory turnover rather than delays in receivable collections.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Inventory Turnover

ON Semiconductor Corp., inventory turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data (US$ in thousands)
Cost of revenue 4,369,500 4,249,000 4,025,500 3,539,200 3,544,300
Inventories 2,111,800 1,616,800 1,379,500 1,251,400 1,232,400
Short-term Activity Ratio
Inventory turnover1 2.07 2.63 2.92 2.83 2.88
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc. 2.81 3.45 4.35 — —
Analog Devices Inc. 2.70 3.20 2.33 3.14 —
Applied Materials Inc. 2.47 2.33 2.82 2.44 —
Broadcom Inc. 5.86 5.77 8.18 10.34 —
Intel Corp. 2.92 2.74 3.27 — —
KLA Corp. 1.47 1.67 1.76 — —
Lam Research Corp. 2.00 2.36 2.91 — —
Marvell Technology Inc. 2.74 3.33 5.52 — —
Micron Technology Inc. 2.02 2.53 3.85 2.65 —
NVIDIA Corp. 2.25 3.62 3.44 — —
Qualcomm Inc. 2.47 2.94 4.42 3.56 —
Texas Instruments Inc. 1.63 2.27 3.12 — —
Inventory Turnover, Sector
Semiconductors & Semiconductor Equipment 2.47 2.82 3.52 — —
Inventory Turnover, Industry
Information Technology 7.98 8.63 10.48 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Inventory turnover = Cost of revenue ÷ Inventories
= 4,369,500 ÷ 2,111,800 = 2.07

2 Click competitor name to see calculations.


The analysis of operating activity indicates a deteriorating trend in inventory management efficiency from 2019 to 2023. While there was a period of relative stability between 2019 and 2021, a significant decline in the inventory turnover ratio occurred in the subsequent two years, suggesting that inventory accumulation has outpaced the growth in the cost of revenue.

Cost of Revenue Trends
The cost of revenue demonstrated a consistent upward trajectory after a marginal dip in 2020. From 3,544,300 thousand US$ in 2019 to 4,369,500 thousand US$ in 2023, there was an overall increase of approximately 23.3%. This growth reflects an expansion in production volume or rising input costs over the five-year period.
Inventory Accumulation
Inventory levels grew substantially and at an accelerating rate. Starting at 1,232,400 thousand US$ in 2019, inventories rose to 2,111,800 thousand US$ by 2023, representing a total increase of approximately 71.4%. The most pronounced growth occurred between 2022 and 2023, where inventory levels increased by approximately 30.6% in a single year.
Inventory Turnover Ratio Performance
The inventory turnover ratio remained stable through 2021, peaking at 2.92. However, a sharp downward trend followed, with the ratio falling to 2.63 in 2022 and further declining to 2.07 in 2023. This decline indicates that the company is taking longer to turn over its inventory, which may signal overstocking, a slowdown in demand, or a strategic decision to build safety stock.

The divergence between the steady growth of the cost of revenue and the aggressive increase in inventory levels explains the compression of the turnover ratio. The transition from a ratio of 2.92 in 2021 to 2.07 in 2023 represents a significant reduction in operating efficiency regarding asset utilization.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Receivables Turnover

ON Semiconductor Corp., receivables turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data (US$ in thousands)
Revenue 8,253,000 8,326,200 6,739,800 5,255,000 5,517,900
Receivables, net 935,400 842,300 809,400 676,000 705,000
Short-term Activity Ratio
Receivables turnover1 8.82 9.89 8.33 7.77 7.83
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc. 5.25 5.72 6.07 — —
Analog Devices Inc. 8.37 6.67 5.02 7.60 —
Applied Materials Inc. 5.13 4.25 4.66 5.81 —
Broadcom Inc. 11.36 11.22 13.25 10.40 —
Intel Corp. 15.94 15.26 8.36 — —
KLA Corp. 5.99 5.08 5.30 — —
Lam Research Corp. 6.17 3.99 4.83 — —
Marvell Technology Inc. 4.97 4.26 5.53 — —
Micron Technology Inc. 7.59 6.45 5.63 6.13 —
NVIDIA Corp. 7.05 5.79 6.86 — —
Qualcomm Inc. 18.63 10.59 15.16 8.76 —
Texas Instruments Inc. 9.80 10.57 10.78 — —
Receivables Turnover, Sector
Semiconductors & Semiconductor Equipment 8.56 7.44 7.45 — —
Receivables Turnover, Industry
Information Technology 7.42 7.39 7.51 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Receivables turnover = Revenue ÷ Receivables, net
= 8,253,000 ÷ 935,400 = 8.82

2 Click competitor name to see calculations.


An analysis of the short-term operating activity reveals a period of significant revenue expansion and corresponding fluctuations in receivables management between 2019 and 2023. While revenue grew from 5.518 billion USD in 2019 to a peak of 8.326 billion USD in 2022, net receivables exhibited a consistent upward trajectory toward the end of the period.

Receivables Turnover Trend
The receivables turnover ratio remained relatively stable between 2019 and 2020, fluctuating slightly from 7.83 to 7.77. A period of efficiency improvement followed, with the ratio increasing to 8.33 in 2021 and reaching a five-year peak of 9.89 in 2022. A subsequent decline to 8.82 occurred in 2023, indicating a reduction in the velocity at which accounts receivable were converted into cash.
Revenue and Receivables Correlation
Between 2020 and 2022, the growth in net receivables was managed in alignment with substantial revenue increases, which supported the peak turnover efficiency observed in 2022. In 2023, a divergence emerged as revenue slightly contracted to 8.253 billion USD while net receivables rose to 935.4 million USD. This increase in the receivables balance amidst declining sales resulted in the observed downward pressure on the turnover ratio.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Payables Turnover

ON Semiconductor Corp., payables turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data (US$ in thousands)
Cost of revenue 4,369,500 4,249,000 4,025,500 3,539,200 3,544,300
Accounts payable 725,600 852,100 635,100 572,900 543,600
Short-term Activity Ratio
Payables turnover1 6.02 4.99 6.34 6.18 6.52
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc. 5.05 4.40 6.05 — —
Analog Devices Inc. 8.98 7.70 6.30 8.42 —
Applied Materials Inc. 9.56 7.86 8.25 8.46 —
Broadcom Inc. 9.20 11.13 9.77 12.41 —
Intel Corp. 3.79 3.77 6.13 — —
KLA Corp. 11.37 8.10 8.10 — —
Lam Research Corp. 20.50 9.25 9.43 — —
Marvell Technology Inc. 6.29 5.20 5.87 — —
Micron Technology Inc. 9.83 7.87 9.91 6.79 —
NVIDIA Corp. 9.74 5.29 5.23 — —
Qualcomm Inc. 8.30 4.91 5.19 4.12 —
Texas Instruments Inc. 8.10 7.35 10.45 — —
Payables Turnover, Sector
Semiconductors & Semiconductor Equipment 6.73 5.50 7.01 — —
Payables Turnover, Industry
Information Technology 4.77 4.24 4.63 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Payables turnover = Cost of revenue ÷ Accounts payable
= 4,369,500 ÷ 725,600 = 6.02

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a fluctuating relationship between procurement costs and payment cycles from 2019 to 2023. While the cost of revenue demonstrated a general upward trajectory, the payables turnover ratio experienced a notable contraction in 2022 before returning toward historical norms in 2023.

Cost of Revenue and Accounts Payable Trends
Cost of revenue grew from approximately 3.54 billion in 2019 to 4.37 billion in 2023, reflecting an overall increase in operational scale. During the same period, accounts payable exhibited a steady increase from 543.6 million in 2019 to a peak of 852.1 million in 2022. A reversal occurred in 2023, where accounts payable decreased to 725.6 million despite the continued rise in the cost of revenue.
Payables Turnover Ratio Analysis
The payables turnover ratio remained relatively stable between 2019 and 2021, fluctuating within a narrow range of 6.18 to 6.52. A significant decline was observed in 2022, with the ratio dropping to 4.99. This decline indicates a slower rate of supplier payment or an extension of credit terms during that fiscal year. By 2023, the ratio recovered to 6.02, signaling a normalization of the payment cycle and a more rapid settlement of obligations to suppliers.
Operational Insights
The divergence observed in 2022, characterized by a spike in accounts payable and a corresponding decrease in turnover, suggests an increased reliance on supplier financing or a strategic shift in working capital management. The subsequent correction in 2023 indicates a return to more aggressive payment patterns, as evidenced by the simultaneous reduction in total payables and the increase in the turnover ratio.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Working Capital Turnover

ON Semiconductor Corp., working capital turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data (US$ in thousands)
Current assets 5,912,300 5,729,400 3,781,600 3,184,100 3,020,000
Less: Current liabilities 2,183,600 2,061,400 1,543,400 1,674,500 1,818,400
Working capital 3,728,700 3,668,000 2,238,200 1,509,600 1,201,600
 
Revenue 8,253,000 8,326,200 6,739,800 5,255,000 5,517,900
Short-term Activity Ratio
Working capital turnover1 2.21 2.27 3.01 3.48 4.59
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc. 2.25 2.73 3.78 — —
Analog Devices Inc. 10.40 4.81 2.81 4.86 —
Applied Materials Inc. 2.25 3.02 2.36 1.93 —
Broadcom Inc. 2.66 2.90 2.66 4.32 —
Intel Corp. 3.56 3.45 2.61 — —
KLA Corp. 2.27 2.14 1.93 — —
Lam Research Corp. 1.93 2.23 1.80 — —
Marvell Technology Inc. 6.62 4.04 5.50 — —
Micron Technology Inc. 0.94 2.16 2.05 1.89 —
NVIDIA Corp. 1.63 1.10 1.37 — —
Qualcomm Inc. 2.79 4.99 4.13 2.39 —
Texas Instruments Inc. 1.48 1.81 1.65 — —
Working Capital Turnover, Sector
Semiconductors & Semiconductor Equipment 2.27 2.56 2.40 — —
Working Capital Turnover, Industry
Information Technology 5.74 6.38 4.29 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Working capital turnover = Revenue ÷ Working capital
= 8,253,000 ÷ 3,728,700 = 2.21

2 Click competitor name to see calculations.


A consistent downward trend is observed in the working capital turnover ratio from 2019 to 2023, indicating a decline in the efficiency with which the company utilizes its short-term assets and liabilities to generate sales.

Working Capital Growth
Working capital has expanded significantly and steadily over the analyzed period, rising from 1,201,600 thousand US dollars in 2019 to 3,728,700 thousand US dollars in 2023. This represents a substantial increase in the capital tied up in day-to-day operations, with the most pronounced growth occurring between 2021 and 2022.
Revenue Performance
Revenue exhibited overall growth, increasing from 5,517,900 thousand US dollars in 2019 to a peak of 8,326,200 thousand US dollars in 2022, before slightly contracting to 8,253,000 thousand US dollars in 2023. While revenue has increased in absolute terms, the rate of growth has not kept pace with the expansion of working capital.
Working Capital Turnover Analysis
The working capital turnover ratio has decreased every year throughout the period, falling from 4.59 in 2019 to 2.21 in 2023. This persistent decline suggests that the company is requiring progressively more working capital to support each dollar of revenue generated. The sharpest drop occurred between 2021 and 2022, coinciding with a period of rapid working capital accumulation.

The convergence of rapidly increasing working capital and decelerating revenue growth has led to a diminished turnover ratio. This pattern suggests a potential accumulation of excess liquidity, higher inventory levels, or slower receivables collection relative to the scale of sales operations.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Average Inventory Processing Period

ON Semiconductor Corp., average inventory processing period calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data
Inventory turnover 2.07 2.63 2.92 2.83 2.88
Short-term Activity Ratio (no. days)
Average inventory processing period1 176 139 125 129 127
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc. 130 106 84 — —
Analog Devices Inc. 135 114 157 116 —
Applied Materials Inc. 148 157 129 150 —
Broadcom Inc. 62 63 45 35 —
Intel Corp. 125 133 112 — —
KLA Corp. 249 218 207 — —
Lam Research Corp. 182 155 126 — —
Marvell Technology Inc. 133 110 66 — —
Micron Technology Inc. 181 144 95 138 —
NVIDIA Corp. 162 101 106 — —
Qualcomm Inc. 148 124 83 102 —
Texas Instruments Inc. 225 161 117 — —
Average Inventory Processing Period, Sector
Semiconductors & Semiconductor Equipment 148 129 104 — —
Average Inventory Processing Period, Industry
Information Technology 46 42 35 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.07 = 176

2 Click competitor name to see calculations.


The analysis of short-term operating activity ratios indicates a decline in inventory management efficiency over the five-year period ending December 31, 2023. After a period of relative stability between 2019 and 2021, there is a clear trend toward slower inventory turnover and an extended processing cycle.

Inventory Turnover
The inventory turnover ratio remained stable from 2019 to 2021, fluctuating within a narrow range between 2.83 and 2.92. A downward trend emerged in 2022, with the ratio falling to 2.63, followed by a more pronounced decrease to 2.07 by the end of 2023. This contraction suggests a reduction in the frequency with which inventory is sold and replaced over the observed period.
Average Inventory Processing Period
Correspondingly, the average inventory processing period remained consistent between 125 and 129 days during the 2019-2021 interval. A shift occurred in 2022 as the period increased to 139 days, culminating in a significant spike to 176 days in 2023. This indicates a substantial increase in the time required to convert inventory into sales, reflecting a slower movement of goods through the operational cycle.

The inverse relationship between the turnover ratio and the processing period confirms a degradation in operational efficiency. The sharp increase in the processing period during the final two years of the analysis suggests that capital is being tied up in inventory for longer durations, which may indicate a shift in market demand or an increase in inventory accumulation.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Average Receivable Collection Period

ON Semiconductor Corp., average receivable collection period calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data
Receivables turnover 8.82 9.89 8.33 7.77 7.83
Short-term Activity Ratio (no. days)
Average receivable collection period1 41 37 44 47 47
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc. 70 64 60 — —
Analog Devices Inc. 44 55 73 48 —
Applied Materials Inc. 71 86 78 63 —
Broadcom Inc. 32 33 28 35 —
Intel Corp. 23 24 44 — —
KLA Corp. 61 72 69 — —
Lam Research Corp. 59 91 76 — —
Marvell Technology Inc. 74 86 66 — —
Micron Technology Inc. 48 57 65 59 —
NVIDIA Corp. 52 63 53 — —
Qualcomm Inc. 20 34 24 42 —
Texas Instruments Inc. 37 35 34 — —
Average Receivable Collection Period, Sector
Semiconductors & Semiconductor Equipment 43 49 49 — —
Average Receivable Collection Period, Industry
Information Technology 49 49 49 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 8.82 = 41

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a period of improving efficiency in the management of accounts receivable from 2019 through 2022, followed by a moderate reversal in 2023.

Receivables Turnover
A relatively stable turnover rate was observed between 2019 and 2020, with values of 7.83 and 7.77, respectively. An upward trajectory began in 2021, with the ratio climbing to 8.33 and reaching a peak of 9.89 in 2022. This peak represents the highest velocity of receivable conversion into cash during the analyzed period. In 2023, the ratio declined to 8.82, indicating a slight reduction in the efficiency of credit recovery compared to the previous year.
Average Receivable Collection Period
The collection period mirrored the turnover trends, remaining constant at 47 days during 2019 and 2020. A contraction in the collection cycle occurred in 2021, dropping to 44 days, and reached a low of 37 days in 2022. This 10-day reduction from the 2019 baseline highlights a period of optimal liquidity management. However, the period expanded to 41 days in 2023, suggesting a moderate slowdown in the speed of customer payments.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Operating Cycle

ON Semiconductor Corp., operating cycle calculation, comparison to benchmarks

No. days

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data
Average inventory processing period 176 139 125 129 127
Average receivable collection period 41 37 44 47 47
Short-term Activity Ratio
Operating cycle1 217 176 169 176 174
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc. 200 170 144 — —
Analog Devices Inc. 179 169 230 164 —
Applied Materials Inc. 219 243 207 213 —
Broadcom Inc. 94 96 73 70 —
Intel Corp. 148 157 156 — —
KLA Corp. 310 290 276 — —
Lam Research Corp. 241 246 202 — —
Marvell Technology Inc. 207 196 132 — —
Micron Technology Inc. 229 201 160 197 —
NVIDIA Corp. 214 164 159 — —
Qualcomm Inc. 168 158 107 144 —
Texas Instruments Inc. 262 196 151 — —
Operating Cycle, Sector
Semiconductors & Semiconductor Equipment 191 178 153 — —
Operating Cycle, Industry
Information Technology 95 91 84 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 176 + 41 = 217

2 Click competitor name to see calculations.


The overall operating cycle exhibited relative stability between 2019 and 2022, followed by a significant expansion in 2023. This shift indicates a lengthening of the time required to convert investments in inventory and receivables back into cash, driven primarily by inventory management dynamics rather than credit collection efficiency.

Average Inventory Processing Period
A progressive increase in the time required to process inventory is observed, particularly in the latter part of the period. After remaining stable between 125 and 129 days from 2019 to 2021, the period rose to 139 days in 2022 and experienced a sharp increase to 176 days by December 31, 2023. This trend suggests a slowing of inventory turnover or a substantial buildup of stock.
Average Receivable Collection Period
The collection of receivables remained relatively efficient and stable over the five-year span. A gradual downward trend was noted, with the collection period decreasing from 47 days in 2019 and 2020 to a low of 37 days in 2022. A slight increase to 41 days occurred in 2023, though the metric remains significantly lower than the inventory processing period, indicating that receivable management is not the primary driver of the operating cycle's expansion.
Operating Cycle
The total operating cycle remained consistent, fluctuating between 169 and 176 days from 2019 through 2022. However, a substantial increase to 217 days was recorded in 2023. This expansion of 41 days compared to the previous year is almost entirely attributable to the rise in the average inventory processing period, reflecting a heightened duration of working capital tied up in the production and sales cycle.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Average Payables Payment Period

ON Semiconductor Corp., average payables payment period calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data
Payables turnover 6.02 4.99 6.34 6.18 6.52
Short-term Activity Ratio (no. days)
Average payables payment period1 61 73 58 59 56
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc. 72 83 60 — —
Analog Devices Inc. 41 47 58 43 —
Applied Materials Inc. 38 46 44 43 —
Broadcom Inc. 40 33 37 29 —
Intel Corp. 96 97 60 — —
KLA Corp. 32 45 45 — —
Lam Research Corp. 18 39 39 — —
Marvell Technology Inc. 58 70 62 — —
Micron Technology Inc. 37 46 37 54 —
NVIDIA Corp. 37 69 70 — —
Qualcomm Inc. 44 74 70 89 —
Texas Instruments Inc. 45 50 35 — —
Average Payables Payment Period, Sector
Semiconductors & Semiconductor Equipment 54 66 52 — —
Average Payables Payment Period, Industry
Information Technology 76 86 79 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 6.02 = 61

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a period of relative stability in the accounts payable cycle from 2019 to 2021, followed by a significant deviation in 2022 and a subsequent normalization in 2023.

Payables Turnover Analysis
The payables turnover ratio exhibited minor fluctuations between 2019 and 2021, maintaining a range between 6.18 and 6.52. A notable decline occurred in 2022, where the ratio dropped to 4.99, indicating a reduction in the frequency with which accounts payable were settled. In 2023, the ratio recovered to 6.02, returning toward the historical average.
Average Payables Payment Period Trends
The average time taken to settle obligations remained consistent between 56 and 59 days during the first three years of the period. A substantial increase was observed in 2022, with the payment period extending to 73 days. This represents a marked slowdown in payment velocity. By 2023, the period decreased to 61 days, signaling a return to more typical payment behavior.
Operational Correlation
An inverse relationship is evident between the turnover ratio and the payment period. The peak in the payment period in 2022 directly corresponds with the minimum turnover ratio of 4.99. The correction observed in 2023 suggests that the extended credit utilization seen in 2022 was a temporary occurrence rather than a long-term structural change in supplier credit terms or liquidity management.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?


Cash Conversion Cycle

ON Semiconductor Corp., cash conversion cycle calculation, comparison to benchmarks

No. days

Microsoft Excel
Dec 31, 2023 Dec 31, 2022 Dec 31, 2021 Dec 31, 2020 Dec 31, 2019
Selected Financial Data
Average inventory processing period 176 139 125 129 127
Average receivable collection period 41 37 44 47 47
Average payables payment period 61 73 58 59 56
Short-term Activity Ratio
Cash conversion cycle1 156 103 111 117 118
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc. 128 87 84 — —
Analog Devices Inc. 138 122 172 121 —
Applied Materials Inc. 181 197 163 170 —
Broadcom Inc. 54 63 36 41 —
Intel Corp. 52 60 96 — —
KLA Corp. 278 245 231 — —
Lam Research Corp. 223 207 163 — —
Marvell Technology Inc. 149 126 70 — —
Micron Technology Inc. 192 155 123 143 —
NVIDIA Corp. 177 95 89 — —
Qualcomm Inc. 124 84 37 55 —
Texas Instruments Inc. 217 146 116 — —
Cash Conversion Cycle, Sector
Semiconductors & Semiconductor Equipment 137 112 101 — —
Cash Conversion Cycle, Industry
Information Technology 19 5 5 — —

Based on: 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).

1 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 176 + 41 – 61 = 156

2 Click competitor name to see calculations.


The operational efficiency regarding the cash conversion cycle exhibited a positive trajectory from 2019 through 2022, followed by a significant deterioration in 2023. The overall cycle length decreased from 118 days to 103 days over the initial four-year period, before increasing sharply to 156 days in the final year.

Average Inventory Processing Period
A pronounced upward trend is observed, particularly in the most recent fiscal year. After remaining relatively stable between 125 and 139 days from 2019 to 2022, the period expanded to 176 days in 2023. This substantial increase suggests a slower turnover of stock, potentially indicating inventory accumulation or a decrease in demand relative to production levels.
Average Receivable Collection Period
Collection efficiency showed general improvement between 2019 and 2022, with the period declining from 47 days to 37 days. Although there was a slight increase to 41 days in 2023, the collection period remains more efficient than the levels recorded between 2019 and 2021.
Average Payables Payment Period
The period for settling obligations fluctuated, reaching a peak of 73 days in 2022, which effectively delayed cash outflows. However, this period contracted to 61 days in 2023, meaning the company leveraged supplier financing less aggressively than in the previous year.
Cash Conversion Cycle Synthesis
The overall cash conversion cycle was optimized between 2019 and 2022 due to a combination of faster receivable collections and extended payables. The abrupt increase to 156 days in 2023 is primarily driven by the surge in the inventory processing period, which offset the benefits of the relatively stable receivable collection period and resulted in a significantly higher requirement for working capital.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.

How can I help you?