AI Tokens
Stock Analysis on Net

Corning Inc. (NYSE:GLW)

This company has been moved to the archive! The financial data has not been updated since May 2, 2024.

Analysis of Short-term (Operating) Activity Ratios

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

Corning Inc., 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 3.25 3.33 3.64 3.19 3.22
Receivables turnover 8.01 8.24 7.03 5.30 6.27
Payables turnover 5.91 5.37 5.59 6.62 4.71
Working capital turnover 4.35 6.23 4.94 2.67 2.92
Average No. Days
Average inventory processing period 112 109 100 114 113
Add: Average receivable collection period 46 44 52 69 58
Operating cycle 158 153 152 183 171
Less: Average payables payment period 62 68 65 55 78
Cash conversion cycle 96 85 87 128 93

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).


An analysis of short-term operating activity from 2019 to 2023 reveals a general improvement in asset utilization efficiency, particularly concerning the collection of receivables, despite some volatility in the overall cash conversion cycle.

Inventory Management Efficiency
Inventory turnover has remained relatively stable over the five-year period, fluctuating between 3.19 and 3.64. The average inventory processing period corresponds with this stability, hovering around 112 days, with a brief period of increased efficiency in 2021 when the processing time dropped to 100 days. This suggests a consistent approach to inventory replenishment and sales cycles.
Receivables and Collection Performance
A positive trend is observed in receivables turnover, which increased from 6.27 in 2019 to 8.01 in 2023. This improvement is further evidenced by the average receivable collection period, which decreased from a peak of 69 days in 2020 to 46 days by 2023. This indicates a more aggressive or efficient credit collection process, reducing the time capital remains tied up in outstanding invoices.
Payables and Liquidity Strategy
The payables turnover ratio showed an increase in 2020 and has since fluctuated between 5.37 and 5.91. The average payables payment period decreased significantly from 78 days in 2019 to 62 days in 2023. This suggests a shift toward faster settlement of obligations to suppliers.
Operating and Cash Conversion Cycles
The operating cycle peaked in 2020 at 183 days before contracting to 158 days by 2023, driven primarily by the faster collection of receivables. Consequently, the cash conversion cycle experienced a peak of 128 days in 2020 but improved to 96 days by the end of 2023. Although there was a slight increase in the cycle between 2022 and 2023, the overall trend since 2020 indicates enhanced liquidity management.
Working Capital Utilization
Working capital turnover exhibited significant volatility, rising sharply from 2.67 in 2020 to a peak of 6.23 in 2022, before moderating to 4.35 in 2023. This suggests that the organization significantly optimized its net current assets to generate revenue during the 2021-2022 period.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Inventory Turnover

Corning Inc., 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 millions)
Cost of sales 8,657 9,683 9,019 7,772 7,468
Inventories 2,666 2,904 2,481 2,438 2,320
Short-term Activity Ratio
Inventory turnover1 3.25 3.33 3.64 3.19 3.22
Benchmarks
Inventory Turnover, Competitors2
Apple Inc. 33.82 45.20 32.37 — —
Arista Networks Inc. 1.15 1.32 1.64 — —
Cisco Systems Inc. 5.83 7.52 11.50 — —
Dell Technologies Inc. 16.67 13.45 19.05 — —
Lumentum Holdings Inc. 2.73 3.44 4.57 — —
Super Micro Computer Inc. 4.04 2.84 2.90 — —
Inventory Turnover, Sector
Technology Hardware & Equipment 17.48 19.95 22.39 — —
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 sales ÷ Inventories
= 8,657 ÷ 2,666 = 3.25

2 Click competitor name to see calculations.


The operating activity regarding inventory management between 2019 and 2023 demonstrates a period of moderate volatility followed by a return to baseline efficiency levels. While total costs and inventory volumes peaked in 2022, the inventory turnover ratio remained relatively stable, indicating a consistent relationship between the cost of goods sold and inventory holdings over the five-year period.

Cost of Sales and Inventory Volume Trends
Cost of sales exhibited a growth trajectory from 2019 (US$ 7,468 million) through 2022 (US$ 9,683 million), before declining by approximately 10.6% in 2023. Parallel to this, inventory levels grew from US$ 2,320 million in 2019 to a peak of US$ 2,904 million in 2022. A notable spike in inventory accumulation occurred in 2022, followed by a reduction to US$ 2,666 million by the end of 2023.
Inventory Turnover Analysis
The inventory turnover ratio fluctuated within a narrow range, reaching a minimum of 3.19 in 2020 and a maximum of 3.64 in 2021. The peak efficiency observed in 2021 was driven by a significant increase in the cost of sales while inventory levels remained relatively flat. Conversely, the decline to 3.33 in 2022 suggests that inventory growth outpaced the increase in the cost of sales during that fiscal year.
Operational Stability and Convergence
By the end of 2023, the turnover ratio settled at 3.25, closely aligning with the 3.22 ratio recorded in 2019. This convergence suggests that the operational fluctuations experienced between 2021 and 2022 were temporary, and the company has returned to its historical baseline for inventory movement and turnover efficiency.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Receivables Turnover

Corning Inc., 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 millions)
Net sales 12,588 14,189 14,082 11,303 11,503
Trade accounts receivable, net of doubtful accounts 1,572 1,721 2,004 2,133 1,836
Short-term Activity Ratio
Receivables turnover1 8.01 8.24 7.03 5.30 6.27
Benchmarks
Receivables Turnover, Competitors2
Apple Inc. 12.99 13.99 13.92 — —
Arista Networks Inc. 5.72 4.75 5.71 — —
Cisco Systems Inc. 9.74 7.79 8.64 — —
Dell Technologies Inc. 8.20 7.84 7.37 — —
Lumentum Holdings Inc. 7.18 6.54 8.19 — —
Super Micro Computer Inc. 6.20 6.23 7.67 — —
Receivables Turnover, Sector
Technology Hardware & Equipment 11.09 11.23 11.26 — —
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 = Net sales ÷ Trade accounts receivable, net of doubtful accounts
= 12,588 ÷ 1,572 = 8.01

2 Click competitor name to see calculations.


The company's receivables management experienced a period of initial volatility followed by a significant improvement in collection efficiency between 2019 and 2023. While the turnover ratio declined in the early part of the period, a strong recovery occurred starting in 2021, suggesting an optimization of the credit-to-cash cycle.

Net Sales Performance
Net sales remained relatively stable between 2019 and 2020, followed by a substantial increase to 14.08 billion in 2021 and a peak of 14.19 billion in 2022. A contraction was observed in 2023, with sales declining to 12.59 billion, indicating a fluctuation in top-line revenue over the five-year observation period.
Trade Accounts Receivable Trends
Trade accounts receivable peaked in 2020 at 2.13 billion, marking a period of increased outstanding credit. Subsequently, a consistent downward trend was observed, with the balance decreasing to 1.57 billion by 2023. This steady reduction in the receivables balance, even during periods of sales growth, indicates more effective collection strategies or more stringent credit terms.
Receivables Turnover Analysis
The receivables turnover ratio reached a minimum of 5.30 in 2020, reflecting a slowdown in the speed at which the company collected its outstanding debts. A sharp reversal followed, with the ratio climbing to 7.03 in 2021 and peaking at 8.24 in 2022. Although a slight moderation to 8.01 occurred in 2023, the efficiency levels remain substantially higher than those recorded in 2019 and 2020, demonstrating a leaner and more efficient operating cycle.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Payables Turnover

Corning Inc., 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 millions)
Cost of sales 8,657 9,683 9,019 7,772 7,468
Accounts payable 1,466 1,804 1,612 1,174 1,587
Short-term Activity Ratio
Payables turnover1 5.91 5.37 5.59 6.62 4.71
Benchmarks
Payables Turnover, Competitors2
Apple Inc. 3.42 3.49 3.89 — —
Arista Networks Inc. 5.13 7.33 5.27 — —
Cisco Systems Inc. 9.19 8.47 7.59 — —
Dell Technologies Inc. 4.28 2.92 2.99 — —
Lumentum Holdings Inc. 6.57 5.50 7.68 — —
Super Micro Computer Inc. 7.52 6.71 4.94 — —
Payables Turnover, Sector
Technology Hardware & Equipment 3.82 3.48 3.77 — —
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 sales ÷ Accounts payable
= 8,657 ÷ 1,466 = 5.91

2 Click competitor name to see calculations.


An analysis of the operating activity ratios reveals a fluctuating pattern in the management of supplier obligations between 2019 and 2023, characterized by shifts in payment velocity and liability levels.

Cost of Sales and Accounts Payable Dynamics
Cost of sales exhibited a steady upward trajectory from 2019, peaking at 9,683 million US dollars in 2022 before declining to 8,657 million US dollars in 2023. Accounts payable followed a more volatile path, decreasing significantly in 2020 to 1,174 million US dollars, reaching a peak in 2022 at 1,804 million US dollars, and subsequently contracting to 1,466 million US dollars in 2023.
Payables Turnover Ratio Trends
The payables turnover ratio demonstrates a non-linear trend, starting at 4.71 in 2019 and reaching a five-year peak of 6.62 in 2020. This increase indicates a more rapid settlement of supplier obligations. The ratio then moderated to 5.59 in 2021 and 5.37 in 2022, coinciding with the expansion of accounts payable, which suggests a strategic extension of payment terms during the period of highest operational costs.
Recent Performance Analysis
In 2023, the payables turnover ratio rose to 5.91. This increase occurred in conjunction with a reduction in both total cost of sales and outstanding accounts payable, indicating a tightening of short-term liabilities and an acceleration in the frequency of supplier payments relative to the cost of goods sold.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Working Capital Turnover

Corning Inc., 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 millions)
Current assets 7,212 7,453 7,659 8,004 7,463
Less: Current liabilities 4,319 5,175 4,806 3,767 3,521
Working capital 2,893 2,278 2,853 4,237 3,942
 
Net sales 12,588 14,189 14,082 11,303 11,503
Short-term Activity Ratio
Working capital turnover1 4.35 6.23 4.94 2.67 2.92
Benchmarks
Working Capital Turnover, Competitors2
Apple Inc. — — 39.10 — —
Arista Networks Inc. 0.90 1.03 0.80 — —
Cisco Systems Inc. 4.73 4.65 3.88 — —
Dell Technologies Inc. — — — — —
Lumentum Holdings Inc. 0.82 0.71 0.98 — —
Super Micro Computer Inc. 3.95 3.89 3.96 — —
Working Capital Turnover, Sector
Technology Hardware & Equipment 48.79 — 28.75 — —
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 = Net sales ÷ Working capital
= 12,588 ÷ 2,893 = 4.35

2 Click competitor name to see calculations.


The analysis of operating activity from 2019 to 2023 reveals a period of significant fluctuation in working capital efficiency, characterized by a sharp increase in turnover peaking in 2022 followed by a moderate correction in 2023.

Net Sales Performance
Revenue remained relatively stable between 2019 and 2020, followed by a substantial increase in 2021 and 2022, where sales peaked at 14,189 million US dollars. A subsequent contraction occurred in 2023, with net sales decreasing to 12,588 million US dollars.
Working Capital Trends
Working capital exhibited an inverse relationship with turnover during the peak growth years. After reaching a high of 4,237 million US dollars in 2020, working capital declined steadily to a low of 2,278 million US dollars by 2022. In 2023, this figure rose again to 2,893 million US dollars.
Working Capital Turnover Analysis
The working capital turnover ratio shifted from 2.92 in 2019 to a peak of 6.23 in 2022. This acceleration was driven by the simultaneous increase in net sales and the reduction of working capital, suggesting a period of intensified asset utilization and improved operational efficiency. The decline to 4.35 in 2023 reflects the combined impact of lower sales volumes and an increase in the working capital base.

Overall, the data indicates that the most efficient use of short-term assets occurred in 2022. The subsequent shift in 2023 suggests a transition away from the peak efficiency levels seen in the prior two years, coinciding with a reduction in top-line revenue.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Average Inventory Processing Period

Corning Inc., 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 3.25 3.33 3.64 3.19 3.22
Short-term Activity Ratio (no. days)
Average inventory processing period1 112 109 100 114 113
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Apple Inc. 11 8 11 — —
Arista Networks Inc. 318 276 222 — —
Cisco Systems Inc. 63 49 32 — —
Dell Technologies Inc. 22 27 19 — —
Lumentum Holdings Inc. 134 106 80 — —
Super Micro Computer Inc. 90 128 126 — —
Average Inventory Processing Period, Sector
Technology Hardware & Equipment 21 18 16 — —
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 ÷ 3.25 = 112

2 Click competitor name to see calculations.


The inventory management efficiency exhibits a cyclical pattern over the five-year period analyzed, characterized by a temporary increase in operational speed followed by a return to baseline levels.

Inventory Turnover Ratio
The turnover ratio remained relatively stable, fluctuating within a narrow range between 3.19 and 3.64. A peak was observed in 2021, where the ratio reached 3.64, indicating the highest level of inventory movement within the period. This was followed by a two-year downward trend, ending at 3.25 in 2023.
Average Inventory Processing Period
The processing period demonstrates an inverse relationship with turnover, starting at 113 days in 2019 and reaching a low of 100 days in 2021. This represents a temporary improvement in the time required to process inventory. Subsequent increases to 109 days in 2022 and 112 days in 2023 indicate that the processing cycle has reverted to the operational pace observed at the beginning of the analyzed period.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Average Receivable Collection Period

Corning Inc., 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 8.01 8.24 7.03 5.30 6.27
Short-term Activity Ratio (no. days)
Average receivable collection period1 46 44 52 69 58
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Apple Inc. 28 26 26 — —
Arista Networks Inc. 64 77 64 — —
Cisco Systems Inc. 37 47 42 — —
Dell Technologies Inc. 45 47 50 — —
Lumentum Holdings Inc. 51 56 45 — —
Super Micro Computer Inc. 59 59 48 — —
Average Receivable Collection Period, Sector
Technology Hardware & Equipment 33 33 32 — —
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 ÷ 8.01 = 46

2 Click competitor name to see calculations.


The analysis of short-term operating activity indicates a fluctuating but generally improving trend in the efficiency of receivable management between 2019 and 2023.

Receivables Turnover
The turnover ratio experienced an initial decline from 6.27 in 2019 to 5.30 in 2020, indicating a reduction in the frequency of receivable conversions during that period. A significant recovery followed, with the ratio climbing to 7.03 in 2021 and peaking at 8.24 in 2022. A slight moderation occurred in 2023, with the ratio settling at 8.01, yet remaining substantially higher than the 2019 and 2020 levels.
Average Receivable Collection Period
The collection cycle mirrored the turnover trends, expanding from 58 days in 2019 to a peak of 69 days in 2020, which suggests a temporary slowdown in the collection of outstanding invoices. Subsequently, a consistent contraction in the collection period was observed, dropping to 52 days in 2021 and reaching a minimum of 44 days in 2022. The period concluded at 46 days in 2023, marking an overall reduction in the time required to convert receivables into cash compared to the start of the analysis period.

The inverse relationship between the increasing turnover ratio and the decreasing collection period from 2021 through 2023 points to an enhancement in credit management efficiency. Despite the volatility observed in 2020, the company achieved a more streamlined cash conversion process by the end of 2023.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Operating Cycle

Corning Inc., 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 112 109 100 114 113
Average receivable collection period 46 44 52 69 58
Short-term Activity Ratio
Operating cycle1 158 153 152 183 171
Benchmarks
Operating Cycle, Competitors2
Apple Inc. 39 34 37 — —
Arista Networks Inc. 382 353 286 — —
Cisco Systems Inc. 100 96 74 — —
Dell Technologies Inc. 67 74 69 — —
Lumentum Holdings Inc. 185 162 125 — —
Super Micro Computer Inc. 149 187 174 — —
Operating Cycle, Sector
Technology Hardware & Equipment 54 51 48 — —
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
= 112 + 46 = 158

2 Click competitor name to see calculations.


The operating cycle exhibits a period of volatility between 2019 and 2020, followed by a general contraction and stabilization through 2023. The overall efficiency of the operating cycle improved from a peak of 183 days in 2020 to 158 days by the end of 2023, reflecting a net reduction in the time required to convert inventory into cash.

Average Inventory Processing Period
Inventory turnover remains relatively stable, though it fluctuates within a range of 100 to 114 days. A peak occurred in 2020 at 114 days, followed by a notable improvement in 2021 where the period dropped to 100 days. However, a gradual upward trend followed, with the period returning to 112 days by 2023, suggesting a return to historical inventory management levels.
Average Receivable Collection Period
The collection period shows the most significant improvement over the five-year horizon. After a spike to 69 days in 2020, the period decreased consistently, reaching 44 days in 2022 and 46 days in 2023. This downward trend indicates an increase in the efficiency of credit collections and a faster conversion of receivables into liquid assets.
Operating Cycle
The total operating cycle was heavily influenced by the concurrent peaks in inventory and receivables in 2020, resulting in a high of 183 days. The sharp decline to 152 days in 2021 was primarily driven by improvements in both components. While the cycle slightly extended to 158 days by 2023, the current duration remains significantly shorter than the 2019 and 2020 levels, driven largely by the sustained reduction in the receivable collection period.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Average Payables Payment Period

Corning Inc., 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 5.91 5.37 5.59 6.62 4.71
Short-term Activity Ratio (no. days)
Average payables payment period1 62 68 65 55 78
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Apple Inc. 107 105 94 — —
Arista Networks Inc. 71 50 69 — —
Cisco Systems Inc. 40 43 48 — —
Dell Technologies Inc. 85 125 122 — —
Lumentum Holdings Inc. 56 66 48 — —
Super Micro Computer Inc. 49 54 74 — —
Average Payables Payment Period, Sector
Technology Hardware & Equipment 96 105 97 — —
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 ÷ 5.91 = 62

2 Click competitor name to see calculations.


The analysis of accounts payable activity from 2019 through 2023 reveals a period of initial contraction in payment duration followed by relative stabilization and moderate volatility.

Payables Turnover
A significant increase in the turnover ratio was observed between 2019 and 2020, rising from 4.71 to a peak of 6.62. This upward movement was followed by a two-year decline, reaching a low of 5.37 in 2022, before recovering to 5.91 by the end of 2023. These fluctuations indicate variability in the frequency with which supplier obligations are settled relative to the volume of purchases.
Average Payables Payment Period
The average duration for settling payables experienced a sharp decrease from 78 days in 2019 to 55 days in 2020. This was followed by a gradual extension of the payment cycle, which increased to 65 days in 2021 and 68 days in 2022. By 2023, the period contracted again to 62 days. While the payment cycle remains shorter than the 2019 baseline, the data suggests a lack of a linear trend, instead exhibiting a fluctuating pattern of liquidity management regarding short-term liabilities.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?


Cash Conversion Cycle

Corning Inc., 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 112 109 100 114 113
Average receivable collection period 46 44 52 69 58
Average payables payment period 62 68 65 55 78
Short-term Activity Ratio
Cash conversion cycle1 96 85 87 128 93
Benchmarks
Cash Conversion Cycle, Competitors2
Apple Inc. -68 -71 -57 — —
Arista Networks Inc. 311 303 217 — —
Cisco Systems Inc. 60 53 26 — —
Dell Technologies Inc. -18 -51 -53 — —
Lumentum Holdings Inc. 129 96 77 — —
Super Micro Computer Inc. 100 133 100 — —
Cash Conversion Cycle, Sector
Technology Hardware & Equipment -42 -54 -49 — —
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
= 112 + 46 – 62 = 96

2 Click competitor name to see calculations.


The analysis of short-term operating activity from 2019 to 2023 reveals a volatile but generally stabilizing cash conversion cycle. A significant peak in the cycle occurred in 2020, followed by a period of optimization and a slight recent increase in the duration required to convert resources into cash.

Average Inventory Processing Period
Inventory turnover remained relatively consistent throughout the period, fluctuating between a low of 100 days in 2021 and a high of 114 days in 2020. After a notable improvement in 2021, the processing period trended upward again, reaching 112 days by the end of 2023, suggesting a slight deceleration in inventory movement.
Average Receivable Collection Period
A distinct improvement in collection efficiency is observable following a spike to 69 days in 2020. The collection period declined steadily over the subsequent three years, reaching a low of 44 days in 2022 and stabilizing at 46 days in 2023. This downward trend indicates more effective credit management and faster conversion of receivables into cash.
Average Payables Payment Period
The payment period experienced significant volatility, dropping sharply from 78 days in 2019 to 55 days in 2020. This was followed by a gradual extension of payment terms, peaking at 68 days in 2022 before contracting to 62 days in 2023. These fluctuations reflect changes in supplier credit terms or shifts in working capital management strategies.
Cash Conversion Cycle (CCC)
The overall cash conversion cycle peaked at 128 days in 2020, driven by the simultaneous increase in receivable collection times and the reduction in payables payment periods. A substantial correction occurred in 2021 and 2022, with the cycle dropping to 87 and 85 days respectively. However, the cycle increased to 96 days in 2023, primarily influenced by the rise in inventory processing time and a reduction in the payables payment period.

AI Ask an analyst for more

Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.

How can I help you?