Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Turnover Ratios
Average No. Days
Based on: 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), 10-K (reporting date: 2018-12-31).
Analysis of short-term activity ratios reveals a general trend of lengthening operational cycles and a decline in asset turnover efficiency between 2018 and 2022.
- Inventory and Receivables Management
- A downward trend is observed in both inventory and receivables turnover. Inventory turnover decreased from 5.00 in 2018 to 4.10 in 2022, which is reflected in the average inventory processing period increasing from 73 to 89 days. Receivables turnover also declined from 4.05 to 3.50 over the same period, leading to an extension of the average collection period from 90 to 104 days.
- Payables and Cash Conversion Cycle
- The payables turnover ratio showed volatility, fluctuating from 5.21 in 2018 to a low of 4.03 in 2020 before settling at 4.46 in 2022. This contributed to a shift in the average payables payment period, which ended at 82 days in 2022 compared to 70 days in 2018. The combined effect of slower inventory movement and collection periods resulted in the operating cycle expanding from 163 to 193 days. Consequently, the cash conversion cycle lengthened from 93 days to 111 days, indicating that capital is tied up in operating activities for a longer duration.
- Working Capital Productivity
- Despite the slowing of individual asset turnover ratios, working capital turnover experienced a substantial increase, rising from 1.87 in 2018 to 6.03 in 2022. This sharp increase suggests a significant growth in revenue generated per unit of working capital invested, indicating high operational leverage in the later years of the analyzed period.
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Inventory Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of revenue | 1,084,900) | 783,000) | 570,000) | 505,900) | 450,400) | |
| Inventory | 264,600) | 175,800) | 139,800) | 117,900) | 90,000) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 4.10 | 4.45 | 4.08 | 4.29 | 5.00 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Cadence Design Systems Inc. | 2.90 | 2.65 | — | — | — | |
| International Business Machines Corp. | 17.94 | 15.68 | — | — | — | |
| Microsoft Corp. | 16.74 | 19.81 | — | — | — | |
| Synopsys Inc. | 5.02 | 3.76 | 4.13 | — | — | |
| Inventory Turnover, Sector | ||||||
| Software & Services | 28.58 | 29.30 | — | — | — | |
| Inventory Turnover, Industry | ||||||
| Information Technology | 8.63 | 10.48 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Inventory turnover = Cost of revenue ÷ Inventory
= 1,084,900 ÷ 264,600 = 4.10
2 Click competitor name to see calculations.
Between 2018 and 2022, a significant expansion in operational scale was observed, characterized by substantial increases in both the cost of revenue and total inventory holdings. Despite this growth, the inventory turnover ratio remained relatively stable, albeit with a slight downward trajectory from its initial peak.
- Operational Scale and Asset Growth
- The cost of revenue rose from 450.4 million US dollars in 2018 to 1.08 billion US dollars in 2022, representing a marked increase in the volume of goods and services delivered. Concurrently, inventory levels grew from 90 million US dollars to 264.6 million US dollars. The growth in inventory holdings outpaced the growth in the cost of revenue over this five-year period.
- Inventory Turnover Volatility
- The inventory turnover ratio exhibited a general decline from 5.00 in 2018 to 4.10 in 2022. A period of contraction was noted between 2018 and 2020, where the ratio fell to its lowest point of 4.08. A temporary recovery occurred in 2021, with the ratio increasing to 4.45, before returning to 4.10 at the end of 2022.
- Efficiency and Inventory Management
- The overall reduction in the turnover ratio indicates a slight decrease in the velocity of inventory movement. This suggests that the company is holding inventory for longer durations than in 2018. The divergence between the rapid accumulation of inventory and the more moderate growth in cost of revenue points toward a potential increase in safety stock or a strategic adjustment in supply chain management to mitigate shortages.
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Receivables Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Revenue | 4,417,400) | 3,342,200) | 2,594,400) | 2,156,200) | 1,801,200) | |
| Accounts receivable, net of allowance for credit losses | 1,261,700) | 807,700) | 720,000) | 544,300) | 444,500) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 3.50 | 4.14 | 3.60 | 3.96 | 4.05 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Accenture PLC | 5.87 | 5.74 | — | — | — | |
| Adobe Inc. | 8.53 | 8.41 | 9.20 | — | — | |
| AppLovin Corp. | 4.01 | 5.43 | — | — | — | |
| Cadence Design Systems Inc. | 7.32 | 8.85 | — | — | — | |
| Datadog Inc. | 4.19 | 3.83 | — | — | — | |
| International Business Machines Corp. | 9.25 | 8.49 | — | — | — | |
| Intuit Inc. | 28.53 | 24.64 | — | — | — | |
| Microsoft Corp. | 4.48 | 4.42 | — | — | — | |
| Oracle Corp. | 7.13 | 7.48 | — | — | — | |
| Palantir Technologies Inc. | 7.38 | 8.08 | — | — | — | |
| Palo Alto Networks Inc. | 2.57 | 3.43 | — | — | — | |
| Salesforce Inc. | 2.72 | 2.73 | — | — | — | |
| ServiceNow Inc. | 4.20 | 4.24 | — | — | — | |
| Synopsys Inc. | 6.38 | 7.40 | 4.72 | — | — | |
| Workday Inc. | 4.14 | 4.18 | — | — | — | |
| Receivables Turnover, Sector | ||||||
| Software & Services | 5.19 | 5.23 | — | — | — | |
| Receivables Turnover, Industry | ||||||
| Information Technology | 7.39 | 7.51 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Receivables turnover = Revenue ÷ Accounts receivable, net of allowance for credit losses
= 4,417,400 ÷ 1,261,700 = 3.50
2 Click competitor name to see calculations.
The financial trajectory from 2018 to 2022 is characterized by aggressive revenue expansion, accompanied by a corresponding increase in net accounts receivable. While revenue grew steadily from US$ 1.8 billion to US$ 4.4 billion, the growth in receivables exhibited a more pronounced acceleration in the final year of the period.
- Receivables Turnover Trend
- The receivables turnover ratio demonstrated volatility over the five-year period. Starting at 4.05 in 2018, the ratio experienced a moderate decline through 2020, reaching 3.60. A notable recovery occurred in 2021, with the ratio peaking at 4.14, indicating a period of improved collection efficiency. However, this trend reversed in 2022, with the ratio falling to 3.50, the lowest level observed in the analyzed timeframe.
- Revenue and Asset Correlation
- Consistent revenue growth is evident, with a significant surge between 2021 and 2022. During this specific interval, net accounts receivable increased from US$ 807.7 million to US$ 1.26 billion, representing a growth rate that outpaced the increase in revenue. This divergence contributed directly to the contraction of the turnover ratio.
- Collection Efficiency Insights
- The decrease in the turnover ratio to 3.50 in 2022 suggests a deceleration in the conversion of receivables into cash. This pattern may indicate an intentional extension of credit terms to support higher sales volumes, a shift in the customer base toward clients with longer payment cycles, or a general reduction in collection velocity relative to the rapid scale of business growth.
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Payables Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of revenue | 1,084,900) | 783,000) | 570,000) | 505,900) | 450,400) | |
| Accounts payable | 243,400) | 148,400) | 141,600) | 96,400) | 86,400) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 4.46 | 5.28 | 4.03 | 5.25 | 5.21 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Accenture PLC | 16.37 | 15.03 | — | — | — | |
| Adobe Inc. | 5.71 | 5.98 | 5.63 | — | — | |
| AppLovin Corp. | 4.60 | 3.83 | — | — | — | |
| Cadence Design Systems Inc. | 7.89 | — | — | — | — | |
| Datadog Inc. | 14.77 | 9.27 | — | — | — | |
| International Business Machines Corp. | 6.87 | 6.54 | — | — | — | |
| Intuit Inc. | 3.26 | 2.70 | — | — | — | |
| Microsoft Corp. | 3.30 | 3.44 | — | — | — | |
| Oracle Corp. | 6.74 | 10.54 | — | — | — | |
| Palantir Technologies Inc. | 9.12 | 4.53 | — | — | — | |
| Palo Alto Networks Inc. | 13.43 | 22.41 | — | — | — | |
| Salesforce Inc. | — | — | — | — | — | |
| ServiceNow Inc. | 5.74 | 15.20 | — | — | — | |
| Synopsys Inc. | 28.30 | 31.44 | 26.49 | — | — | |
| Workday Inc. | 25.74 | 15.85 | — | — | — | |
| Payables Turnover, Sector | ||||||
| Software & Services | 5.57 | 5.73 | — | — | — | |
| Payables Turnover, Industry | ||||||
| Information Technology | 4.24 | 4.63 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Payables turnover = Cost of revenue ÷ Accounts payable
= 1,084,900 ÷ 243,400 = 4.46
2 Click competitor name to see calculations.
A comprehensive analysis of the operating activity reveals a significant expansion in the scale of operations between 2018 and 2022. The cost of revenue demonstrated consistent growth, increasing from 450.4 million to 1.08 billion, which indicates a substantial rise in the volume of goods and services procured to support business activities. During the same period, accounts payable grew from 86.4 million to 243.4 million, reflecting a corresponding increase in short-term obligations to suppliers.
- Cost of Revenue and Liability Scaling
- The cost of revenue more than doubled over the five-year period, with the most pronounced increase occurring between 2021 and 2022. Accounts payable followed a similar upward trajectory, though the growth was non-linear, with a notable surge in liabilities observed in 2020 and 2022.
- Payables Turnover Volatility
- The payables turnover ratio exhibited fluctuations rather than a steady trend. The ratio remained stable between 2018 and 2019 at approximately 5.2, followed by a sharp decline to 4.03 in 2020. This decline suggests a slower turnover of payables, implying either an extension of credit terms from suppliers or a strategic decision to delay payments to preserve cash. A recovery to 5.28 occurred in 2021, before the ratio moderated to 4.46 by the end of 2022.
- Working Capital Implications
- The lack of a linear trend in the turnover ratio indicates variable efficiency in managing supplier obligations. The dip in 2020 and the subsequent decrease in 2022 suggest periods where the company increased its reliance on supplier financing. However, the overall ability to maintain a ratio between 4.0 and 5.3 indicates a relatively consistent cycle of settling short-term liabilities relative to the cost of goods sold.
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Working Capital Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Current assets | 3,810,400) | 3,600,600) | 2,740,400) | 2,769,000) | 2,220,900) | |
| Less: Current liabilities | 3,078,400) | 2,318,100) | 1,829,500) | 1,473,600) | 1,256,400) | |
| Working capital | 732,000) | 1,282,500) | 910,900) | 1,295,400) | 964,500) | |
| Revenue | 4,417,400) | 3,342,200) | 2,594,400) | 2,156,200) | 1,801,200) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 6.03 | 2.61 | 2.85 | 1.66 | 1.87 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Accenture PLC | 15.07 | 12.77 | — | — | — | |
| Adobe Inc. | 20.28 | 9.09 | 4.89 | — | — | |
| AppLovin Corp. | 2.07 | 1.08 | — | — | — | |
| Cadence Design Systems Inc. | 9.92 | 4.01 | — | — | — | |
| Datadog Inc. | 1.06 | 0.77 | — | — | — | |
| International Business Machines Corp. | — | — | — | — | — | |
| Intuit Inc. | 8.98 | 3.85 | — | — | — | |
| Microsoft Corp. | 2.66 | 1.76 | — | — | — | |
| Oracle Corp. | 3.50 | 1.29 | — | — | — | |
| Palantir Technologies Inc. | 0.78 | 0.70 | — | — | — | |
| Palo Alto Networks Inc. | — | — | — | — | — | |
| Salesforce Inc. | 24.95 | 5.11 | — | — | — | |
| ServiceNow Inc. | 11.16 | 21.76 | — | — | — | |
| Synopsys Inc. | 21.34 | 10.65 | 9.00 | — | — | |
| Workday Inc. | 35.15 | 8.31 | — | — | — | |
| Working Capital Turnover, Sector | ||||||
| Software & Services | 4.68 | 2.73 | — | — | — | |
| Working Capital Turnover, Industry | ||||||
| Information Technology | 6.38 | 4.29 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Working capital turnover = Revenue ÷ Working capital
= 4,417,400 ÷ 732,000 = 6.03
2 Click competitor name to see calculations.
A significant divergence is observed between the steady growth of revenue and the fluctuations in working capital from 2018 to 2022. While revenue experienced uninterrupted annual growth, working capital exhibited volatility, ultimately declining to its lowest level in the analyzed period by 2022. This combination has led to a substantial increase in the efficiency of working capital utilization relative to sales generation.
- Revenue Growth Patterns
- Revenue demonstrated a consistent upward trajectory over the five-year period, rising from US$ 1,801,200 thousand in 2018 to US$ 4,417,400 thousand in 2022. This represents a strong and steady expansion of the company's top-line performance.
- Working Capital Volatility
- Working capital did not follow a linear trend, peaking at US$ 1,295,400 thousand in 2019 before experiencing a series of fluctuations. By December 31, 2022, working capital decreased to US$ 732,000 thousand, the lowest value recorded in the period, despite the concurrent increase in total revenue.
- Working Capital Turnover Dynamics
- The working capital turnover ratio remained relatively stable between 1.66 and 2.85 from 2019 to 2021. However, a sharp acceleration is observed in 2022, where the ratio climbed to 6.03. This dramatic increase indicates a heightened ability to generate revenue with a smaller base of working capital, suggesting an optimization of short-term assets and liabilities or a shift in the operational cycle that allows for leaner capital requirements to support higher sales volumes.
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Average Inventory Processing Period
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Inventory turnover | 4.10 | 4.45 | 4.08 | 4.29 | 5.00 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 89 | 82 | 90 | 85 | 73 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Cadence Design Systems Inc. | 126 | 138 | — | — | — | |
| International Business Machines Corp. | 20 | 23 | — | — | — | |
| Microsoft Corp. | 22 | 18 | — | — | — | |
| Synopsys Inc. | 73 | 97 | 88 | — | — | |
| Average Inventory Processing Period, Sector | ||||||
| Software & Services | 13 | 12 | — | — | — | |
| Average Inventory Processing Period, Industry | ||||||
| Information Technology | 42 | 35 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 4.10 = 89
2 Click competitor name to see calculations.
An analysis of the inventory management metrics from 2018 to 2022 reveals a general decline in inventory turnover efficiency and a corresponding increase in the time required to process inventory.
- Inventory Turnover Ratio
- A downward trend in the inventory turnover ratio is observed over the analyzed period. The ratio peaked at 5.00 in 2018 before declining to a low of 4.08 in 2020. Although a partial recovery occurred in 2021, with the ratio rising to 4.45, it subsequently fell again to 4.10 by the end of 2022. This fluctuation suggests an overall reduction in the frequency with which inventory is replaced during the fiscal year.
- Average Inventory Processing Period
- The average inventory processing period exhibits an inverse relationship with the turnover ratio, increasing from 73 days in 2018 to 89 days in 2022. The period reached its maximum duration of 90 days in 2020, coinciding with the lowest turnover ratio. Similar to the turnover trend, a temporary improvement was noted in 2021, where the processing period dropped to 82 days, before increasing again in 2022.
- Operational Efficiency Analysis
- The data indicates a degradation in short-term operating efficiency regarding inventory management. The increase of 16 days in the processing period between 2018 and 2022 suggests that capital is tied up in inventory for longer durations. The volatility observed between 2020 and 2022 indicates inconsistent inventory throughput, though the company has failed to return to the efficiency levels established in 2018.
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Average Receivable Collection Period
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Receivables turnover | 3.50 | 4.14 | 3.60 | 3.96 | 4.05 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 104 | 88 | 101 | 92 | 90 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Accenture PLC | 62 | 64 | — | — | — | |
| Adobe Inc. | 43 | 43 | 40 | — | — | |
| AppLovin Corp. | 91 | 67 | — | — | — | |
| Cadence Design Systems Inc. | 50 | 41 | — | — | — | |
| Datadog Inc. | 87 | 95 | — | — | — | |
| International Business Machines Corp. | 39 | 43 | — | — | — | |
| Intuit Inc. | 13 | 15 | — | — | — | |
| Microsoft Corp. | 81 | 83 | — | — | — | |
| Oracle Corp. | 51 | 49 | — | — | — | |
| Palantir Technologies Inc. | 49 | 45 | — | — | — | |
| Palo Alto Networks Inc. | 142 | 106 | — | — | — | |
| Salesforce Inc. | 134 | 134 | — | — | — | |
| ServiceNow Inc. | 87 | 86 | — | — | — | |
| Synopsys Inc. | 57 | 49 | 77 | — | — | |
| Workday Inc. | 88 | 87 | — | — | — | |
| Average Receivable Collection Period, Sector | ||||||
| Software & Services | 70 | 70 | — | — | — | |
| Average Receivable Collection Period, Industry | ||||||
| Information Technology | 49 | 49 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 3.50 = 104
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a general lengthening of the cycle required to convert accounts receivable into cash between 2018 and 2022, characterized by notable volatility in the final two years of the period.
- Receivables Turnover Analysis
- The receivables turnover ratio experienced a fluctuating trend over the five-year period. After starting at 4.05 in 2018, the ratio decreased to 3.60 by 2020. A temporary recovery was observed in 2021, where the ratio peaked at 4.14, before declining to its lowest point of 3.50 in 2022. This downward movement in the final year suggests a reduction in the velocity of receivable collections.
- Average Receivable Collection Period Trends
- The average collection period moved in inverse correlation with the turnover ratio. The period expanded from 90 days in 2018 to 101 days in 2020. While a significant improvement occurred in 2021, with the collection period dropping to its lowest level of 88 days, this gain was reversed in 2022. By the end of 2022, the collection period reached its peak of 104 days.
- Operational Insights
- The expansion of the collection period from 90 to 104 days over the analyzed timeframe indicates a decline in short-term asset liquidity. The sharp contrast between the 2021 efficiency peak and the 2022 low suggests a potential shift in credit policies, an increase in customer payment delays, or a change in the composition of the receivables portfolio during the final year.
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Operating Cycle
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 89 | 82 | 90 | 85 | 73 | |
| Average receivable collection period | 104 | 88 | 101 | 92 | 90 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 193 | 170 | 191 | 177 | 163 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Cadence Design Systems Inc. | 176 | 179 | — | — | — | |
| International Business Machines Corp. | 59 | 66 | — | — | — | |
| Microsoft Corp. | 103 | 101 | — | — | — | |
| Synopsys Inc. | 130 | 146 | 165 | — | — | |
| Operating Cycle, Sector | ||||||
| Software & Services | 83 | 82 | — | — | — | |
| Operating Cycle, Industry | ||||||
| Information Technology | 91 | 84 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 89 + 104 = 193
2 Click competitor name to see calculations.
The operating cycle demonstrates a general upward trend over the analyzed five-year period, indicating a lengthening of the duration required to convert current assets into cash. Although a temporary improvement occurred in 2021, the overall trajectory reflects a decrease in operational efficiency, culminating in a five-year peak in 2022.
- Average Inventory Processing Period
- An overall increase is observed, with the period rising from 73 days in 2018 to 89 days in 2022. The processing time remained consistently higher after 2018, fluctuating between 82 and 90 days, which suggests a slower rate of inventory turnover over the medium term.
- Average Receivable Collection Period
- Collection efficiency has exhibited volatility, starting at 90 days in 2018 and ending at 104 days in 2022. A notable contraction occurred in 2021, when the period dropped to 88 days, the lowest point in the series; however, this was followed by a sharp increase to the maximum duration of 104 days in 2022.
- Operating Cycle
- The total operating cycle extended from 163 days in 2018 to 193 days in 2022. The expansion of this cycle is driven by the combined effect of slower inventory processing and elongated receivable collection times, with the 2021 decline representing a transient recovery in liquidity movement.
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Average Payables Payment Period
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Payables turnover | 4.46 | 5.28 | 4.03 | 5.25 | 5.21 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 82 | 69 | 91 | 70 | 70 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Accenture PLC | 22 | 24 | — | — | — | |
| Adobe Inc. | 64 | 61 | 65 | — | — | |
| AppLovin Corp. | 79 | 95 | — | — | — | |
| Cadence Design Systems Inc. | 46 | — | — | — | — | |
| Datadog Inc. | 25 | 39 | — | — | — | |
| International Business Machines Corp. | 53 | 56 | — | — | — | |
| Intuit Inc. | 112 | 135 | — | — | — | |
| Microsoft Corp. | 111 | 106 | — | — | — | |
| Oracle Corp. | 54 | 35 | — | — | — | |
| Palantir Technologies Inc. | 40 | 81 | — | — | — | |
| Palo Alto Networks Inc. | 27 | 16 | — | — | — | |
| Salesforce Inc. | — | — | — | — | — | |
| ServiceNow Inc. | 64 | 24 | — | — | — | |
| Synopsys Inc. | 13 | 12 | 14 | — | — | |
| Workday Inc. | 14 | 23 | — | — | — | |
| Average Payables Payment Period, Sector | ||||||
| Software & Services | 66 | 64 | — | — | — | |
| Average Payables Payment Period, Industry | ||||||
| Information Technology | 86 | 79 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 4.46 = 82
2 Click competitor name to see calculations.
The analysis of operating activity ratios reveals a fluctuating trend in the management of accounts payable between 2018 and 2022. The relationship between payables turnover and the average payment period demonstrates a consistent inverse correlation, where lower turnover ratios correspond to extended payment durations.
- Payables Turnover Trends
- The payables turnover ratio remained relatively stable between 2018 and 2019, recorded at 5.21 and 5.25 respectively. A notable decline occurred in 2020, where the ratio dropped to 4.03, indicating a slower rate of supplier payment. This was followed by a recovery in 2021 to a five-year peak of 5.28, before declining again to 4.46 by the end of 2022.
- Average Payables Payment Period Analysis
- The duration for settling obligations remained constant at 70 days through 2018 and 2019. A significant expansion of the payment cycle occurred in 2020, with the period increasing to 91 days, suggesting a strategic extension of credit usage or changes in supplier terms. This trend reversed sharply in 2021, with the period contracting to 69 days, the lowest point in the observed timeframe. However, by 2022, the payment period increased again to 82 days.
- Operational Implications
- The volatility observed in the payment period—ranging from a minimum of 69 days to a maximum of 91 days—indicates inconsistent working capital management regarding accounts payable. The shift from 69 days in 2021 to 82 days in 2022 suggests a return toward extending the payment cycle to preserve cash flow.
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Cash Conversion Cycle
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 89 | 82 | 90 | 85 | 73 | |
| Average receivable collection period | 104 | 88 | 101 | 92 | 90 | |
| Average payables payment period | 82 | 69 | 91 | 70 | 70 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 111 | 101 | 100 | 107 | 93 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Cadence Design Systems Inc. | 130 | — | — | — | — | |
| International Business Machines Corp. | 6 | 10 | — | — | — | |
| Microsoft Corp. | -8 | -5 | — | — | — | |
| Synopsys Inc. | 117 | 134 | 151 | — | — | |
| Cash Conversion Cycle, Sector | ||||||
| Software & Services | 17 | 18 | — | — | — | |
| Cash Conversion Cycle, Industry | ||||||
| Information Technology | 5 | 5 | — | — | — | |
Based on: 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), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 89 + 104 – 82 = 111
2 Click competitor name to see calculations.
The cash conversion cycle demonstrates a general upward trend over the five-year period, expanding from 93 days in 2018 to 111 days by the end of 2022. This expansion indicates a deceleration in the efficiency of working capital management, as more time is required to convert resource inputs into cash flows.
- Inventory Processing Period
- The average time to process inventory grew from 73 days in 2018 to 89 days in 2022. While a brief improvement occurred in 2021, the overall trend reflects a lengthening of the inventory cycle, which increases the capital tied up in unsold goods.
- Receivable Collection Period
- The period for collecting receivables exhibits volatility with a net increase, rising from 90 days in 2018 to a peak of 104 days in 2022. The most significant increase occurred between 2021 and 2022, suggesting a slowdown in payment receipts from customers or a relaxation of credit terms.
- Payables Payment Period
- The average payment period to suppliers shows significant fluctuations, ranging from a low of 69 days in 2021 to a high of 91 days in 2020. The inconsistency in this metric indicates shifting terms regarding supplier obligations, which intermittently offset the delays in inventory and receivables.
- Overall Cash Conversion Cycle Dynamics
- The net increase in the cash conversion cycle is primarily driven by the combined effect of slower inventory turnover and longer collection periods. The increase to 111 days in 2022 represents the highest point in the observed period, signaling a less efficient liquidity cycle compared to the baseline established in 2018.
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