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).
An analysis of the short-term activity ratios reveals a period of significant volatility centered around the 2020 fiscal year, followed by a partial recovery and subsequent stabilization. The operational efficiency of the company is characterized by very rapid inventory turnover and relatively short collection and payment cycles, though these metrics experienced notable disruptions between 2020 and 2022.
- Asset Turnover and Management Efficiency
- Inventory turnover remained high throughout the period but showed a sharp decline from 199.26 in 2018 to a low of 81.50 in 2020, before fluctuating to 87.86 by 2022. This is mirrored in the average inventory processing period, which remained extremely lean, shifting between 2 and 4 days. Receivables turnover exhibited a similar pattern, dropping to its lowest point of 10.69 in 2020 before peaking at 20.96 in 2021 and settling at 15.39 in 2022. The average receivable collection period expanded to 34 days in 2020, indicating a temporary slowdown in credit collection efficiency during that period.
- Liability and Working Capital Dynamics
- Payables turnover peaked in 2019 at 45.85 and reached a minimum of 26.61 in 2020, suggesting a slowdown in the rate at which obligations were settled. The average payables payment period remained short, ranging from 8 to 14 days, indicating a consistent strategy of rapid supplier payment. A significant shift is observed in working capital turnover, which spiked to 10.78 in 2020 before dropping precipitously to 1.44 in 2021 and 1.45 in 2022, suggesting a fundamental change in the relationship between working capital levels and revenue generation.
- Operational and Cash Conversion Cycles
- The operating cycle followed a trajectory of expansion and contraction, rising from 21 days in 2018 to a peak of 38 days in 2020, before dropping to 20 days in 2021 and increasing again to 28 days in 2022. The cash conversion cycle reflects this volatility, peaking at 24 days in 2020 and reaching its most efficient point of 9 days in 2021. The widening of the cash conversion cycle to 15 days in 2022 indicates a slight decrease in the speed at which cash is recovered from operations compared to the previous year.
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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 millions) | ||||||
| Cost of revenues | 2,460) | 2,626) | 2,608) | 6,832) | 6,974) | |
| Inventories | 28) | 22) | 32) | 37) | 35) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 87.86 | 119.36 | 81.50 | 184.65 | 199.26 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Chipotle Mexican Grill Inc. | 184.27 | 177.91 | — | — | — | |
| McDonald’s Corp. | 141.94 | 144.74 | — | — | — | |
| Starbucks Corp. | 10.97 | 12.89 | 11.90 | — | — | |
| Inventory Turnover, Sector | ||||||
| Consumer Services | 26.50 | 28.96 | — | — | — | |
| Inventory Turnover, Industry | ||||||
| Consumer Discretionary | 6.70 | 7.06 | — | — | — | |
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 revenues ÷ Inventories
= 2,460 ÷ 28 = 87.86
2 Click competitor name to see calculations.
An analysis of short-term operating activity reveals a significant contraction in operational scale and volatility in efficiency metrics between 2018 and 2022. The most prominent trend is the sharp decline in the cost of revenues starting in 2020, which directly influenced the inventory turnover performance.
- Cost of Revenues Trends
- A substantial reduction in the cost of revenues is observed beginning in 2020. After maintaining levels above 6,800 million US$ in 2018 and 2019, the figure plummeted to 2,608 million US$ in 2020. This represents a contraction of approximately 61.8% within a single year. Following this drop, costs remained relatively stagnant, with a slight increase to 2,626 million US$ in 2021 and a subsequent dip to 2,460 million US$ in 2022.
- Inventory Level Stability
- Inventories remained consistently low and relatively stable throughout the five-year period, fluctuating between a high of 37 million US$ in 2019 and a low of 22 million US$ in 2021. The minimal variance in inventory holdings relative to the massive swings in revenue costs indicates that physical inventory represents a very small portion of the total operating structure.
- Inventory Turnover Performance
- The inventory turnover ratio experienced significant volatility. In 2018 and 2019, the ratio was exceptionally high at 199.26 and 184.65, respectively, suggesting a near-instantaneous movement of goods. This efficiency dropped sharply to 81.50 in 2020, coinciding with the collapse in the cost of revenues. Although a recovery to 119.36 was noted in 2021, the ratio declined again to 87.86 by the end of 2022. Despite these declines, the turnover rates remain objectively high, although they indicate a diminished pace of inventory circulation compared to pre-2020 levels.
The correlation between the drastic reduction in the cost of revenues and the decrease in inventory turnover suggests that the operational slowdown outweighed the company's ability to reduce inventory levels proportionally. The resulting fluctuations indicate an environment of operational instability during the latter half of the analyzed period.
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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 millions) | ||||||
| Net revenues | 4,110) | 4,234) | 3,612) | 13,739) | 13,729) | |
| Accounts receivable, net of provision for credit losses | 267) | 202) | 338) | 844) | 726) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 15.39 | 20.96 | 10.69 | 16.28 | 18.91 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Airbnb Inc. | 52.17 | 53.67 | — | — | — | |
| Booking Holdings Inc. | 7.67 | 8.07 | — | — | — | |
| Chipotle Mexican Grill Inc. | 80.79 | 75.77 | — | — | — | |
| DoorDash, Inc. | 16.46 | 14.01 | — | — | — | |
| McDonald’s Corp. | 4.14 | 5.23 | — | — | — | |
| Starbucks Corp. | 27.44 | 30.92 | 26.62 | — | — | |
| Receivables Turnover, Sector | ||||||
| Consumer Services | 13.21 | 14.42 | — | — | — | |
| Receivables Turnover, Industry | ||||||
| Consumer Discretionary | 17.95 | 21.17 | — | — | — | |
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 = Net revenues ÷ Accounts receivable, net of provision for credit losses
= 4,110 ÷ 267 = 15.39
2 Click competitor name to see calculations.
The financial data from 2018 to 2022 reveals a period of extreme volatility in both top-line revenue and the efficiency of receivables management. A dramatic contraction in net revenues occurred in 2020, which fundamentally altered the scale of accounts receivable and the resulting turnover ratios.
- Revenue and Accounts Receivable Trends
- Net revenues remained stable between 2018 and 2019 at approximately US$ 13.7 billion before experiencing a sharp decline to US$ 3.6 billion in 2020. Accounts receivable followed a similar trajectory, peaking in 2019 at US$ 844 million and falling to a low of US$ 202 million by 2021. This correlation suggests that the reduction in receivables was primarily driven by the substantial decrease in overall business volume rather than a strategic change in credit policy.
- Receivables Turnover Analysis
- The receivables turnover ratio exhibited significant fluctuation, declining from 18.91 in 2018 to a period low of 10.69 in 2020. This decline indicates a slowing of the collection cycle relative to the diminished revenue stream during the 2020 fiscal year. However, a sharp reversal occurred in 2021, where the ratio spiked to 20.96, the highest point in the five-year period, indicating a highly accelerated conversion of receivables to cash.
- Operational Stabilization
- By 2022, the receivables turnover ratio normalized to 15.39. While this represents a decrease from the 2021 peak, it indicates a return toward pre-crisis levels. The simultaneous slight increase in accounts receivable to US$ 267 million and the stabilization of revenues at US$ 4.11 billion suggest a transition toward a more consistent, albeit lower, operational baseline compared to the 2018-2019 period.
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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 millions) | ||||||
| Cost of revenues | 2,460) | 2,626) | 2,608) | 6,832) | 6,974) | |
| Accounts payable | 89) | 77) | 98) | 149) | 178) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 27.64 | 34.10 | 26.61 | 45.85 | 39.18 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Airbnb Inc. | 10.94 | 9.77 | — | — | — | |
| Booking Holdings Inc. | 6.82 | 6.91 | — | — | — | |
| Chipotle Mexican Grill Inc. | 35.61 | 35.79 | — | — | — | |
| DoorDash, Inc. | 22.85 | 14.52 | — | — | — | |
| McDonald’s Corp. | 7.53 | 7.99 | — | — | — | |
| Starbucks Corp. | 16.57 | 17.06 | 18.50 | — | — | |
| Payables Turnover, Sector | ||||||
| Consumer Services | 11.10 | 11.54 | — | — | — | |
| Payables Turnover, Industry | ||||||
| Consumer Discretionary | 4.82 | 4.67 | — | — | — | |
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 revenues ÷ Accounts payable
= 2,460 ÷ 89 = 27.64
2 Click competitor name to see calculations.
The analysis of operating activity ratios reveals a significant contraction in expenditure and a fluctuating efficiency in managing supplier obligations between 2018 and 2022. A primary observation is the substantial reduction in the cost of revenues, which declined from 6,974 million USD in 2018 to 2,460 million USD by 2022, marking a sharp transition in operational scale starting in 2020.
- Cost of Revenues and Accounts Payable Correlation
- A strong positive correlation is observed between the volume of operations and the level of liabilities owed to suppliers. Accounts payable decreased from 178 million USD in 2018 to a low of 77 million USD in 2021, before experiencing a slight increase to 89 million USD in 2022. This downward trajectory mirrors the overall decline in the cost of revenues, suggesting that the reduction in supplier debt was primarily driven by lower procurement volumes rather than a strategic shift in payment policy.
- Payables Turnover Volatility
- The payables turnover ratio exhibited considerable instability over the five-year period. An initial increase from 39.18 in 2018 to a peak of 45.85 in 2019 indicated an acceleration in the rate at which supplier obligations were settled. However, a sharp decline to 26.61 occurred in 2020, suggesting a relative slowing of payments or a lag in the adjustment of payables relative to the collapsing cost of revenues.
- Recent Turnover Trends
- Following the 2020 trough, the turnover ratio recovered to 34.10 in 2021 before retreating to 27.64 in 2022. The decline in 2022, coupled with the slight increase in accounts payable despite falling costs of revenues, indicates a trend toward extending the payment cycle. This suggests a strategic shift toward preserving liquidity by delaying payments to suppliers during the latter stage of the analyzed period.
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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 millions) | ||||||
| Current assets | 6,744) | 5,510) | 2,644) | 5,305) | 5,566) | |
| Less: Current liabilities | 3,902) | 2,565) | 2,309) | 3,224) | 3,157) | |
| Working capital | 2,842) | 2,945) | 335) | 2,081) | 2,409) | |
| Net revenues | 4,110) | 4,234) | 3,612) | 13,739) | 13,729) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 1.45 | 1.44 | 10.78 | 6.60 | 5.70 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Airbnb Inc. | 1.22 | 0.99 | — | — | — | |
| Booking Holdings Inc. | 2.33 | 1.59 | — | — | — | |
| Chipotle Mexican Grill Inc. | 34.00 | 14.86 | — | — | — | |
| DoorDash, Inc. | 3.03 | 1.74 | — | — | — | |
| McDonald’s Corp. | 5.39 | 3.13 | — | — | — | |
| Starbucks Corp. | — | 18.11 | 51.17 | — | — | |
| Working Capital Turnover, Sector | ||||||
| Consumer Services | 5.07 | 3.25 | — | — | — | |
| Working Capital Turnover, Industry | ||||||
| Consumer Discretionary | 18.11 | 10.77 | — | — | — | |
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 = Net revenues ÷ Working capital
= 4,110 ÷ 2,842 = 1.45
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a period of extreme volatility in working capital management and revenue generation between 2018 and 2022. While initial trends indicated increasing operational efficiency, the subsequent years show a significant decoupling between working capital levels and revenue output.
- Revenue and Working Capital Trends
- Net revenues remained stable at approximately 13.7 billion USD through 2019 before experiencing a precipitous decline to 3.6 billion USD in 2020. A partial recovery occurred in 2021 and 2022, with revenues stabilizing around 4.1 to 4.2 billion USD. In contrast, working capital exhibited a sharp contraction in 2020, falling to 335 million USD, followed by a rapid restoration to 2.9 billion USD by 2021.
- Working Capital Turnover Volatility
- The working capital turnover ratio increased from 5.70 in 2018 to 6.60 in 2019, suggesting an improvement in the efficiency of utilizing short-term assets to generate sales. However, the ratio spiked to 10.78 in 2020; this anomaly was driven by the disproportionate collapse of working capital relative to the decline in revenues, rather than an increase in operational efficiency.
- Post-Crisis Efficiency Shift
- A dramatic shift is observed in 2021 and 2022, where the turnover ratio fell to 1.44 and 1.45, respectively. This decline is attributed to the rapid replenishment of working capital to pre-pandemic levels while net revenues remained significantly depressed. The resulting low turnover ratios indicate a substantial decrease in the efficiency of working capital deployment compared to the 2018-2019 baseline.
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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 | 87.86 | 119.36 | 81.50 | 184.65 | 199.26 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 4 | 3 | 4 | 2 | 2 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Chipotle Mexican Grill Inc. | 2 | 2 | — | — | — | |
| McDonald’s Corp. | 3 | 3 | — | — | — | |
| Starbucks Corp. | 33 | 28 | 31 | — | — | |
| Average Inventory Processing Period, Sector | ||||||
| Consumer Services | 14 | 13 | — | — | — | |
| Average Inventory Processing Period, Industry | ||||||
| Consumer Discretionary | 54 | 52 | — | — | — | |
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 ÷ 87.86 = 4
2 Click competitor name to see calculations.
An analysis of the short-term activity ratios indicates a high level of inventory efficiency, although significant volatility was observed between 2018 and 2022. The company maintains a lean inventory model characterized by rapid turnover and minimal holding periods.
- Inventory Turnover
- The inventory turnover ratio experienced a notable decline over the five-year period. High efficiency was recorded in 2018 and 2019, with ratios of 199.26 and 184.65, respectively. A sharp contraction occurred in 2020, where the ratio fell to 81.50. While a partial recovery was observed in 2021 with an increase to 119.36, the ratio declined again to 87.86 by the end of 2022, representing a substantial decrease from the 2018 peak.
- Average Inventory Processing Period
- The duration required to process inventory remained consistently low, though it fluctuated between two and four days. For the years 2018 and 2019, the processing period was stable at two days. This period doubled to four days in 2020, reflecting the slowdown in turnover. A slight improvement to three days was noted in 2021, before the processing period returned to four days in 2022.
The correlation between the decreasing turnover ratio and the increasing processing period suggests a reduction in the velocity of inventory movement. Despite these fluctuations, the processing period remains exceptionally short, indicating that the nature of the inventory is likely composed of highly perishable or fast-moving goods that do not require long-term storage.
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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 | 15.39 | 20.96 | 10.69 | 16.28 | 18.91 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 24 | 17 | 34 | 22 | 19 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Airbnb Inc. | 7 | 7 | — | — | — | |
| Booking Holdings Inc. | 48 | 45 | — | — | — | |
| Chipotle Mexican Grill Inc. | 5 | 5 | — | — | — | |
| DoorDash, Inc. | 22 | 26 | — | — | — | |
| McDonald’s Corp. | 88 | 70 | — | — | — | |
| Starbucks Corp. | 13 | 12 | 14 | — | — | |
| Average Receivable Collection Period, Sector | ||||||
| Consumer Services | 28 | 25 | — | — | — | |
| Average Receivable Collection Period, Industry | ||||||
| Consumer Discretionary | 20 | 17 | — | — | — | |
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 ÷ 15.39 = 24
2 Click competitor name to see calculations.
The analysis of short-term operating activity between 2018 and 2022 reveals significant volatility in receivable management efficiency, characterized by a notable deterioration in 2020 followed by a sharp correction in 2021.
- Receivables Turnover Trends
- A downward trajectory is observed from 2018 to 2020, with the receivables turnover ratio declining from 18.91 to a period low of 10.69. This decline indicates a reduction in the frequency with which average receivables were collected during that interval. A substantial rebound occurred in 2021, where the ratio reached a peak of 20.96, before moderating to 15.39 by the end of 2022.
- Average Receivable Collection Period
- The collection period exhibits an inverse relationship with the turnover ratio, extending from 19 days in 2018 to a peak of 34 days in 2020. This represents the least efficient point of collection within the analyzed timeframe. The cycle contracted sharply in 2021 to its lowest point of 17 days, signifying highly accelerated cash conversion. By 2022, the period extended again to 24 days, suggesting a return toward historical norms but remaining higher than 2018 levels.
- Operational Insights
- The data indicates a systemic disruption in collection efficiency peaking in 2020, which nearly doubled the collection timeframe compared to 2018. The subsequent correction in 2021 suggests an aggressive recovery in cash inflows or a shift in credit terms. The moderate increase in the collection period to 24 days in 2022 indicates a stabilization phase following the extreme volatility experienced between 2020 and 2021.
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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 | 4 | 3 | 4 | 2 | 2 | |
| Average receivable collection period | 24 | 17 | 34 | 22 | 19 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 28 | 20 | 38 | 24 | 21 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Chipotle Mexican Grill Inc. | 7 | 7 | — | — | — | |
| McDonald’s Corp. | 91 | 73 | — | — | — | |
| Starbucks Corp. | 46 | 40 | 45 | — | — | |
| Operating Cycle, Sector | ||||||
| Consumer Services | 42 | 38 | — | — | — | |
| Operating Cycle, Industry | ||||||
| Consumer Discretionary | 74 | 69 | — | — | — | |
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
= 4 + 24 = 28
2 Click competitor name to see calculations.
The operating cycle demonstrates a pattern of volatility between 2018 and 2022, characterized by a significant expansion in 2020 followed by a partial correction. The duration of the cycle is primarily driven by the timing of receivable collections, as inventory processing remains a negligible component of the overall timeframe.
- Average Inventory Processing Period
- The inventory processing period remained consistently low and stable, ranging from 2 to 4 days. This minimal duration indicates a high turnover rate or a business model that requires very little inventory holding, ensuring that inventory does not act as a bottleneck in the operating cycle.
- Average Receivable Collection Period
- The collection period exhibited the most significant fluctuations. After starting at 19 days in 2018, the period increased to a peak of 34 days in 2020, suggesting a slowdown in the conversion of receivables to cash. A sharp recovery occurred in 2021, with the period dropping to 17 days, before increasing again to 24 days in 2022.
- Operating Cycle
- The total operating cycle mirrored the movements of the receivable collection period. The cycle extended from 21 days in 2018 to a maximum of 38 days in 2020. While it contracted to 20 days in 2021, it ended the period at 28 days in 2022, reflecting an overall increase in the time required to convert operating inputs into cash compared to the 2018 baseline.
Analysis of the trends suggests that operational efficiency is highly sensitive to receivable management. The spike observed in 2020 indicates a period of decreased liquidity efficiency, while the subsequent volatility in 2021 and 2022 points to inconsistent collection performance. Despite these fluctuations, the overall operating cycle remains relatively short, facilitating a rapid cash conversion process.
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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 | 27.64 | 34.10 | 26.61 | 45.85 | 39.18 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 13 | 11 | 14 | 8 | 9 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Airbnb Inc. | 33 | 37 | — | — | — | |
| Booking Holdings Inc. | 54 | 53 | — | — | — | |
| Chipotle Mexican Grill Inc. | 10 | 10 | — | — | — | |
| DoorDash, Inc. | 16 | 25 | — | — | — | |
| McDonald’s Corp. | 48 | 46 | — | — | — | |
| Starbucks Corp. | 22 | 21 | 20 | — | — | |
| Average Payables Payment Period, Sector | ||||||
| Consumer Services | 33 | 32 | — | — | — | |
| Average Payables Payment Period, Industry | ||||||
| Consumer Discretionary | 76 | 78 | — | — | — | |
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 ÷ 27.64 = 13
2 Click competitor name to see calculations.
The analysis of short-term operating activity ratios between 2018 and 2022 reveals a period of volatility in the management of accounts payable. A distinct inverse correlation exists between the payables turnover ratio and the average payables payment period, reflecting shifts in the speed at which obligations to suppliers are settled.
- Payables Turnover
- The payables turnover ratio experienced an initial increase from 39.18 in 2018 to a peak of 45.85 in 2019, suggesting an acceleration in payment frequency. This trend reversed sharply in 2020, with the ratio dropping to 26.61, its lowest point in the analyzed period. While a partial recovery occurred in 2021 with a rise to 34.10, the ratio declined again to 27.64 by the end of 2022.
- Average Payables Payment Period
- The average time taken to settle payables remained low in 2018 and 2019, at 9 and 8 days respectively. A significant extension in the payment cycle occurred in 2020, where the period reached a maximum of 14 days. This duration contracted to 11 days in 2021 before increasing slightly to 13 days in 2022.
- Operational Implications
- The fluctuations observed in 2020 and 2022 indicate periods of slower payment velocity compared to the 2018-2019 baseline. The transition from an 8-day payment cycle in 2019 to a 13-day cycle in 2022 suggests a moderate shift in working capital management, resulting in a longer retention of cash before the settlement of short-term liabilities.
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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 | 4 | 3 | 4 | 2 | 2 | |
| Average receivable collection period | 24 | 17 | 34 | 22 | 19 | |
| Average payables payment period | 13 | 11 | 14 | 8 | 9 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 15 | 9 | 24 | 16 | 12 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Chipotle Mexican Grill Inc. | -3 | -3 | — | — | — | |
| McDonald’s Corp. | 43 | 27 | — | — | — | |
| Starbucks Corp. | 24 | 19 | 25 | — | — | |
| Cash Conversion Cycle, Sector | ||||||
| Consumer Services | 9 | 6 | — | — | — | |
| Cash Conversion Cycle, Industry | ||||||
| Consumer Discretionary | -2 | -9 | — | — | — | |
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
= 4 + 24 – 13 = 15
2 Click competitor name to see calculations.
The cash conversion cycle exhibited notable volatility between 2018 and 2022, characterized by a significant peak in 2020 followed by a sharp contraction in 2021. Overall, the cycle remains relatively short, indicating efficient management of working capital despite periodic fluctuations in operational efficiency.
- Average Inventory Processing Period
- Inventory levels remained consistently low throughout the analyzed period, fluctuating minimally between 2 and 4 days. This stability suggests a business model with minimal inventory dependency or an exceptionally high turnover rate, ensuring that inventory does not act as a significant bottleneck in the cash conversion process.
- Average Receivable Collection Period
- The collection period served as the primary driver of volatility within the operating cycle. A progressive increase was observed from 19 days in 2018 to a peak of 34 days in 2020. This was followed by a substantial improvement in 2021, where the period dropped to 17 days, before moderating to 24 days in 2022. These shifts indicate fluctuations in the timing of cash inflows from customers.
- Average Payables Payment Period
- Payment durations to suppliers remained relatively stable, ranging from 8 to 14 days. A slight increase occurred in 2020, coinciding with the peak in the receivable collection period, suggesting a temporary alignment of cash outflows to offset the slowed pace of receivables collection during that period.
- Cash Conversion Cycle Analysis
- The overall cash conversion cycle closely mirrored the trajectory of receivable collections, expanding from 12 days in 2018 to 24 days in 2020. The most efficient operational result was recorded in 2021, with the cycle compressing to 9 days. By 2022, the cycle returned to 15 days, reflecting a normalization of working capital efficiency following a period of instability.
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