Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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- Statement of Comprehensive Income
- Balance Sheet: Liabilities and Stockholders’ Equity
- Common-Size Income Statement
- Enterprise Value (EV)
- Enterprise Value to EBITDA (EV/EBITDA)
- Capital Asset Pricing Model (CAPM)
- Present Value of Free Cash Flow to Equity (FCFE)
- Selected Financial Data since 2005
- Return on Equity (ROE) since 2005
- Debt to Equity since 2005
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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
The analysis of the quarterly financial ratios and periods reveals several notable trends over the examined timeframe.
- Inventory Turnover
- The inventory turnover ratio demonstrates a general decline from 43.96 in early 2017 to a low point of 9.65 in late 2021, followed by a slight recovery to 21.06 by mid-2022. This indicates that the company’s efficiency in managing and selling inventory deteriorated significantly during this period, especially around 2020 and 2021, likely reflecting operational disruptions.
- Receivables Turnover
- Receivables turnover shows considerable volatility. After fluctuating between mid-20s and mid-30s from 2017 through 2019, it spikes dramatically to 47.74 in mid-2020 before plunging sharply to near zero in late 2021 (0.27), and then partially recovering to 8.29 by mid-2022. This suggests growing challenges in collecting receivables during the pandemic period, with periods of severely impaired collections and slowdowns.
- Payables Turnover
- The payables turnover ratio declines from mid-teens levels in early data points to a low of 3.33 in mid-2021, then shows incremental improvement to 6.34 by mid-2022. The lower payables turnover indicates lengthening payment periods, implying that the company extended the time taken to pay suppliers, potentially as a liquidity management measure during stressed periods.
- Working Capital Turnover
- Information on working capital turnover is sparse, with only small values reported in late periods (0.09 in early 2021, rising to 0.28). This limited data suggests low turnover relative to working capital, possibly reflecting subdued operational activity or changes in working capital management.
- Average Inventory Processing Period
- The average inventory processing period lengthened from about 8 days in early 2017 to a peak of 38 days in late 2021, before reducing somewhat to 17 days by mid-2022. This increasing trend signals slower inventory movement and extended holding times during recent years.
- Average Receivable Collection Period
- This metric experienced a sharp and dramatic increase, moving from roughly 13-16 days early on to an unprecedented 1349 days by late 2021. Subsequently, it declines to 44 days by mid-2022. The extremely high values in 2020-2021 indicate major difficulties in receivables collection, reflecting severe operational or credit control challenges during that time.
- Operating Cycle
- The operating cycle follows a similar pattern to the receivable collection period, rising from about 21-26 days in early years to a peak of 1387 days in late 2021, then reducing to 61 days by mid-2022. This indicates overall lengthening of the time between inventory acquisition and cash collection, with the worst impact observed in the pandemic period.
- Average Payables Payment Period
- This period lengthened markedly from the range of high 20s and low 30s days before 2020, to as long as 110 days in late 2021, before shortening to 58 days by mid-2022. The delayed payments to suppliers align with the lowered payables turnover discussed earlier and suggest efforts at liquidity preservation.
- Cash Conversion Cycle
- The cash conversion cycle shows negative values through 2017 to 2019, indicating that payables are paid later than cash is received from customers and inventory is sold, which is generally favorable for cash flow. However, from 2020 onward, it fluctuates dramatically, spiking to as high as 1277 days in late 2021, reflecting significant cash flow inefficiencies. By mid-2022, it appears to normalize toward a near-zero level (3 days), showing gradual recovery.
Overall, the data portrays a company experiencing significant operational and financial stress around 2020 and 2021, likely due to external shocks impacting inventory management, receivables collection, and payment terms. This period is characterized by severely extended collection periods and delayed payments, leading to an extraordinarily prolonged cash conversion cycle. The partial recovery observed by mid-2022 suggests improvement in operational efficiency and cash flow management subsequent to the challenging period.
Turnover Ratios
Average No. Days
Inventory Turnover
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||
Cruise operating expenses | |||||||||||||||||||||||||||||
Inventories | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Inventory turnover1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Inventory turnover
= (Cruise operating expensesQ2 2022
+ Cruise operating expensesQ1 2022
+ Cruise operating expensesQ4 2021
+ Cruise operating expensesQ3 2021)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals several noteworthy trends in operating expenses, inventories, and inventory turnover over the analyzed periods.
- Cruise Operating Expenses
- Cruise operating expenses exhibit a fluctuating pattern with a general upward trend from 2017 through early 2020. Initial values in the first quarter of 2017 start at approximately 1.18 billion US dollars and gradually increase, peaking several times near or above 1.6 billion by the fourth quarter of 2019. A significant decline is observed starting in the first quarter of 2020, with expenses dropping drastically through mid and late 2020, reaching levels as low as approximately 265 million US dollars. From early 2021 onwards, there is a steady recovery, with expenses increasing quarter over quarter and reaching over 1.69 billion by mid-2022. This trend likely reflects an operational disruption during 2020, followed by a phased resumption of activities.
- Inventories
- Inventories show a steady growth trend throughout the period. Beginning around 108 million US dollars in the first quarter of 2017, the figures show gradual increases with some periods of accelerated growth, notably in 2018 and early 2019. There is a notable increase in inventories starting from early 2020, continuing to rise steadily through 2022, with inventories more than doubling from mid-2020 levels to over 229 million US dollars by mid-2022. This pattern suggests a buildup of stock, potentially in anticipation of resumed operations following the disruption observed in 2020.
- Inventory Turnover Ratio
- The inventory turnover ratio shows a declining trend over the full period, particularly after 2019. Initially, turnover ratios are relatively high, with figures consistently above 33 and even exceeding 40 in several quarters of 2017 and 2018. However, from early 2020, the ratio falls sharply, reaching a low point of around 9.65 by late 2021. A modest recovery is visible in 2022, with the ratio increasing to over 21 by mid-year. The sharp decline during 2020 and 2021 indicates reduced sales or slower movement of inventory, consistent with the downturn in operating expenses and a likely operational slowdown. The subsequent improvement suggests a return toward normalized operating conditions with better inventory management and higher activity levels.
Overall, the data illustrates a pronounced operational impact beginning in early 2020, with substantial reductions in operating expenses and declining inventory turnover, coinciding with a buildup of inventory. The trends from 2021 into 2022 indicate gradual recovery and resumption of normal business activities, supported by increases in expenses and turnover ratios alongside continued inventory growth.
Receivables Turnover
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||
Revenues | |||||||||||||||||||||||||||||
Trade and other receivables, net of allowances | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Receivables turnover1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||
Airbnb Inc. | |||||||||||||||||||||||||||||
Booking Holdings Inc. | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Receivables turnover
= (RevenuesQ2 2022
+ RevenuesQ1 2022
+ RevenuesQ4 2021
+ RevenuesQ3 2021)
÷ Trade and other receivables, net of allowances
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals several noteworthy trends over the observed periods.
- Revenues
- Revenues exhibit a generally upward trajectory from March 2017 through December 2019, increasing from approximately $2.01 billion to $2.52 billion. This growth, however, is punctuated by seasonal fluctuations typical of the cruise industry. Beginning in the first quarter of 2020, revenues experience a dramatic decline, turning negative in the third quarter of 2020 (September) with a value of -$33.7 million, indicating extreme disruption likely linked to external factors such as industry-wide shutdowns. Subsequently, revenue remains suppressed throughout 2020 but starts to recover in 2021 and early 2022, reaching over $2.18 billion by June 2022, signaling a strong rebound although not yet consistently at pre-2020 levels.
- Trade and Other Receivables (Net of Allowances)
- Receivables show some variability but tend to increase over the entire period. Starting at approximately $293 million in March 2017, the figure climbs to nearly $324 million by December 2017, followed by fluctuations around $340 million to $385 million during 2018 and 2019. The year 2020 witnessed a decline in receivables to about $165 million in September, potentially reflecting diminished sales or more conservative credit policies amid the crisis. From late 2020 onward, trade receivables trend upward significantly, peaking at approximately $565 million by June 2022, which may reflect recovering sales levels or changes in credit terms.
- Receivables Turnover Ratio
- The receivables turnover ratio remains relatively high and stable before 2020, ranging mostly between 22 and 36 times, with occasional peaks surpassing 30 times in 2019. Starting in 2020, the ratio sharply decreases, dropping to 7.77 in March 2021 and further plummeting to extremely low levels of 0.27 in September 2021, indicating slower collection cycles and potential issues with credit or customer payments during the height of operational disruptions. Improvement is observed by mid-2022, with the ratio recovering to 8.29, though still below pre-2020 values, suggesting that while collections have improved, they have not yet returned to historical efficiency.
Overall, the data reflects a period of strong growth and operational stability prior to 2020, followed by severe revenue and operational disruptions consistent with an industry crisis. Recovery signs appear from early 2021 onwards, with improving but still inconsistent financial performance indicators by mid-2022. The increase in receivables alongside a declining turnover ratio during the crisis period suggests slower cash collection, which may impact liquidity and working capital management. The subsequent partial recovery in these metrics indicates a gradual return towards normalized operations.
Payables Turnover
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||
Cruise operating expenses | |||||||||||||||||||||||||||||
Accounts payable | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Payables turnover1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Payables Turnover, Competitors2 | |||||||||||||||||||||||||||||
Booking Holdings Inc. | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Payables turnover
= (Cruise operating expensesQ2 2022
+ Cruise operating expensesQ1 2022
+ Cruise operating expensesQ4 2021
+ Cruise operating expensesQ3 2021)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of the financial data reveals several notable trends over the observed periods. Cruise operating expenses initially demonstrate a general upward trajectory from early 2017 through the end of 2019, increasing from approximately $1.18 billion to over $1.48 billion. This growth suggests expanding operational activities or increased costs during this period. However, beginning in the first quarter of 2020, there is a significant decline in these expenses, dropping sharply to $1.51 billion in March 2020 and reaching a low of around $265 million by the third quarter of 2020. This decline correlates with a broader disruption, likely attributable to extraordinary external factors impacting operations. By mid-2021, the expenses begin to rise again, progressively increasing to $1.69 billion by June 2022, indicating a recovery or resumption of higher operational activity.
Accounts payable exhibit somewhat parallel dynamics, with balances rising steadily from $363 million in March 2017 to nearly $564 million at the end of 2019. A dramatic surge occurs in March 2020, where accounts payable increase to approximately $1.41 billion, doubling the previous levels. This spike signifies a considerable build-up of obligations, potentially linked to the abrupt operational challenges experienced at that time. Subsequent quarters show a decrease in payables, stabilizing between $340 million and $460 million throughout 2021. In 2022, a resurgence in payables is evident, climbing once more to $761 million by June, possibly reflecting renewed operational expenditures or credit arrangements consistent with business recovery.
The payables turnover ratio, which measures the efficiency in settling accounts payable, shows fluctuations corresponding to the other variables. Prior to 2020, turnover ratios remain relatively stable, averaging around 10.7 to 13.6, indicative of a consistent payment cycle. The onset of 2020 sees a drastic fall in the turnover ratio to 4.36 and further down to as low as 3.33 in mid-2021. These lower turnover values suggest delayed payments or a lengthened payables cycle during the challenging periods. Towards the end of the observed period, the ratio improves gradually, recovering to 6.34 in June 2022 but still below the pre-2020 levels, which may indicate cautious management of liabilities as operations ramp up.
Overall, the financial metrics display a significant disruption beginning in early 2020, with marked declines in operating expenses and abrupt increases in accounts payable. This is accompanied by reduced payables turnover performance, indicating changes in operational and financial management. Recovery signals are present starting in late 2020 and continuing into 2022, with increasing operating expenses and accounts payable alongside improving turnover ratios, reflecting an ongoing adjustment phase back toward normal business functioning.
- Cruise Operating Expenses
- Steady increase from 2017 through 2019, sharp decline in 2020, gradual recovery through 2022.
- Accounts Payable
- Gradual rise until end of 2019, spike in early 2020, followed by decrease and stabilization, then renewed increase in 2022.
- Payables Turnover Ratio
- Stable and high pre-2020, significant drop during 2020-2021, partial recovery by mid-2022.
Working Capital Turnover
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||
Current assets | |||||||||||||||||||||||||||||
Less: Current liabilities | |||||||||||||||||||||||||||||
Working capital | |||||||||||||||||||||||||||||
Revenues | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Working capital turnover1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||
Airbnb Inc. | |||||||||||||||||||||||||||||
Booking Holdings Inc. | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Working capital turnover
= (RevenuesQ2 2022
+ RevenuesQ1 2022
+ RevenuesQ4 2021
+ RevenuesQ3 2021)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Working Capital
-
The working capital showed a consistent negative position throughout the periods under review, indicating that current liabilities exceeded current assets for this company.
Beginning in March 2017, working capital started at approximately -4,515 million US dollars and generally worsened over the next two years, reaching a low of about -6,790 million US dollars by December 2019. This trend signifies increasing current liabilities or decreasing current assets relative to liabilities.
In early 2020, there was a marked improvement, with the figure rising sharply toward a less negative balance, nearing breakeven by June 2020 (-52 thousand US dollars). However, this recovery was short-lived, and working capital again declined, reaching approximately -2,253 million US dollars by December 2020.
From March 2021 onward, working capital exhibited volatility with a brief positive movement in March 2021 (about +2,335 million US dollars) but fell back into negative territory in subsequent quarters, falling to approximately -8,158 million US dollars by June 2022. This indicates ongoing liquidity challenges.
- Revenues
-
Revenues demonstrated an overall increasing trend from March 2017 through September 2019, rising from roughly 2,009 million to a peak of about 3,187 million US dollars, reflecting solid top-line growth during this pre-pandemic period.
Starting December 2019, revenues began to decline sharply. By June 2020, revenue plummeted to around 176 thousand US dollars, and even became negative in September 2020 (-34 thousand), indicating possible significant refunds, cancellations, or accounting adjustments related to this period.
From December 2020 onwards, revenues recovered gradually but remained below pre-2020 levels. By June 2022, revenues reached approximately 2,184 million US dollars, showing partial but incomplete recovery relative to pre-pandemic highs.
- Working Capital Turnover
-
Working capital turnover ratios were not available for most periods, except for isolated data points in March 2021 (0.09) and June 2021 (0.28). These values, while low, suggest some return relative to working capital during these quarters, but the scarcity of data precludes comprehensive trend analysis.
Average Inventory Processing Period
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||
Inventory turnover | |||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
Average inventory processing period1 | |||||||||||||||||||||||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||
Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Inventory Turnover Trend
- Inventory turnover ratios were first recorded from March 31, 2017 onwards. The ratio displayed a generally declining trend from a high of approximately 44 in the 2017 and early 2018 periods, signaling efficient inventory usage during those times. From late 2018 onward, the turnover ratio decreased steadily, reaching a notably low point around March to September 2021, with values in the range of 9.65 to 12.88. This indicates a significant slowdown in how quickly inventory was sold or used during this interval. In the most recent quarters ending June 30, 2022, the turnover ratio demonstrated signs of recovery, improving to about 21.
- Average Inventory Processing Period
- The average inventory processing period, measured in days, exhibited an inverse pattern relative to inventory turnover. Early data starting from March 31, 2017 showed processing periods as low as 8 to 11 days, indicating rapid inventory movement. Over time, this period lengthened substantially, peaking during mid-2021 at approximately 38 days, consistent with the period of decreased inventory turnover. Recently, the processing period has begun to shorten again, dropping to 18 and 17 days as of the second quarter of 2022, suggesting improvements in inventory management and sales velocity.
- Overall Insights
- The data reveals a clear inverse relationship between inventory turnover and average inventory processing period, as expected. The prolonged processing period and reduced turnover during 2020 and 2021 likely reflect operational disruptions and demand fluctuations, possibly linked to external events impacting the business environment. The subsequent partial recovery seen in 2022 suggests improving operational efficiency and possibly strengthening market conditions.
Average Receivable Collection Period
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||
Receivables turnover | |||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
Average receivable collection period1 | |||||||||||||||||||||||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||
Airbnb Inc. | |||||||||||||||||||||||||||||
Booking Holdings Inc. | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Receivables Turnover
- The receivables turnover ratio demonstrates variability across the periods analyzed. Starting from a range in the mid to high twenties during 2017 and 2018, the ratio increased gradually, peaking at 47.74 in the first half of 2020. This trend illustrates an initial improvement in efficiency regarding collections. However, there is a pronounced decline beginning in late 2020, with a steep drop to 7.77 by March 2021 and further decreases to as low as 0.27 in September 2021. Following this period, a mild recovery is observed, with the ratio climbing back to 8.29 by June 2022. The fluctuation suggests significant disturbances in the company's receivables management or collection processes during the pandemic period, followed by some restoration of normalcy.
- Average Receivable Collection Period
- The average receivable collection period inversely mirrors the trends noted in receivables turnover. From relatively stable collection times ranging between 10 and 16 days during 2017 through early 2020, there is a marked extension starting in 2020, corresponding with the decrease in turnover ratio. Notably, the collection period increases sharply to 47 days by March 2021 and escalates dramatically up to 1,349 days in September 2021. Subsequently, this period shortens, yet remains elevated at 97 days in March 2022 and 44 days by June 2022, compared to pre-pandemic levels. This escalation indicates delays or difficulty in collecting receivables during the pandemic period, with a partial return towards previous collection efficiency thereafter.
- Overall Insights
- The data suggests that the company experienced operational challenges with receivables management beginning in early 2020, corresponding with the onset of the COVID-19 pandemic. The extreme values observed in 2021 indicate temporary but significant disruptions, potentially caused by decreased customer payments or altered credit terms. While some recovery is evident in mid-2022, receivables management had not fully returned to previously efficient levels as of the latest data point. This pattern highlights the impact of external economic shock on the company's liquidity and credit control effectiveness.
Operating Cycle
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
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Selected Financial Data | |||||||||||||||||||||||||||||
Average inventory processing period | |||||||||||||||||||||||||||||
Average receivable collection period | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Operating cycle1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The data reveals several notable trends in the company's inventory processing period, receivable collection period, and overall operating cycle over the observed quarters.
- Average Inventory Processing Period
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The average inventory processing period demonstrates a relatively stable level from March 2018 through December 2019, fluctuating between 8 and 11 days. Starting from March 2020, there is a discernible upward trend, reaching a peak of 38 days in September 2021. Following this peak, a gradual decline occurs, with the period reducing to 17 days by June 2022. This suggests a period of operational challenges or slower inventory turnover during the pandemic, followed by gradual improvement.
- Average Receivable Collection Period
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The receivable collection period remains fairly consistent and relatively low from March 2018 through December 2019, with values predominantly ranging from 8 to 16 days. Beginning in March 2020, there is a significant and unprecedented spike, peaking dramatically at 1,349 days in September 2021. Post this peak, the receivable collection period shows a sharp reduction, falling to 44 days by June 2022, though still elevated compared to pre-2020 values. This volatility may indicate substantial difficulties in collecting receivables during the COVID-19 pandemic, with a recovery phase underway but not yet reaching prior efficiency.
- Operating Cycle
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The operating cycle, which combines inventory processing and receivable collection periods, follows a similar trajectory to the receivable collection period. It remains relatively stable between 20 and 26 days until December 2019. A marked increase begins in March 2020, reaching an extraordinary high of 1,387 days in September 2021. Subsequently, the operating cycle considerably improves, decreasing to 61 days by June 2022, though still considerably longer than earlier periods. This pattern underscores operational and financial disruptions during the pandemic, affecting both inventory and receivables, with gradual normalization evident in 2022.
Average Payables Payment Period
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
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Selected Financial Data | |||||||||||||||||||||||||||||
Payables turnover | |||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
Average payables payment period1 | |||||||||||||||||||||||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||
Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||||||
Booking Holdings Inc. | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The payables turnover ratio demonstrates variability over the periods analyzed, with a noticeable decline occurring in the 2020 fiscal year. Specifically, this ratio, which ranged between approximately 10.7 and 13.6 in the years prior to 2020, dropped significantly to as low as 4.36 in the first quarter of 2020. Subsequently, it showed a gradual recovery trend, rising to around 6.34 by the middle of 2022. This reduction and partial recovery suggest changes in the company's efficiency in managing payables during and post the early 2020 period.
Correspondingly, the average payables payment period exhibits an inverse trend to the payables turnover ratio, as expected. Initially stable within the 27 to 34 days range from 2017 through 2019, this period increased sharply in 2020 to a peak of 84 days in the first quarter. Thereafter, the payment period fluctuated but generally remained elevated compared to pre-2020 values, reaching a high of 110 days in the second quarter of 2021 before gradually decreasing to 58 days by mid-2022.
- Trends in Payables Turnover
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The data indicates a significant disruption in payables turnover beginning early 2020, likely reflecting operational challenges or altered credit terms. Prior to 2020, turnover consistently remained above 10, indicating faster payment cycles. The decline to below 5 highlights slower payment processes or extended credit usage during this period, partially normalizing thereafter.
- Trends in Average Payables Payment Period
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The payment period metric supports the turnover observations, showing a pronounced increase starting in early 2020, implying that the company took longer to settle payables during this period. The highest recorded averaged 110 days, more than triple earlier periods, suggesting temporary changes in payment policy or liquidity constraints. This extended payment period gradually diminished but stayed above historical averages through mid-2022.
- Implications
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The inverse relationship between payables turnover and payment period reflects the company's adaptive financial management amidst the challenges encountered around 2020. The extended payment periods may have been a strategic response to maintain liquidity or manage cash flows during uncertain times. The gradual normalization toward mid-2022 indicates an ongoing recovery in operational efficiency and creditor relationships.
Cash Conversion Cycle
Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | ||||||||
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Selected Financial Data | |||||||||||||||||||||||||||||
Average inventory processing period | |||||||||||||||||||||||||||||
Average receivable collection period | |||||||||||||||||||||||||||||
Average payables payment period | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Cash conversion cycle1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Cash Conversion Cycle, Competitors2 | |||||||||||||||||||||||||||||
Chipotle Mexican Grill Inc. | |||||||||||||||||||||||||||||
McDonald’s Corp. | |||||||||||||||||||||||||||||
Starbucks Corp. |
Based on: 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31).
1 Q2 2022 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + – =
2 Click competitor name to see calculations.
- Inventory Processing Period
- The average inventory processing period exhibits an increasing trend over the analyzed timeframe. Starting from 8 days in the early periods of 2018, it gradually rises to a peak of 38 days by September 2021. Subsequent data indicates a decline to 17 days by June 2022. This pattern suggests increasing challenges or slower inventory turnover peaking around 2021, followed by some improvement in efficiency thereafter.
- Receivable Collection Period
- The average receivable collection period remains relatively stable between 8 and 16 days from March 2018 to December 2020. A significant and abrupt increase occurs beginning in March 2021, reaching an extraordinary high of 1,349 days in September 2021, indicative of severe collection difficulties or notable accounting adjustments during that period. This extreme outlier declines sharply to 44 days by June 2022, reflecting a return towards more normal collection cycles.
- Payables Payment Period
- The payables payment period shows some volatility but generally fluctuates between 27 and 34 days up to December 2019. From March 2020 onwards, there is a marked increase, hitting an unusually high 110 days in September 2021, before gradually decreasing to 58 days by mid-2022. This trend suggests the company extended its payment terms or delayed payments substantially during the period of operational disruption, then progressively normalized its payment schedule.
- Cash Conversion Cycle
- The cash conversion cycle is negative in the early periods through to December 2020, indicating efficient working capital management with payables payments exceeding the sum of inventory processing and receivables collection. However, a drastic shift occurs in 2021 with the cycle increasing exponentially to an abnormal value of 1,277 days by September 2021, corresponding with the sharp spikes observed in receivables and payables. This period reflects significant stress or anomalies in working capital. By June 2022, the cycle is markedly reduced to 3 days, signaling a strong recovery and restoration of working capital efficiency.