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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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
The analysis of the quarterly financial ratios over the reported periods reveals several notable trends and fluctuations relevant to operational efficiency and working capital management.
- Inventory Turnover
- The inventory turnover ratio shows a declining trend from early 2019, starting at 51.4 and generally decreasing to a low around 35.04 by the end of 2020. However, thereafter, there is some recovery with fluctuations, reaching 38.44 most recently. This suggests an overall reduction in the speed at which inventory is sold and replaced during the period, potentially indicating changes in inventory management or sales demand.
- Receivables Turnover
- Receivables turnover remains relatively stable with minor fluctuations, mostly ranging between 9 and 12, peaking in mid-2020 at 12.76 and dropping as low as 8.99 in late 2021. This pattern indicates some variability in how efficiently the company collects its receivables but no extreme deviations suggesting systemic collection issues.
- Payables Turnover
- The payables turnover ratio fluctuates mildly between approximately 10.21 and 13.22, with a noticeable peak in mid to late 2022. The relatively stable range implies consistent payment practices toward suppliers, with slight variation possibly due to seasonal or operational factors.
- Working Capital Turnover
- Working capital turnover displays significant variability. After an initial peak of 10.9 in mid-2019, it declined steadily to a low of 4.21 in early 2021, before surging dramatically to 35.67 in mid-2022. Despite this spike, it fell again but remained elevated relative to earlier periods. This volatility suggests significant shifts in the efficiency of using working capital to generate sales, possibly influenced by changes in current assets or liabilities management.
- Average Inventory Processing Period
- The average inventory processing period shows a slight increase from 7 to about 10 days between 2019 and 2022, before trending back towards 8-9 days in 2023. This indicates a marginal lengthening of the time inventory is held before sale, which aligns with the decrease in inventory turnover ratios.
- Average Receivable Collection Period
- The receivable collection period remains generally stable around 30-33 days, with noticeable spikes reaching over 39 and 41 days in certain quarters of 2021 and 2022. This indicates periodic delays in customer payments, which could impact cash flow.
- Operating Cycle
- The operating cycle varies from 37 to 50 days, with an upward trend peaking in late 2021 followed by a slight decline thereafter. This pattern reflects the combined effects of inventory holding and receivables collection periods, pointing to moderate changes in overall operational efficiency.
- Average Payables Payment Period
- The payables payment period remains relatively consistent between 28 and 36 days, with a tendency toward the lower end in more recent periods. This stability indicates predictable payment terms with suppliers and a steady approach to managing payables.
- Cash Conversion Cycle
- The cash conversion cycle fluctuates between 5 and 21 days across the observed periods. Notably, it increases from around 6 days in 2019-2020 to peaks of 20 and 21 days in 2021 and 2022, before reducing slightly in 2023. This increase suggests a longer time to convert investments in inventory and receivables into cash, which can signal tighter cash flow management challenges during these times.
In summary, the data reveals cyclical challenges and improvements in managing inventory, receivables, and overall working capital. While inventory turnover and processing periods indicate slower movement of inventory at times, receivables and payables are managed with moderate consistency. The volatility in working capital turnover and cash conversion cycle suggest periods of operational adjustments, likely in response to external or internal economic factors. Continued focus on optimizing these metrics will be important for maintaining liquidity and operational efficiency.
Turnover Ratios
Average No. Days
Inventory Turnover
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Revenue | |||||||||||||||||||||||
| Materials and supplies | |||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Inventory turnover1 | |||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Union Pacific Corp. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Inventory turnover
= (RevenueQ1 2023
+ RevenueQ4 2022
+ RevenueQ3 2022
+ RevenueQ2 2022)
÷ Materials and supplies
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Revenue Trends
- Revenue exhibited some volatility between 2019 and 2023, with an initial slight decline from 3,013 million USD to 2,885 million USD by the end of 2019. A notable drop occurred in the first half of 2020, reaching a low of 2,255 million USD in June 2020, likely reflecting external challenges during that period. Subsequently, revenue rebounded steadily through 2021 and 2022, peaking at 3,895 million USD in September 2022. This peak was followed by a slight decrease in later quarters, with revenue settling around 3,706 million USD by March 2023, indicating some stabilization below the recent high.
- Materials and Supplies Expense
- The cost of materials and supplies generally followed an upward trajectory over the analyzed periods. Initial values ranged around the low 200s million USD in 2019 but experienced gradual increases year-over-year. From 339 million USD in December 2021, the expense grew to 394 million USD by March 2023. This increase suggests rising input costs or higher consumption associated with increased production or sales. The upward trend aligns with revenue growth in the latter periods but the acceleration in materials costs appears somewhat sharper.
- Inventory Turnover Ratio
- The inventory turnover ratio declined significantly from 51.4 in March 2019 to a low of 35.04 by December 2020, indicating slower movement of inventory during this interval. This decrease coincides with the period when revenue dipped, potentially reflecting reduced sales velocity or supply chain disruptions. Following this trough, the ratio showed modest recovery and fluctuations, rising to 43.56 by December 2022 but retreating again to 38.44 by March 2023. Overall, the trend suggests challenges in inventory management during the mid-term, with partial improvement but no sustained return to earlier high turnover rates.
- Comprehensive Insights
- The analyzed period reflects an initial period of revenue stability followed by a pronounced slump, likely associated with macroeconomic or industry-specific disruptions, then a recovery phase bringing revenue to a new peak in late 2022. Material and supply costs have steadily increased over time, potentially exerting margin pressures despite rising sales. Inventory turnover trends suggest temperamental inventory management effectiveness, reflecting slower stock movement during downturn phases and partial, yet inconsistent, recovery thereafter. This combination of rising costs and fluctuating inventory efficiency amidst revenue volatility may warrant further strategic focus on cost control and inventory optimization.
Receivables Turnover
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Revenue | |||||||||||||||||||||||
| Accounts receivable, net | |||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Receivables turnover1 | |||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Uber Technologies Inc. | |||||||||||||||||||||||
| Union Pacific Corp. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
| United Parcel Service Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Receivables turnover
= (RevenueQ1 2023
+ RevenueQ4 2022
+ RevenueQ3 2022
+ RevenueQ2 2022)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The quarterly financial data reflects several notable trends and patterns in revenue, accounts receivable, and receivables turnover ratios over the analyzed periods.
- Revenue
- Revenue demonstrates a fluctuating trend with periods of decline and growth. Starting in early 2019, revenue exhibited moderate stability around the 2900-3100 million USD range. It then experienced a decline through the first half of 2020, coinciding likely with external economic challenges, reaching a low of 2255 million USD in June 2020. Following this, revenue recovered steadily throughout late 2020 and most of 2021, peaking near 3427 million USD by the end of 2021. Through 2022 and into early 2023, revenue continued to rise reaching a peak of 3895 million USD in Q3 2022, before experiencing a slight decline in the final quarter observed. Overall, revenue growth is apparent from mid-2020 onward, recovering well beyond pre-2020 levels.
- Accounts Receivable, Net
- The net accounts receivable exhibit an increasing trend over the entire period. From approximately 1100 million USD at the beginning of 2019, accounts receivable decreased somewhat during the first half of 2020, aligning with the revenue dip, before resuming an upward trajectory. This upward trend continued through 2021 and 2022, with significant increases especially from early 2022 onwards where values rose from 1277 million USD to a high of 1489 million USD in mid-2022. The figures then slightly declined toward early 2023 but remain substantially higher than the earlier periods. This consistent increase in receivables suggests a growth in credit sales or longer payment cycles over time.
- Receivables Turnover Ratio
- The receivables turnover ratio displays variable movement throughout the periods, indicative of changing effectiveness in collecting receivables. The ratio started strong around 11-12 in early 2019 with a slight peak of 12.76 in mid-2020, likely reflecting improved collections efficiency amidst lower revenue. Post mid-2020, the ratio declined significantly through 2021, reaching a low near 8.99 in Q3 2021, suggesting slower collections or increasing credit terms during the revenue recovery phase. Subsequently, turnover improved again after Q4 2021, recovering to above 11 in the most recent quarters, signaling a return toward more efficient receivables management.
In summary, the financial data shows that after an initial dip linked to broader market challenges, revenue has rebounded strongly with growth surpassing pre-downturn levels. Accounts receivable have generally increased, indicating either expanding credit sales or extensions in payment terms, which is corroborated by the fluctuations in the receivables turnover ratio that imply periods of both reduced and improved collection efficiency. Recent quarters suggest a focus on improving collection practices as turnover ratios trend upward alongside steadily growing revenue figures.
Payables Turnover
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Revenue | |||||||||||||||||||||||
| Accounts payable | |||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Payables turnover1 | |||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Uber Technologies Inc. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
| United Parcel Service Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Payables turnover
= (RevenueQ1 2023
+ RevenueQ4 2022
+ RevenueQ3 2022
+ RevenueQ2 2022)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data exhibits several notable trends across the analyzed periods. Revenue displays fluctuations with an overall recovery and growth pattern after a mid-term decline. Accounts payable amounts show a general upward trajectory, indicating increasing obligations or supplier credit use. The payables turnover ratio fluctuates moderately but maintains a relatively stable range, reflecting consistency in payment efficiency relative to purchase volumes.
- Revenue Trends
- Revenue starts at 3,013 million USD in the first quarter of 2019 and experiences slight variations throughout 2019, reaching a low point around the end of that year. A significant decline occurs by mid-2020, falling to 2,255 million USD in June 2020, reflecting possible external disruptions impacting sales or operations. Following this trough, revenue shows a recovery trend, steadily rising across the subsequent quarters and peaking at 3,895 million USD in the third quarter of 2022 before a slight contraction in early 2023 to 3,706 million USD.
- Accounts Payable Behavior
- The accounts payable figures fluctuate but display a general increase over the period. Initial values oscillate around the 1,000 million USD mark through 2019 and early 2020, then drop notably in December 2020 to 809 million USD. After this decline, accounts payable trend upward consistently, reaching 1,203 million USD by March 2023. This suggests a growing reliance on supplier credit or increased procurement activity in the later periods.
- Payables Turnover Ratio Analysis
- The payables turnover ratio ranges between approximately 10.2 and 13.2, illustrating relative stability in how efficiently the company converts payables into payments. The ratio dips to its lower boundary during the third quarter of 2020, aligning with the lowest revenue figures, then generally trends higher towards late 2022 and early 2023. This indicates that despite increased accounts payable, the company maintains or improves the pace of paying its obligations relative to purchase volumes.
Working Capital Turnover
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Current assets | |||||||||||||||||||||||
| Less: Current liabilities | |||||||||||||||||||||||
| Working capital | |||||||||||||||||||||||
| Revenue | |||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Working capital turnover1 | |||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Uber Technologies Inc. | |||||||||||||||||||||||
| Union Pacific Corp. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
| United Parcel Service Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Working capital turnover
= (RevenueQ1 2023
+ RevenueQ4 2022
+ RevenueQ3 2022
+ RevenueQ2 2022)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Working Capital
- The working capital exhibits a fluctuating trend over the analyzed periods. Early 2019 showed relatively stable working capital around 1100 to 1550 million USD. In 2020, working capital increased significantly peaking near 2400 million USD at the end of the year, reflecting potential liquidity improvements or inventory buildup during that period. However, from 2021 onwards, working capital experienced volatility with values dropping sharply mid-2022 to as low as 391 million USD, before partially recovering towards early 2023 but remaining below earlier peaks. This pattern suggests periods of aggressive asset or liability management and possible responses to external operational or market conditions.
- Revenue
- Revenue remained relatively stable around 3000 million USD from early 2019 to early 2020, followed by a noticeable dip in mid-2020, likely due to disruptions during that time. Post mid-2020, revenue demonstrated a consistent recovery and growth trend, reaching a peak above 3800 million USD in late 2022, before slightly declining but holding above 3700 million USD in early 2023. This indicates a resilient business performance with effective demand recovery and potential market expansion in the latter periods.
- Working Capital Turnover
- The working capital turnover ratio displayed considerable variability. In 2019, it ranged between approximately 8 to 11, reflecting efficient utilization of working capital relative to revenue. During 2020, the ratio sharply declined to as low as 4.37, corresponding to the substantial increase in working capital and the revenue dip, suggesting less efficient use of current assets. In 2021, the ratio recovered somewhat but remained volatile. A pronounced spike occurred mid-2022 with the ratio reaching 35.67, indicating extraordinarily high efficiency or a significant reduction in working capital relative to revenue at that time. The ratio stabilized somewhat afterward but stayed at elevated levels compared to earlier years, implying heightened operational leverage or changes in working capital management strategies.
- Overall Insights
- The data reveals dynamic shifts in working capital and its management relative to revenue generation. The company appears to have adjusted its liquidity and asset management strategies in response to varying market conditions, especially during and after 2020. Revenue trends suggest resilience and recovery following a dip, while the working capital turnover fluctuations point to periods of differing operational efficiency and possibly changing business cycles or cash flow management priorities. Sharp movements in working capital and turnover ratios warrant attention to cash flow stability and operational efficiency going forward.
Average Inventory Processing Period
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Inventory turnover | |||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||
| Average inventory processing period1 | |||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Union Pacific Corp. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Inventory Turnover
- The inventory turnover ratio displays a general downward trend from early 2019 through the end of 2020, declining from 51.4 to a low of 35.04. This decline suggests a slower rate of inventory turnover during this period, indicating that inventory was held longer before being sold. From 2021 onward, the ratio shows some fluctuations but remains relatively lower than the 2019 levels, with values mostly ranging between 35 and 44. The ratio peaked at 43.56 in December 2022 but then dropped to 38.44 by March 2023, signifying variability but no full recovery to earlier high turnover rates.
- Average Inventory Processing Period
- The average inventory processing period closely mirrors the inventory turnover trend but in inverse terms. It increased from 7 days in early 2019 to a peak of 10 days by the end of 2020, indicating that inventory processing became slower during that timeframe. After 2020, this metric stabilized around 9 to 10 days, reflecting a consistent duration for inventory processing. A slight reduction to 8 days occurred in December 2022, followed by a mild increase to 9 days by March 2023, showing minor variability but overall maintaining a longer processing period compared to the pre-2020 timeframe.
- Overall Observations
- Between 2019 and 2020, there was a clear shift towards slower inventory turnover and longer processing times, signaling possible operational challenges or changes in inventory management strategy. Post-2020, both metrics stabilized, with slight fluctuations suggesting ongoing adjustments. However, none of the quarters since 2020 reached the higher efficiency levels observed in early 2019, indicating a sustained change in the company's inventory handling efficiency over the reported period.
Average Receivable Collection Period
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Receivables turnover | |||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||
| Average receivable collection period1 | |||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Uber Technologies Inc. | |||||||||||||||||||||||
| Union Pacific Corp. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
| United Parcel Service Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Receivables Turnover Ratio
- The receivables turnover ratio exhibited fluctuations over the analyzed periods. Initially, the ratio remained relatively stable around 11 to 12 times per year, indicating consistent efficiency in collecting receivables. This ratio peaked slightly at 12.76 in June 2020 but declined notably thereafter, reaching a low of 8.99 in September 2021. Following this trough, the ratio rebounded to 11 by March 2023. Overall, the turnover ratio suggests some variability in collection efficiency, with a notable dip during late 2020 and 2021, and a recovery trend in 2022 and early 2023.
- Average Receivable Collection Period
- The average collection period inversely mirrored the receivables turnover ratio, remaining fairly steady at about 30 to 33 days during 2019 and early 2020. A decline in collection efficiency is visible in the subsequent periods, as the days outstanding increased to a peak of 41 days in September 2021. This indicates a slower conversion of receivables into cash during this time. However, the collection period improved in the following quarters, decreasing to 33 days by March 2023, suggesting that the company managed to restore a quicker collection cycle after the disruption experienced around 2021.
- Key Insights
- The data reveals a period of reduced receivables turnover efficiency starting mid-2020 through late 2021, coinciding with a buildup in the average collection period. This may reflect challenges in receivables management or external economic conditions affecting customer payment behavior during this timeframe. The recovery seen from late 2021 to early 2023 demonstrates a return to more typical collection patterns and improved management of accounts receivable. The consistent oscillations in both ratios suggest ongoing attention to receivables management is necessary to maintain optimal cash flow.
Operating Cycle
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Average inventory processing period | |||||||||||||||||||||||
| Average receivable collection period | |||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Operating cycle1 | |||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Union Pacific Corp. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The data reveals notable fluctuations in the company's inventory management, receivables collection, and overall operating cycle over the course of the examined periods.
- Average Inventory Processing Period
- Across the periods, this metric initially remained stable at 7 days through the early 2019 quarters, then experienced a gradual increase that peaked at 10 days during late 2020 and early 2022. Toward the most recent quarters, it demonstrated a slight decline, settling around 8 to 9 days by early 2023. This indicates a moderate lengthening of the inventory turnover period at the midpoint of the timeline, followed by some improvement in more recent quarters.
- Average Receivable Collection Period
- Receivables collection period displayed considerable variability. It began near 33 days, then showed some decrease to as low as 29 days by mid-2020. Subsequently, it rose notably, reaching peaks above 39 to 41 days through late 2021 and mid-2022. The later data points suggest a reduction back towards the lower 30-day range by early 2023. Overall, the period demonstrates episodes of delayed customer payments, with intermittent recoveries to shorter collection times.
- Operating Cycle
- The operating cycle, reflecting the total duration from inventory acquisition to cash receipt, moved in tandem with the two aforementioned periods. Starting near 40 days, it decreased marginally around mid-2019 to 37 days, then climbed significantly to levels near 50 days toward the end of 2021. A notable contraction occurred afterward, bringing the cycle down to approximately 40 to 42 days by early 2023. This pattern highlights a temporary extension in operating efficiency challenges that have since seen partial remediation.
In summary, the company experienced an extended operating cycle primarily driven by longer inventory processing and receivable collection times during the 2020-2022 timeframe, likely reflective of market or operational pressures. Recent quarters indicate improvements in these areas, suggesting strides toward enhanced working capital management and operational efficiency.
Average Payables Payment Period
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
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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 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| Uber Technologies Inc. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
| United Parcel Service Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of the financial data over the examined periods reveals several consistent patterns related to payables management.
- Payables Turnover Ratio
- The payables turnover ratio exhibits moderate fluctuations across the periods. Starting from a level of approximately 12.16 in early 2019, it shows a slight decline towards the third quarter of 2020, reaching a low near 10.21. Subsequently, the ratio increases and stabilizes between roughly 12.27 and 13.22 in the years 2021 and 2022, before slightly moderating back to around 12.59 by the first quarter of 2023. This indicates a variable but generally stable rate at which payables are settled, with occasional improvements in turnover efficiency, especially notable after mid-2020.
- Average Payables Payment Period
- Inversely correlated to the payables turnover, the average payment period in days starts at 30 days in early 2019, increasing to a peak of 36 days by the third quarter of 2020. Following that peak, the payment period consistently declines, stabilizing around 28 to 30 days throughout 2021, 2022, and into early 2023. This pattern suggests that the company initially extended payment terms or delayed payments in mid-2020 but later resumed a more expedited payment schedule, aligning with industry norms or internal policy adjustments.
- Overall Insights
- The fluctuations observed in payables turnover and the corresponding payment period suggest adaptive management in response to external or internal factors, potentially including liquidity management considerations during mid-2020. The return to a shorter payment period and higher turnover ratio from late 2020 onward could reflect improvements in cash flow management or strategic decisions to optimize supplier relations.
Cash Conversion Cycle
| Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | 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 | |||||||
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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 | |||||||||||||||||||||||
| FedEx Corp. | |||||||||||||||||||||||
| United Airlines Holdings Inc. | |||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 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).
1 Q1 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + – =
2 Click competitor name to see calculations.
The analysis of the financial time periods reveals notable variations and trends related to the company's operational efficiency over the observed quarters.
- Average Inventory Processing Period
- This period remains relatively stable initially, fluctuating around 7 to 8 days from early 2019 through mid-2020. There is a gradual increase beginning in the latter half of 2020, peaking at 10 days during multiple quarters up to early 2022. Subsequently, the period slightly declines towards 8 to 9 days by the first quarter of 2023. This suggests a moderate increase in the time inventory remains before processing, followed by a modest improvement.
- Average Receivable Collection Period
- The collection period consistently averages around 30 to 34 days during 2019 and early 2020, indicating steady receivables management. From late 2020 through 2021, there is an uptick with values peaking at 41 days, reflecting slower collection. A gradual decrease is observed in 2022 and early 2023, settling again near the low 30s, which signals a partial recovery in collection efficiency.
- Average Payables Payment Period
- This period generally oscillates between 28 and 33 days without a clear upward or downward trend. Minor quarter-to-quarter variations exist, but overall, the company's payment practices maintain consistency over the analyzed timeframe.
- Cash Conversion Cycle
- The cash conversion cycle exhibits varied fluctuations, beginning near 10 days in early 2019, dipping to a low of 5 days in mid-2020, which indicates faster cash conversion during that period. However, from late 2020 onwards, the cycle rises significantly to reach peaks around 20 to 21 days during 2021 and 2022, suggesting a lengthening of the time between cash outflows and inflows. This extended cycle could point to potential inefficiencies or changes in working capital management during those years. A partial improvement is evident by the first quarter of 2023, with the cycle reducing closer to 12 to 13 days.