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: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
The analysis of operating activity ratios reveals a corporate financial strategy characterized by a consistently negative cash conversion cycle, indicating that the company effectively utilizes supplier credit to finance its operations.
- Inventory and Receivables Management
- Inventory turnover exhibited volatility, peaking at 5.18 in 2016 before declining to a period low of 2.87 in 2018 and recovering slightly to 3.39 by 2019. This is mirrored in the average inventory processing period, which fluctuated between 70 and 127 days. Receivables turnover showed a similar pattern of fluctuation, dropping to 6.29 in 2016 before returning to levels near 8.68 by 2019. The average receivable collection period remained relatively stable, ranging from 39 to 58 days, suggesting a consistent efficiency in collecting payments from customers.
- Payables and the Operating Cycle
- The operating cycle, which combines inventory and receivable periods, showed a general upward trend from 139 days in 2015 to 150 days in 2019, peaking at 167 days in 2018. However, this was offset by a significant extension of the average payables payment period, which increased from 247 days in 2015 to 340 days in 2019. The payables turnover ratio declined from 1.48 to 1.07 over the same period, reflecting a slower rate of payment to suppliers.
- Cash Conversion Cycle and Working Capital Efficiency
- The cash conversion cycle remained deeply negative throughout the five-year period, moving from -108 days in 2015 to -190 days in 2019, with a peak negative value of -206 days in 2017. This indicates that the company recovers cash from sales long before it is required to pay its suppliers. Working capital turnover showed significant variance, experiencing a sharp increase from 5.01 in 2016 to 22.10 in 2019, suggesting an increasingly aggressive use of working capital to generate revenue.
Overall, the data demonstrates a strategic reliance on extended payment terms with creditors. By maintaining a payment period that substantially exceeds the operating cycle, the company has created a sustainable source of spontaneous financing, allowing for liquid capital to be deployed elsewhere within the business.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Inventory Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of operating revenues | 2,604,395) | 2,466,527) | 1,933,974) | 1,814,459) | 2,177,757) | |
| Inventories | 767,297) | 859,359) | 483,865) | 350,017) | 598,935) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 3.39 | 2.87 | 4.00 | 5.18 | 3.64 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Inventory turnover = Cost of operating revenues ÷ Inventories
= 2,604,395 ÷ 767,297 = 3.39
2 Click competitor name to see calculations.
An analysis of the inventory turnover and related operating metrics reveals a period of volatility between 2015 and 2019, characterized by fluctuating efficiency in the management of short-term assets relative to operating costs.
- Cost of Operating Revenues Trend
- Operating costs experienced a contraction in 2016, falling to 1.81 billion from 2.18 billion in 2015. Following this dip, a consistent upward trajectory was observed, with costs increasing annually to reach 2.60 billion by the end of 2019. This growth indicates an expansion in the scale of operations or an increase in the cost of production over the final four years of the period.
- Inventory Level Fluctuations
- Inventory balances showed significant instability. A substantial reduction occurred in 2016, bringing levels down to 350.02 million. This was followed by a sharp increase over the next two years, peaking at 859.36 million in 2018. A moderate reduction was noted in 2019, with inventory levels settling at 767.30 million.
- Inventory Turnover Ratio Analysis
- The inventory turnover ratio reached its highest point in 2016 at 5.18, a result of the significant reduction in inventory holdings. A downward trend followed, with the ratio declining to 4.00 in 2017 and reaching a period low of 2.87 in 2018. This decline in efficiency in 2018 correlates directly with the peak in inventory levels. A recovery began in 2019, as the ratio improved to 3.39, driven by the simultaneous decrease in inventory and the increase in operating costs.
The data suggests a direct inverse relationship between inventory accumulation and turnover efficiency. The low point in 2018 highlights a period where inventory growth outpaced the increase in operating revenues. However, the trend in 2019 indicates a return toward leaner inventory management and improved operational efficiency.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Receivables Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Operating revenues and other | 17,379,973) | 17,275,399) | 11,208,320) | 7,650,632) | 8,757,428) | |
| Accounts receivable, net | 2,001,658) | 1,915,215) | 1,597,494) | 1,216,320) | 930,610) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 8.68 | 9.02 | 7.02 | 6.29 | 9.41 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Receivables turnover = Operating revenues and other ÷ Accounts receivable, net
= 17,379,973 ÷ 2,001,658 = 8.68
2 Click competitor name to see calculations.
The analysis of receivables management from 2015 to 2019 reveals a period of volatility followed by stabilization in collection efficiency, coinciding with a significant expansion in overall operating revenues.
- Revenue and Receivables Growth
- Operating revenues exhibited a notable upward trajectory after a dip in 2016, growing from 7.65 billion US dollars to 17.38 billion US dollars by 2019. Concurrently, net accounts receivable grew consistently every year, increasing from 930.61 million US dollars in 2015 to 2.00 billion US dollars in 2019. This steady rise in receivables indicates a larger volume of outstanding credit extended to customers as the business scaled.
- Receivables Turnover Trends
- The receivables turnover ratio experienced a significant contraction in 2016, dropping to 6.29 from a 2015 high of 9.41. This decline occurred during a period of revenue contraction, suggesting that the collection cycle slowed or more lenient credit terms were granted. A subsequent recovery phase is observed, with the ratio rising to 7.02 in 2017 and reaching 9.02 in 2018, driven by aggressive revenue growth that outpaced the growth of the receivables balance.
- Operational Efficiency and Stabilization
- By the end of 2019, the turnover ratio moderated slightly to 8.68. This marginal decrease is attributable to the stabilization of operating revenues, which remained nearly flat compared to 2018, while net accounts receivable continued to increase to 2.00 billion US dollars. Despite this slight dip, the turnover rate remains robust, indicating that the company has maintained a consistent ability to convert its receivables into cash relative to the scale of its operations.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Payables Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of operating revenues | 2,604,395) | 2,466,527) | 1,933,974) | 1,814,459) | 2,177,757) | |
| Accounts payable | 2,429,127) | 2,239,850) | 1,847,131) | 1,511,826) | 1,471,953) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 1.07 | 1.10 | 1.05 | 1.20 | 1.48 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Payables turnover = Cost of operating revenues ÷ Accounts payable
= 2,604,395 ÷ 2,429,127 = 1.07
2 Click competitor name to see calculations.
An analysis of short-term operating activity from 2015 to 2019 reveals a general decline and subsequent stabilization in the efficiency of payables turnover. While both operating costs and accounts payable increased over the long term, the rate of increase in obligations to suppliers initially outpaced the growth in operating expenses, leading to a lower turnover ratio.
- Payables Turnover Ratio
- The turnover ratio exhibited a clear downward trend in the first three years, falling from 1.48 in 2015 to a low of 1.05 in 2017. This indicates a lengthening of the average payment period to suppliers. From 2017 to 2019, the ratio remained relatively flat, fluctuating slightly between 1.05 and 1.10, suggesting that the company established a new, consistent baseline for its payment cycle.
- Accounts Payable Trends
- Accounts payable demonstrated a consistent and uninterrupted increase throughout the period, growing from 1,471,953 thousand US dollars in 2015 to 2,429,127 thousand US dollars in 2019. This steady accumulation of liabilities reflects either an increase in the scale of operations or a strategic shift toward utilizing supplier credit as a source of short-term financing.
- Cost of Operating Revenues
- Operating costs showed more volatility than payables, with a dip to 1,814,459 thousand US dollars in 2016 followed by a sustained increase to 2,604,395 thousand US dollars by 2019. The fact that payables continued to rise even when operating costs decreased in 2016 contributed significantly to the reduction in the turnover ratio during that period.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Working Capital Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Current assets | 5,273,339) | 5,057,390) | 3,279,108) | 3,554,603) | 2,592,244) | |
| Less: Current liabilities | 4,486,988) | 3,728,364) | 2,725,542) | 2,027,291) | 1,819,287) | |
| Working capital | 786,351) | 1,329,026) | 553,566) | 1,527,312) | 772,957) | |
| Operating revenues and other | 17,379,973) | 17,275,399) | 11,208,320) | 7,650,632) | 8,757,428) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 22.10 | 13.00 | 20.25 | 5.01 | 11.33 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Working capital turnover = Operating revenues and other ÷ Working capital
= 17,379,973 ÷ 786,351 = 22.10
2 Click competitor name to see calculations.
The analysis of short-term operating activity indicates a period of significant volatility in working capital management coupled with a strong upward trajectory in operating revenues between 2015 and 2019.
- Operating Revenue Trends
- Operating revenues and other income exhibited a general growth pattern, rising from 8.76 billion USD in 2015 to 17.38 billion USD by 2019. A notable acceleration occurred between 2017 and 2018, where revenues increased by approximately 54%, indicating a substantial expansion in the scale of operations.
- Working Capital Volatility
- Working capital levels demonstrated inconsistent movement throughout the period. A peak was observed in 2016 at 1.53 billion USD, followed by a sharp decline to 553.6 million USD in 2017. This was succeeded by another increase to 1.33 billion USD in 2018, before decreasing again to 786.4 million USD in 2019. These fluctuations suggest alternating periods of liquidity accumulation and utilization.
- Working Capital Turnover Efficiency
- The working capital turnover ratio fluctuated significantly, reflecting the inverse relationship between fluctuating working capital and growing revenues. The lowest efficiency was recorded in 2016 with a ratio of 5.01, coinciding with the period of highest working capital and lowest revenues. Conversely, the ratio peaked in 2019 at 22.10, indicating a high level of efficiency in utilizing short-term assets to generate sales. The trajectory from 2016 to 2019 demonstrates a marked improvement in the company's ability to generate revenue per unit of working capital invested.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Average Inventory Processing Period
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Inventory turnover | 3.39 | 2.87 | 4.00 | 5.18 | 3.64 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 108 | 127 | 91 | 70 | 100 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 3.39 = 108
2 Click competitor name to see calculations.
The analysis of inventory management efficiency from 2015 through 2019 reveals a period of notable volatility, characterized by an inverse relationship between the inventory turnover ratio and the average inventory processing period. The operational cycle experienced a peak in efficiency in 2016, followed by a period of decline that reached its lowest point in 2018, before showing signs of recovery in 2019.
- Inventory Turnover Ratio
- The inventory turnover ratio exhibited a sharp increase from 3.64 in 2015 to a five-year peak of 5.18 in 2016. This trend reversed over the following two years, with the ratio declining to 4.00 in 2017 and reaching a minimum of 2.87 in 2018. A moderate recovery was observed in 2019, as the ratio rose to 3.39, indicating an improvement in the frequency of inventory replacement.
- Average Inventory Processing Period
- The processing period fluctuated in direct opposition to the turnover ratio. A significant reduction in holding time occurred in 2016, when the period dropped to 70 days from 100 days in the prior year. Subsequently, the processing period lengthened steadily to 91 days in 2017 and peaked at 127 days in 2018, representing the least efficient point of inventory movement in the analyzed timeframe. By 2019, the duration was reduced to 108 days, signaling a return toward historical averages.
Overall, the data indicates that while the organization achieved optimal inventory velocity in 2016, it faced increasing challenges in inventory movement through 2018. The partial correction observed in 2019 suggests an effort to optimize operating activity and reduce the amount of capital tied up in inventory.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Average Receivable Collection Period
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Receivables turnover | 8.68 | 9.02 | 7.02 | 6.29 | 9.41 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 42 | 40 | 52 | 58 | 39 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 8.68 = 42
2 Click competitor name to see calculations.
An analysis of the short-term operating activity between 2015 and 2019 reveals a period of volatility followed by a stabilization of receivable management. The most significant fluctuation occurred in 2016, where collection efficiency declined before returning to near-baseline levels by 2018.
- Receivables Turnover
- The turnover ratio experienced a sharp decline from 9.41 in 2015 to 6.29 in 2016, marking the lowest efficiency level in the analyzed period. A consistent upward trajectory followed, with the ratio climbing to 7.02 in 2017 and 9.02 in 2018, before experiencing a marginal decrease to 8.68 in 2019.
- Average Receivable Collection Period
- The collection period exhibited an inverse relationship with turnover, increasing from 39 days in 2015 to 58 days in 2016. This peak represents a significant slowing of cash inflows from receivables. Subsequent years showed a steady improvement, with the period decreasing to 52 days in 2017 and 40 days in 2018, eventually settling at 42 days in 2019.
The correlation between the turnover ratio and the collection period suggests that the efficiency loss in 2016 was temporary. By 2019, the company had successfully restored its collection cycle to a duration nearly identical to that of 2015, indicating a return to historical operational norms in managing short-term credit.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Operating Cycle
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 108 | 127 | 91 | 70 | 100 | |
| Average receivable collection period | 42 | 40 | 52 | 58 | 39 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 150 | 167 | 143 | 128 | 139 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 108 + 42 = 150
2 Click competitor name to see calculations.
The operating cycle demonstrates a period of fluctuation between 2015 and 2019, characterized by a general expansion in the time required to convert operational inputs into cash. The overall trend indicates that the operating cycle peaked in 2018 at 167 days before contracting to 150 days by the end of 2019.
- Average Inventory Processing Period
- This metric exhibits significant volatility over the analyzed period. Following a reduction to 70 days in 2016, the processing period increased steadily for two consecutive years, reaching a peak of 127 days in 2018. A moderate improvement occurred in 2019, bringing the period down to 108 days. This ratio serves as the primary driver of the fluctuations observed in the total operating cycle.
- Average Receivable Collection Period
- Receivable collections experienced a spike in 2016, reaching 58 days. Subsequently, a trend of improved collection efficiency was observed, with the period declining to 40 days in 2018 and remaining relatively stable at 42 days in 2019. This represents a return to the efficiency levels observed at the start of the period in 2015.
- Operating Cycle
- The total operating cycle shifted from 139 days in 2015 to 150 days in 2019. The expansion of the cycle was most pronounced in 2018, where the combined effect of extended inventory processing times and stabilized collection periods resulted in a cycle maximum of 167 days. The subsequent reduction in 2019 indicates a slight recovery in overall operational liquidity efficiency.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Average Payables Payment Period
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Payables turnover | 1.07 | 1.10 | 1.05 | 1.20 | 1.48 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 340 | 331 | 349 | 304 | 247 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 1.07 = 340
2 Click competitor name to see calculations.
An analysis of the operating activity ratios from 2015 to 2019 reveals a consistent shift in the management of accounts payable. There is a notable increase in the time taken to settle obligations with suppliers, coinciding with a decrease in the frequency of payable turnovers.
- Payables Turnover
- The turnover ratio experienced a steady decline from 1.48 in 2015 to a low of 1.05 in 2017. Although a marginal recovery to 1.10 occurred in 2018, the ratio remained low, closing at 1.07 in 2019. This downward trajectory indicates that liabilities are being settled less frequently over the five-year period.
- Average Payables Payment Period
- The payment period demonstrates a significant upward trend, rising from 247 days in 2015 to a peak of 349 days in 2017. Following a slight reduction to 331 days in 2018, the period extended again to 340 days by 2019. This represents a substantial increase in the average duration of outstanding payables.
The inverse relationship between the turnover ratio and the payment period confirms a strategic extension of credit terms. The ability to maintain payables for durations exceeding 300 days from 2016 onward suggests a trend toward optimizing working capital by deferring cash outflows, which may indicate increased bargaining power with suppliers or a prioritized focus on liquidity preservation.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Cash Conversion Cycle
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 108 | 127 | 91 | 70 | 100 | |
| Average receivable collection period | 42 | 40 | 52 | 58 | 39 | |
| Average payables payment period | 340 | 331 | 349 | 304 | 247 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | -190 | -164 | -206 | -176 | -108 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Chevron Corp. | — | — | — | — | — | |
| ConocoPhillips | — | — | — | — | — | |
| Exxon Mobil Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 108 + 42 – 340 = -190
2 Click competitor name to see calculations.
The analysis of short-term operating activity ratios reveals a consistently negative cash conversion cycle, indicating a highly efficient working capital structure where the company generates cash from sales and supplier credit before needing to pay for its inputs.
- Average Inventory Processing Period
- This metric exhibited volatility between 2015 and 2019. After an initial decline to 70 days in 2016, the period increased to a peak of 127 days in 2018 before moderating to 108 days by the end of 2019.
- Average Receivable Collection Period
- The collection period remained relatively stable, fluctuating within a narrow range. A peak of 58 days occurred in 2016, but the period subsequently contracted and stabilized around 40 to 42 days during 2018 and 2019.
- Average Payables Payment Period
- A significant and sustained upward trend is observed in the payment period. Starting at 247 days in 2015, the period expanded to 349 days by 2017 and remained elevated, ending the period at 340 days in 2019. This suggests a strong ability to negotiate extended payment terms with suppliers.
- Cash Conversion Cycle
- The overall cycle remained deeply negative throughout the five-year duration. The negative magnitude intensified from -108 days in 2015 to a peak of -206 days in 2017, ending at -190 days in 2019. The primary driver of this negative cycle is the exceptionally long payables payment period, which far outweighs the combined time required to process inventory and collect receivables.
The prevailing trend demonstrates that the company leverages its supplier relationships to finance operations, effectively utilizing accounts payable as a primary source of liquidity. The consistency of the negative cash conversion cycle indicates a structural operational advantage in managing short-term cash flows.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?