AI Tokens
Stock Analysis on Net

Halliburton Co. (NYSE:HAL)

This company has been moved to the archive! The financial data has not been updated since February 13, 2019.

Analysis of Short-term (Operating) Activity Ratios

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

Halliburton Co., short-term (operating) activity ratios

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Turnover Ratios
Inventory turnover 6.94 7.66 6.60 8.74 7.71
Receivables turnover 4.58 4.09 4.05 4.44 4.35
Payables turnover 6.96 7.19 8.52 10.46 9.78
Working capital turnover 3.78 3.49 2.08 1.45 3.58
Average No. Days
Average inventory processing period 53 48 55 42 47
Add: Average receivable collection period 80 89 90 82 84
Operating cycle 133 137 145 124 131
Less: Average payables payment period 52 51 43 35 37
Cash conversion cycle 81 86 102 89 94

Based on: 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), 10-K (reporting date: 2014-12-31).


The analysis of short-term operating activity ratios from 2014 to 2018 reveals a period of volatility in asset management coupled with a strategic extension of payment obligations.

Asset Management and Turnover
Inventory turnover exhibited fluctuation, peaking at 8.74 in 2015 before declining to 6.94 by 2018. This volatility is reflected in the average inventory processing period, which varied between a minimum of 42 days in 2015 and a maximum of 55 days in 2016. Receivables turnover remained relatively stable, ranging from 4.05 to 4.58, with the average collection period showing a gradual improvement from a peak of 90 days in 2016 to 80 days in 2018.
Liability Management
A consistent downward trend is observed in payables turnover, which decreased from 9.78 in 2014 to 6.96 in 2018. Consequently, the average payables payment period increased steadily from 37 days to 52 days over the five-year period. This indicates a deliberate shift toward extending the time taken to settle obligations with suppliers.
Operating and Cash Conversion Cycles
The operating cycle peaked at 145 days in 2016 but contracted to 133 days by 2018. Despite the fluctuations in the operating cycle, the cash conversion cycle showed an overall improvement, decreasing from 94 days in 2014 to 81 days in 2018. The reduction in the cash conversion cycle was primarily driven by the extension of the payables payment period, which offset the inefficiencies observed in inventory and receivables processing during the mid-period.
Working Capital Efficiency
Working capital turnover experienced a significant decline in 2015, dropping to 1.45, but recovered steadily thereafter to reach 3.78 by 2018. This upward trajectory in the latter years suggests an increased efficiency in utilizing net working capital to support revenue generation.

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

Halliburton Co., inventory turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data (US$ in millions)
Cost of services and product sales 21,009 18,355 15,023 21,113 27,530
Inventories 3,028 2,396 2,275 2,417 3,571
Short-term Activity Ratio
Inventory turnover1 6.94 7.66 6.60 8.74 7.71
Benchmarks
Inventory Turnover, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Inventory turnover = Cost of services and product sales ÷ Inventories
= 21,009 ÷ 3,028 = 6.94

2 Click competitor name to see calculations.


An analysis of operating activity reveals significant volatility in inventory management and cost structures between 2014 and 2018. The period is characterized by a sharp contraction in activity through 2016, followed by a gradual recovery in both cost of services and inventory levels.

Cost of Services and Product Sales
A substantial decline in the cost of services and product sales is observed from 2014 to 2016, falling from US$ 27,530 million to a low of US$ 15,023 million. This represents a contraction of approximately 45% over two years. A recovery trend followed, with values rising to US$ 18,355 million in 2017 and reaching US$ 21,009 million by the end of 2018, although levels remained below the 2014 baseline.
Inventory Levels
Inventory holdings followed a similar trajectory to the cost of services, decreasing from US$ 3,571 million in 2014 to US$ 2,275 million in 2016. A subsequent increase is noted in 2017 and 2018, with inventory levels rising to US$ 3,028 million by the end of the period. The increase in 2018 suggests a strategic restocking or a response to increased operational demand.
Inventory Turnover Ratio
The inventory turnover ratio exhibited non-linear fluctuations. An increase in efficiency is noted in 2015, where the ratio peaked at 8.74, indicating that inventories were reduced more aggressively than the decline in sales. However, the ratio dropped to its lowest point of 6.60 in 2016. While a recovery to 7.66 occurred in 2017, the ratio declined again to 6.94 in 2018. This final decrease, despite rising costs of services, suggests that the growth in inventory holdings outpaced the growth in sales activity during the final year of the analyzed 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?


Receivables Turnover

Halliburton Co., receivables turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data (US$ in millions)
Revenue 23,995 20,620 15,887 23,633 32,870
Receivables, less allowances for bad debts 5,234 5,036 3,922 5,317 7,564
Short-term Activity Ratio
Receivables turnover1 4.58 4.09 4.05 4.44 4.35
Benchmarks
Receivables Turnover, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Receivables turnover = Revenue ÷ Receivables, less allowances for bad debts
= 23,995 ÷ 5,234 = 4.58

2 Click competitor name to see calculations.


An analysis of operating activity between 2014 and 2018 reveals a period of significant volatility in revenue followed by a phased recovery. Revenue experienced a sharp decline from US$ 32,870 million in 2014 to a low of US$ 15,887 million in 2016, before trending upward to reach US$ 23,995 million by the end of 2018.

Receivables Balance Trends
Net receivables mirrored the trajectory of revenue, decreasing from US$ 7,564 million in 2014 to a minimum of US$ 3,922 million in 2016. This was followed by a steady increase to US$ 5,234 million in 2018. The close correlation between revenue levels and receivables balances indicates that the volume of outstanding credit was primarily driven by the overall scale of business operations.
Receivables Turnover Performance
The receivables turnover ratio remained relatively stable despite the substantial fluctuations in top-line revenue. The ratio moved from 4.35 in 2014 to 4.44 in 2015, before dipping to a five-year low of 4.05 in 2016. A subsequent recovery trend is observed, with the ratio increasing to 4.09 in 2017 and reaching a peak of 4.58 in 2018.
Operational Efficiency Insights
The narrow range of the turnover ratio suggests a consistent application of credit policies and collection strategies regardless of the contraction or expansion of revenue. The peak ratio of 4.58 in 2018 signifies an improvement in the efficiency of converting accounts receivable into cash, indicating a more aggressive or effective collection cycle during the most recent recovery 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?


Payables Turnover

Halliburton Co., payables turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data (US$ in millions)
Cost of services and product sales 21,009 18,355 15,023 21,113 27,530
Accounts payable 3,018 2,554 1,764 2,019 2,814
Short-term Activity Ratio
Payables turnover1 6.96 7.19 8.52 10.46 9.78
Benchmarks
Payables Turnover, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Payables turnover = Cost of services and product sales ÷ Accounts payable
= 21,009 ÷ 3,018 = 6.96

2 Click competitor name to see calculations.


The financial data from 2014 to 2018 reveals a period of significant volatility in operating costs coupled with a steady decline in payables turnover. While the cost of services and product sales experienced a sharp contraction between 2014 and 2016, followed by a gradual recovery through 2018, the management of accounts payable shifted toward a longer payment cycle.

Payables Turnover Trend
A consistent downward trajectory in the payables turnover ratio is observed following a peak in 2015. The ratio moved from 10.46 in 2015 to 8.52 in 2016, 7.19 in 2017, and reached a period low of 6.96 by 2018. This decline indicates a reduction in the frequency with which the company settles its obligations to suppliers.
Correlation Between Operating Costs and Payables
The cost of services and product sales decreased from US$ 27,530 million in 2014 to a trough of US$ 15,023 million in 2016, before rebounding to US$ 21,009 million in 2018. During the recovery phase of 2017 and 2018, accounts payable grew at a faster rate than the costs themselves, rising from US$ 1,764 million in 2016 to US$ 3,018 million in 2018. This disproportionate increase in liabilities relative to costs is the primary driver behind the diminishing turnover ratio.
Liquidity and Operational Implications
The observed trend suggests an increasing reliance on supplier credit to finance short-term operations. By extending the payment period to vendors, the company has effectively slowed its cash outflows. This strategy provides a liquidity buffer, particularly during the period of rising operating costs seen in the latter half of the analyzed timeframe.

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

Halliburton Co., working capital turnover calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data (US$ in millions)
Current assets 11,151 10,777 11,677 21,609 15,068
Less: Current liabilities 4,802 4,862 4,023 5,359 5,883
Working capital 6,349 5,915 7,654 16,250 9,185
 
Revenue 23,995 20,620 15,887 23,633 32,870
Short-term Activity Ratio
Working capital turnover1 3.78 3.49 2.08 1.45 3.58
Benchmarks
Working Capital Turnover, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Working capital turnover = Revenue ÷ Working capital
= 23,995 ÷ 6,349 = 3.78

2 Click competitor name to see calculations.


Between 2014 and 2018, a period of significant volatility was observed in revenue and working capital, which directly impacted the efficiency of short-term asset utilization. The company experienced a sharp contraction in operational scale through 2016, followed by a recovery phase that improved the relationship between working capital and revenue generation.

Revenue Performance
A substantial downward trend in revenue is evident from 2014 to 2016, with figures falling from US$ 32,870 million to a period low of US$ 15,887 million. This trend reversed after 2016, as revenues climbed steadily to US$ 20,620 million in 2017 and reached US$ 23,995 million by the end of 2018.
Working Capital Management
Working capital exhibited an irregular pattern, peaking at US$ 16,250 million in 2015 during a period of declining revenue. This was followed by a rapid reduction in working capital, which fell to US$ 7,654 million in 2016 and reached its lowest point of US$ 5,915 million in 2017, before slightly increasing to US$ 6,349 million in 2018.
Working Capital Turnover Analysis
The working capital turnover ratio reflects a significant decline in efficiency in 2015, dropping from 3.58 to 1.45. This deterioration occurred because working capital increased while revenues simultaneously decreased. However, a consistent recovery is observed from 2016 onward, with the ratio rising to 2.08, 3.49, and finally 3.78 in 2018. The end of the period shows a higher turnover ratio than the start, suggesting that the company optimized its operating liquidity to generate more revenue per unit of working capital by 2018.

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

Halliburton Co., average inventory processing period calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data
Inventory turnover 6.94 7.66 6.60 8.74 7.71
Short-term Activity Ratio (no. days)
Average inventory processing period1 53 48 55 42 47
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 6.94 = 53

2 Click competitor name to see calculations.


The analysis of short-term operating activity ratios reveals a period of volatility in inventory management from 2014 to 2018. The company demonstrated an inconsistent pattern in inventory efficiency, characterized by alternating cycles of rapid turnover and subsequent slowdowns in processing times.

Inventory Turnover
A peak in efficiency was observed in 2015, with the turnover ratio reaching 8.74. This was followed by a significant decline to 6.60 in 2016. Although a recovery occurred in 2017 with a ratio of 7.66, the trend reversed again in 2018, closing the period at 6.94.
Average Inventory Processing Period
The processing duration inversely mirrors the turnover trends, reaching its minimum of 42 days in 2015. A notable increase to 55 days in 2016 indicates a reduction in the speed of inventory conversion. Following a correction to 48 days in 2017, the processing period lengthened once more to 53 days by the end of 2018.

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

Halliburton Co., average receivable collection period calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data
Receivables turnover 4.58 4.09 4.05 4.44 4.35
Short-term Activity Ratio (no. days)
Average receivable collection period1 80 89 90 82 84
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 4.58 = 80

2 Click competitor name to see calculations.


An examination of the operating activity ratios from 2014 to 2018 reveals a fluctuating but overall stable pattern in the management of receivables. The inverse correlation between the receivables turnover ratio and the average receivable collection period is consistently maintained throughout the analyzed timeframe.

Receivables Turnover Trends
The turnover ratio experienced a modest increase from 4.35 in 2014 to 4.44 in 2015, before declining to a five-year low of 4.05 in 2016. A period of stabilization followed in 2017 with a ratio of 4.09, leading to a significant increase to 4.58 by December 31, 2018. This final increase represents the highest level of efficiency in converting receivables into revenue during the observed period.
Average Receivable Collection Period Trends
The collection period mirrored the turnover fluctuations, beginning at 84 days in 2014 and improving to 82 days in 2015. A peak in the collection cycle occurred in 2016, reaching 90 days, which coincided with the lowest turnover ratio. Efficiency improved incrementally to 89 days in 2017 and reached a period minimum of 80 days in 2018.

The overall trajectory indicates a strengthening of credit management and collection efficiency toward the end of the period. The reduction of the collection cycle to 80 days by 2018 suggests an enhanced ability to accelerate cash inflows from customers, thereby optimizing the company's short-term liquidity position and operating cycle.

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

Halliburton Co., operating cycle calculation, comparison to benchmarks

No. days

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data
Average inventory processing period 53 48 55 42 47
Average receivable collection period 80 89 90 82 84
Short-term Activity Ratio
Operating cycle1 133 137 145 124 131
Benchmarks
Operating Cycle, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 53 + 80 = 133

2 Click competitor name to see calculations.


The analysis of the operating cycle reveals a period of fluctuation between 2014 and 2018, characterized by a peak in operational duration during the 2016 fiscal year. The overall efficiency of the working capital cycle is heavily influenced by the time required to collect receivables, which constitutes the majority of the total cycle length.

Average Inventory Processing Period
Inventory management demonstrates volatility, with processing times fluctuating between a minimum of 42 days in 2015 and a maximum of 55 days in 2016. A subsequent decrease to 48 days in 2017 was followed by a slight increase to 53 days in 2018, suggesting inconsistent inventory turnover efficiency throughout the period.
Average Receivable Collection Period
The collection period represents the most significant component of the total operating cycle. After remaining relatively stable between 2014 and 2015, the period lengthened to 90 days in 2016. A positive trend emerged thereafter, culminating in a reduction to 80 days by 2018, indicating an improvement in credit collection efficiency and a acceleration of cash inflows.
Operating Cycle
The total operating cycle mirrors the trajectories of its underlying components, reaching a peak of 145 days in 2016. This represents a deterioration in liquidity efficiency compared to the 124-day low observed in 2015. Following the 2016 peak, the cycle trended downward to 133 days by 2018, reflecting a general recovery in the speed of the cash conversion process.

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

Halliburton Co., average payables payment period calculation, comparison to benchmarks

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data
Payables turnover 6.96 7.19 8.52 10.46 9.78
Short-term Activity Ratio (no. days)
Average payables payment period1 52 51 43 35 37
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 6.96 = 52

2 Click competitor name to see calculations.


An analysis of short-term activity ratios reveals a progressive extension of the payables cycle between 2015 and 2018. While the company maintained a relatively efficient payment schedule in the early part of the observed period, there is a clear trend toward delaying payments to suppliers in subsequent years.

Payables Turnover
The payables turnover ratio experienced a slight increase from 9.78 in 2014 to a peak of 10.46 in 2015. However, this was followed by a consistent downward trend, declining to 8.52 in 2016, 7.19 in 2017, and ultimately reaching 6.96 by the end of 2018. This contraction indicates a reduction in the frequency with which the company settles its short-term obligations to vendors.
Average Payables Payment Period
The average payment period demonstrates an inverse relationship with the turnover ratio. After reaching a minimum of 35 days in 2015, the payment period expanded steadily to 43 days in 2016, 51 days in 2017, and 52 days in 2018. This represents a total increase of 17 days from the 2015 low, suggesting a strategic shift in working capital management or a decrease in the speed of cash outflows related to trade payables.

The correlation between the declining turnover ratio and the increasing payment period confirms a lengthening of the cash conversion cycle regarding accounts payable. The transition from a 35-day payment cycle in 2015 to a 52-day cycle in 2018 suggests that the company successfully extended its credit terms with suppliers, thereby retaining cash for longer periods.

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

Halliburton Co., cash conversion cycle calculation, comparison to benchmarks

No. days

Microsoft Excel
Dec 31, 2018 Dec 31, 2017 Dec 31, 2016 Dec 31, 2015 Dec 31, 2014
Selected Financial Data
Average inventory processing period 53 48 55 42 47
Average receivable collection period 80 89 90 82 84
Average payables payment period 52 51 43 35 37
Short-term Activity Ratio
Cash conversion cycle1 81 86 102 89 94
Benchmarks
Cash Conversion Cycle, Competitors2
SLB N.V. — — — — —

Based on: 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), 10-K (reporting date: 2014-12-31).

1 2018 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 53 + 80 – 52 = 81

2 Click competitor name to see calculations.


The cash conversion cycle exhibited a non-linear progression between 2014 and 2018, characterized by a peak in 2016 followed by a sustained contraction. By the end of the observed period, the cycle reached its lowest point of 81 days, indicating an overall improvement in the efficiency of working capital management.

Average Inventory Processing Period
The duration required to process inventory remained volatile, fluctuating between a low of 42 days in 2015 and a high of 55 days in 2016. No definitive linear trend is present, as the period closed 2018 at 53 days, reflecting inconsistent inventory turnover efficiency.
Average Receivable Collection Period
The collection of receivables showed relative stability, with a temporary increase to 90 days in 2016 before declining to 80 days by 2018. This suggests a gradual improvement in the speed of converting credit sales into cash toward the end of the period.
Average Payables Payment Period
A consistent upward trend is observed in the payment of accounts payable, which increased from 37 days in 2014 to 52 days in 2018. The extension of payment terms to suppliers has functioned as a significant lever in reducing the overall cash conversion cycle.
Cash Conversion Cycle Dynamics
The overall cycle peaked at 102 days in 2016, coinciding with peak values in both inventory processing and receivable collection periods. The subsequent reduction to 81 days by 2018 was driven primarily by the strategic lengthening of the payables period and a reduction in the time required to collect receivables.

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?