Stock Analysis on Net
Stock Analysis on Net

Analysis of Short-term (Operating) Activity Ratios
Quarterly Data

Microsoft Excel

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)

Freeport-McMoRan Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Turnover Ratios
Inventory turnover 2.40 2.56 2.48 2.61 2.61 2.48 2.61 2.71 2.60 2.77 2.59 2.65 2.68 2.62 2.91 3.07 3.09 3.25
Receivables turnover 36.13 38.80 26.53 28.39 27.44 33.46 44.04 26.19 21.87 15.92 18.90 28.67 32.43 19.02 17.05 27.47 24.84 16.00
Working capital turnover 3.54 3.23 3.33 3.23 3.19 3.16 3.26 3.09 2.87 2.79 2.77 2.46 2.36 2.28 2.46 2.47 2.37 2.78
Average No. Days
Average inventory processing period 152 143 147 140 140 147 140 135 140 132 141 138 136 139 125 119 118 112
Add: Average receivable collection period 10 9 14 13 13 11 8 14 17 23 19 13 11 19 21 13 15 23
Operating cycle 162 152 161 153 153 158 148 149 157 155 160 151 147 158 146 132 133 135

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 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).


The analysis of short-term operating activity reveals a divergence between inventory management and receivables collection efficiency, resulting in an overall expansion of the operating cycle over the observed period.

Inventory Management and Processing
A consistent downward trend is observed in inventory turnover, which declined from 3.25 in March 2022 to 2.40 by June 2026. This decline is mirrored by the average inventory processing period, which extended from 112 days to 152 days. The data indicates a gradual slowdown in the movement of stock, suggesting that inventory is remaining in the system longer before being sold.
Receivables Collection Efficiency
Receivables turnover exhibits significant volatility but demonstrates a general improvement in collection velocity. While the ratio fluctuated, it reached a peak of 44.04 in December 2024. Correspondingly, the average receivable collection period decreased from 23 days in March 2022 to 10 days by June 2026. This suggests a more aggressive or efficient credit collection process, significantly reducing the time required to convert receivables into cash.
Working Capital Utilization
Working capital turnover shows a gradual upward trajectory, rising from 2.78 in March 2022 to 3.54 in June 2026. This increase indicates that the organization is generating higher levels of revenue per unit of working capital employed, reflecting improved operational efficiency in the utilization of short-term assets.
Operating Cycle Trends
The overall operating cycle has lengthened from 135 days in March 2022 to 162 days in June 2026. Although the reduction in the receivable collection period provided a offsetting benefit, it was insufficient to counteract the substantial increase in the inventory processing period. Consequently, the total time required to convert raw materials and inventory into cash has increased over the analyzed timeframe.

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Turnover Ratios


Average No. Days


Inventory Turnover

Freeport-McMoRan Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Cost of sales 4,843 4,579 4,616 4,830 4,950 4,222 4,295 4,677 4,384 4,439 3,949 4,086 4,096 3,564 4,023 3,899 3,528 3,639
Inventories 7,864 7,420 7,493 6,998 6,954 7,074 6,808 6,443 6,474 5,977 6,060 5,949 5,810 5,737 5,180 4,819 4,670 4,454
Short-term Activity Ratio
Inventory turnover1 2.40 2.56 2.48 2.61 2.61 2.48 2.61 2.71 2.60 2.77 2.59 2.65 2.68 2.62 2.91 3.07 3.09 3.25

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 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).

1 Q2 2026 Calculation
Inventory turnover = (Cost of salesQ2 2026 + Cost of salesQ1 2026 + Cost of salesQ4 2025 + Cost of salesQ3 2025) ÷ Inventories
= (4,843 + 4,579 + 4,616 + 4,830) ÷ 7,864 = 2.40


The analysis of operating activity reveals a long-term decline in inventory efficiency, characterized by a steady increase in inventory holdings that has consistently outpaced the growth in the cost of sales over the observed period.

Cost of Sales Trends
The cost of sales exhibits a general upward trajectory accompanied by periodic fluctuations. Starting at 3,639 million USD in March 2022, these costs reached a peak of 4,950 million USD in June 2025, eventually concluding at 4,843 million USD by June 2026. While there is an overall increase in the volume of sales costs, the growth has been non-linear.
Inventory Accumulation
A consistent and sustained increase is observed in inventory levels. From March 2022 to June 2026, inventories rose from 4,454 million USD to 7,864 million USD. This represents a significant expansion in the company's asset base held in inventory, showing a steady climb with very few periods of contraction.
Inventory Turnover Ratio Analysis
The inventory turnover ratio demonstrates a persistent downward trend, declining from a high of 3.25 in March 2022 to a low of 2.40 by June 2026. Although brief intervals of recovery occurred—most notably in March 2024 when the ratio rose to 2.77—the overarching pattern indicates a slowing rate of inventory conversion. This decline is a direct result of the denominator (inventories) growing at a faster rate than the numerator (cost of sales), suggesting that inventories are remaining on hand for longer durations or that the company is strategically increasing its stockpile relative to its current sales throughput.

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Receivables Turnover

Freeport-McMoRan Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Revenues 7,029 6,234 5,633 6,972 7,582 5,728 5,720 6,790 6,624 6,321 5,905 5,824 5,737 5,389 5,758 5,003 5,416 6,603
Trade accounts receivable 716 681 977 916 941 743 578 979 1,128 1,494 1,209 792 675 1,134 1,336 844 977 1,537
Short-term Activity Ratio
Receivables turnover1 36.13 38.80 26.53 28.39 27.44 33.46 44.04 26.19 21.87 15.92 18.90 28.67 32.43 19.02 17.05 27.47 24.84 16.00

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 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).

1 Q2 2026 Calculation
Receivables turnover = (RevenuesQ2 2026 + RevenuesQ1 2026 + RevenuesQ4 2025 + RevenuesQ3 2025) ÷ Trade accounts receivable
= (7,029 + 6,234 + 5,633 + 6,972) ÷ 716 = 36.13


The analysis of receivables turnover reveals a period of significant volatility followed by a general trend toward increased collection efficiency between March 2022 and June 2026. The turnover ratio exhibits sharp quarterly fluctuations, suggesting that the company's ability to convert credit sales into cash is subject to periodic shifts in working capital management or seasonal payment patterns.

Volatility and Peak Performance
The receivables turnover ratio experienced substantial variance, reaching a peak of 44.04 by December 31, 2024. This represents a dramatic increase from the period's low of 15.92 observed in March 2024. These fluctuations indicate inconsistent intervals in the collection cycle, though the latter half of the observed period shows a higher baseline of turnover compared to 2022.
Correlation Between Receivables Balance and Turnover
An inverse relationship is observed between the trade accounts receivable balance and the turnover ratio. For instance, when receivables reached a local high of 1,494 million USD in March 2024, the turnover ratio dropped to 15.92. Conversely, the highest turnover ratio of 44.04 occurred when trade accounts receivable declined to 578 million USD in December 2024, despite revenues remaining relatively stable. This suggests that changes in the turnover ratio are driven more by the management of the receivables balance than by fluctuations in total revenue.
Long-term Efficiency Trends
A comparative analysis of the early and late periods indicates an overall improvement in operating activity. In 2022, the ratio primarily fluctuated between 16.00 and 27.47. By 2025 and 2026, the ratio maintained a higher range, generally staying between 26.53 and 38.80. This upward shift suggests a more aggressive or efficient collection strategy and a reduction in the average collection period over the long term.

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Working Capital Turnover

Freeport-McMoRan Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Current assets 14,165 14,092 13,790 13,564 13,636 13,802 13,296 14,545 14,722 14,842 14,065 14,077 14,057 14,746 15,613 15,373 16,182 15,302
Less: Current liabilities 6,856 5,907 6,019 5,526 5,531 5,943 5,496 6,247 6,136 6,305 5,815 4,860 4,788 5,281 6,345 5,999 5,932 6,454
Working capital 7,309 8,185 7,771 8,038 8,105 7,859 7,800 8,298 8,586 8,537 8,250 9,217 9,269 9,465 9,268 9,374 10,250 8,848
 
Revenues 7,029 6,234 5,633 6,972 7,582 5,728 5,720 6,790 6,624 6,321 5,905 5,824 5,737 5,389 5,758 5,003 5,416 6,603
Short-term Activity Ratio
Working capital turnover1 3.54 3.23 3.33 3.23 3.19 3.16 3.26 3.09 2.87 2.79 2.77 2.46 2.36 2.28 2.46 2.47 2.37 2.78

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 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).

1 Q2 2026 Calculation
Working capital turnover = (RevenuesQ2 2026 + RevenuesQ1 2026 + RevenuesQ4 2025 + RevenuesQ3 2025) ÷ Working capital
= (7,029 + 6,234 + 5,633 + 6,972) ÷ 7,309 = 3.54


The financial performance from March 2022 through June 2026 demonstrates a progressive increase in operational efficiency regarding the utilization of working capital to generate revenue. While revenue levels experienced cyclical volatility, the overall trend in working capital turnover is positive, indicating a more lean approach to managing short-term assets and liabilities.

Working Capital Trends
A general downward trajectory is observed in working capital levels. After reaching a peak of 10,250 million USD in June 2022, the value gradually declined to 7,309 million USD by June 2026. This reduction suggests a strategic optimization of current assets or a decrease in the net investment required to maintain daily operations.
Revenue Volatility
Revenues exhibited significant fluctuations over the analyzed period, reflecting the cyclical nature of the industry. A low point was recorded in September 2022 at 5,003 million USD, followed by a recovery and a subsequent peak of 7,582 million USD in June 2025. Despite these fluctuations, the revenue base remained resilient, ending the period at 7,029 million USD in June 2026.
Working Capital Turnover Efficiency
The working capital turnover ratio shows a clear upward trend starting from mid-2023. After hitting a trough of 2.28 in March 2023, the ratio climbed steadily, surpassing 3.00 by December 2024 and reaching a period high of 3.54 by June 2026. This improvement is attributed to the simultaneous decrease in working capital and the general stabilization or growth of revenues.
Operational Insights
The divergence between declining working capital and an increasing turnover ratio indicates enhanced liquidity management. The company successfully increased its revenue-generating capacity per unit of working capital, moving from a ratio of 2.78 in March 2022 to 3.54 in June 2026, which signifies a higher velocity of capital circulation within the operating cycle.

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Average Inventory Processing Period

Freeport-McMoRan Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Inventory turnover 2.40 2.56 2.48 2.61 2.61 2.48 2.61 2.71 2.60 2.77 2.59 2.65 2.68 2.62 2.91 3.07 3.09 3.25
Short-term Activity Ratio (no. days)
Average inventory processing period1 152 143 147 140 140 147 140 135 140 132 141 138 136 139 125 119 118 112

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 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).

1 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.40 = 152


The operating activity ratios for the analyzed period demonstrate a consistent decline in inventory management efficiency, characterized by a slowing of the inventory turnover rate and a corresponding extension of the time required to process inventory.

Inventory Turnover Ratio
A sustained downward trend is observed in the inventory turnover ratio, which decreased from a peak of 3.25 in March 2022 to 2.40 by June 2026. While there were minor periodic fluctuations—such as a brief recovery to 2.77 in March 2024—the overall trajectory indicates that inventory is being cycled through the operational process less frequently over time.
Average Inventory Processing Period
The average inventory processing period exhibits an inverse correlation with the turnover ratio, showing a steady increase in the number of days required to move inventory. The period began at a minimum of 112 days in March 2022 and rose to a maximum of 152 days by June 2026. A significant escalation occurred between December 2022 (125 days) and March 2023 (139 days), after which the period largely fluctuated between 132 and 147 days before reaching its eventual peak.

The data indicates a lengthening of the operational cycle. The increase in the processing period by 40 days over the observed timeframe suggests a reduction in the velocity of inventory movement, which may be attributed to changes in production volumes, shifts in market demand, or strategic adjustments in inventory stockpiling.

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Average Receivable Collection Period

Freeport-McMoRan Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Receivables turnover 36.13 38.80 26.53 28.39 27.44 33.46 44.04 26.19 21.87 15.92 18.90 28.67 32.43 19.02 17.05 27.47 24.84 16.00
Short-term Activity Ratio (no. days)
Average receivable collection period1 10 9 14 13 13 11 8 14 17 23 19 13 11 19 21 13 15 23

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 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).

1 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 36.13 = 10


The analysis of receivables management reveals a general improvement in the efficiency of credit collection over the period from March 2022 to June 2026. The average receivable collection period exhibits notable volatility in the initial three years, followed by a period of stabilization and optimization.

Receivables Turnover Trends
The turnover ratio demonstrates significant variance, ranging from a low of 15.92 in March 2024 to a peak of 44.04 in December 2024. An overall increasing trend is observable, particularly starting in 2024, which suggests an acceleration in the rate at which receivables are converted into cash.
Average Receivable Collection Period Analysis
The collection period fluctuates between a maximum of 23 days and a minimum of 8 days. Higher collection durations were recorded in March 2022 and March 2024. A marked optimization phase occurred throughout 2024, resulting in the shortest collection period of 8 days by the end of that calendar year.
Operational Efficiency and Stability
Following the efficiency peak in late 2024, the collection period stabilized between 11 and 14 days throughout 2025. Data from the first half of 2026 indicates a sustained improvement, with the period decreasing further to 9 and 10 days. This signifies a more streamlined and consistent credit-to-cash cycle relative to the baseline established in 2022 and 2023.

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Operating Cycle

Freeport-McMoRan Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Average inventory processing period 152 143 147 140 140 147 140 135 140 132 141 138 136 139 125 119 118 112
Average receivable collection period 10 9 14 13 13 11 8 14 17 23 19 13 11 19 21 13 15 23
Short-term Activity Ratio
Operating cycle1 162 152 161 153 153 158 148 149 157 155 160 151 147 158 146 132 133 135

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 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).

1 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 152 + 10 = 162


The operating cycle exhibits an overall upward trajectory over the analyzed period, increasing from 135 days in March 2022 to 162 days by June 2026. This extension is primarily driven by a consistent increase in the time required to process inventory, which offset the efficiency gains achieved in the collection of receivables.

Average Inventory Processing Period
A sustained increase is observed in the inventory processing period, which rose from 112 days in the first quarter of 2022 to a peak of 152 days by mid-2026. While a brief correction to 132 days occurred in March 2024, the general trend indicates a slowing of inventory turnover. The period remained largely stabilized between 140 and 147 days throughout 2024 and 2025, suggesting a structural shift in inventory management or production cycles.
Average Receivable Collection Period
Conversely, the receivable collection period demonstrates a general trend of improvement and increased efficiency. Starting at 23 days in March 2022, the period experienced volatility before trending downward to a low of 8 days in December 2024. By June 2026, the collection period stabilized at 10 days. This indicates a significant enhancement in the company's ability to convert credit sales into cash more rapidly.
Operating Cycle Dynamics
The net effect of these two divergent trends is a lengthening of the total operating cycle. The reduction in the receivable collection period—which decreased by approximately 13 days over the full term—was insufficient to counteract the 40-day increase in the inventory processing period. Consequently, the operating cycle expanded from 135 days to 162 days, reflecting a greater requirement for working capital to support the duration of the operating process.

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