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

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

Coca-Cola Co., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Oct 2, 2026 Jul 3, 2026 Apr 3, 2026 Dec 31, 2025 Sep 26, 2025 Jun 27, 2025 Mar 28, 2025 Dec 31, 2024 Sep 27, 2024 Jun 28, 2024 Mar 29, 2024 Dec 31, 2023 Sep 29, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jul 1, 2022 Apr 1, 2022
Turnover Ratios
Inventory turnover 4.36 4.11 3.99 4.16 3.81 3.57 3.58 3.88 3.89 3.85 3.72 4.19 4.33 3.94 3.86 4.25 4.74 4.69 4.26
Receivables turnover 14.30 13.43 13.41 15.78 12.08 11.29 11.46 13.19 10.95 10.22 10.86 13.42 12.88 11.12 9.46 12.33 10.60 9.19 8.65
Working capital turnover 5.60 6.53 6.15 4.91 10.04 10.09 19.78 62.92 26.97 19.89 41.66 14.47 13.02 12.70 12.35 15.00 15.68 15.83 11.91
Average No. Days
Average inventory processing period 84 89 92 88 96 102 102 94 94 95 98 87 84 93 95 86 77 78 86
Add: Average receivable collection period 26 27 27 23 30 32 32 28 33 36 34 27 28 33 39 30 34 40 42
Operating cycle 110 116 119 111 126 134 134 122 127 131 132 114 112 126 134 116 111 118 128

Based on: 10-Q (reporting date: 2026-10-02), 10-Q (reporting date: 2026-07-03), 10-Q (reporting date: 2026-04-03), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-26), 10-Q (reporting date: 2025-06-27), 10-Q (reporting date: 2025-03-28), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-27), 10-Q (reporting date: 2024-06-28), 10-Q (reporting date: 2024-03-29), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-29), 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: 2022-07-01), 10-Q (reporting date: 2022-04-01).


The analysis of short-term operating activity ratios reveals a period of fluctuating inventory efficiency, a consistent improvement in receivables collection, and significant volatility in working capital utilization over the observed timeframe.

Inventory Management Efficiency
Inventory turnover ratios show a general downward trend from a peak of 4.74 in September 2022 to a low of 3.57 in June 2025, before recovering to 4.36 by October 2026. This trend is mirrored in the average inventory processing period, which expanded from 77 days in late 2022 to a peak of 102 days in early 2025. The data suggests a period of slowing inventory movement during 2024 and 2025, followed by a return to higher efficiency levels in late 2025 and 2026.
Receivables Collection Performance
A sustained improvement in the collection of receivables is observed. The receivables turnover ratio increased from 8.65 in April 2022 to 14.30 by October 2026, with a notable peak of 15.78 in December 2025. Consequently, the average receivable collection period decreased from 42 days at the start of the period to 26 days by the end, indicating more aggressive or efficient credit management and a faster conversion of receivables into cash.
Working Capital Utilization
Working capital turnover exhibited extreme volatility, particularly throughout 2024. After remaining relatively stable between 11.91 and 15.83 in 2022 and 2023, the ratio spiked to 41.66 in March 2024 and reached a maximum of 62.92 in December 2024. This was followed by a sharp contraction, falling to a low of 4.91 in December 2025 and ending at 5.60 in October 2026. These fluctuations suggest substantial changes in the composition of current assets and liabilities rather than a steady operational trend.
Operating Cycle Trends
The total operating cycle remained relatively stable, oscillating between a high of 134 days in March and June 2025 and a low of 110 days in October 2026. While the inventory processing period tended to lengthen during the middle of the period, this was partially offset by the shortening of the receivable collection period. The overall trend indicates a slight improvement in the total time required to convert raw materials into cash by the conclusion of the analyzed period.

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Inventory Turnover

Coca-Cola Co., inventory turnover calculation (quarterly data)

Microsoft Excel
Oct 2, 2026 Jul 3, 2026 Apr 3, 2026 Dec 31, 2025 Sep 26, 2025 Jun 27, 2025 Mar 28, 2025 Dec 31, 2024 Sep 27, 2024 Jun 28, 2024 Mar 29, 2024 Dec 31, 2023 Sep 29, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jul 1, 2022 Apr 1, 2022
Selected Financial Data (US$ in millions)
Cost of goods sold 4,930 4,965 4,620 4,723 4,797 4,714 4,163 4,613 4,664 4,812 4,235 4,634 4,657 4,912 4,317 4,513 4,566 4,830 4,091
Inventories 4,410 4,647 4,730 4,425 4,802 5,082 5,102 4,728 4,714 4,763 4,961 4,424 4,252 4,646 4,727 4,233 3,708 3,621 3,741
Short-term Activity Ratio
Inventory turnover1 4.36 4.11 3.99 4.16 3.81 3.57 3.58 3.88 3.89 3.85 3.72 4.19 4.33 3.94 3.86 4.25 4.74 4.69 4.26
Benchmarks
Inventory Turnover, Competitors2
Mondelēz International Inc. 5.91 6.20 6.86 6.25 5.09 5.06 5.76 5.80 5.18 5.35 5.92 6.16 5.78 5.66 5.82 5.97 5.71 6.12 6.33
PepsiCo Inc. 7.00 6.63 7.06 7.37 6.98 6.44 7.32 7.87 7.38 7.12 7.57 7.85 7.59 7.01 7.22 7.77 7.83 7.26 7.95
Philip Morris International Inc. 1.35 1.21 1.19 1.16 1.29 1.22 1.30 1.41 1.43 1.40 1.31 1.20 1.31 1.25 1.10 1.15 1.54 1.41 1.19

Based on: 10-Q (reporting date: 2026-10-02), 10-Q (reporting date: 2026-07-03), 10-Q (reporting date: 2026-04-03), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-26), 10-Q (reporting date: 2025-06-27), 10-Q (reporting date: 2025-03-28), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-27), 10-Q (reporting date: 2024-06-28), 10-Q (reporting date: 2024-03-29), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-29), 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: 2022-07-01), 10-Q (reporting date: 2022-04-01).

1 Q3 2026 Calculation
Inventory turnover = (Cost of goods soldQ3 2026 + Cost of goods soldQ2 2026 + Cost of goods soldQ1 2026 + Cost of goods soldQ4 2025) ÷ Inventories
= (4,930 + 4,965 + 4,620 + 4,723) ÷ 4,410 = 4.36

2 Click competitor name to see calculations.


An analysis of the operational activity ratios indicates a period of volatility in inventory management efficiency between April 2022 and October 2026. The inventory turnover ratio experienced an initial peak, followed by a prolonged decline, and a subsequent recovery toward the end of the observed period.

Turnover Efficiency Trends
The highest efficiency levels were recorded in the second half of 2022, peaking at a ratio of 4.74 in September 2022. Subsequently, a downward trajectory was observed, with the ratio reaching its lowest points in late 2024 and early 2025, specifically dipping to 3.58 in December 2024 and 3.57 in June 2025. A recovery phase began in the second half of 2025, with the ratio trending upward to finish at 4.36 by October 2026.
Inventory Level Correlation
The decline in turnover ratios correlates with a steady increase in inventory holdings. Inventories grew from 3.74 billion USD in April 2022 to a peak of 5.10 billion USD by March 2025. This expansion of the asset base, without a proportional increase in the cost of goods sold, resulted in a reduction in turnover speed. The recovery in the turnover ratio from mid-2025 onward coincides with a reduction in inventory levels, which decreased to 4.41 billion USD by October 2026.
Cost of Goods Sold (COGS) Behavior
Cost of goods sold exhibited consistent seasonal fluctuations, generally oscillating between 4.1 billion and 4.9 billion USD. Because the COGS remained relatively stable over the long term, the fluctuations in the inventory turnover ratio were primarily driven by changes in the volume of inventory held rather than significant shifts in sales volume or production costs.

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Receivables Turnover

Coca-Cola Co., receivables turnover calculation (quarterly data)

Microsoft Excel
Oct 2, 2026 Jul 3, 2026 Apr 3, 2026 Dec 31, 2025 Sep 26, 2025 Jun 27, 2025 Mar 28, 2025 Dec 31, 2024 Sep 27, 2024 Jun 28, 2024 Mar 29, 2024 Dec 31, 2023 Sep 29, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jul 1, 2022 Apr 1, 2022
Selected Financial Data (US$ in millions)
Net operating revenues 13,380 13,380 12,472 11,822 12,455 12,535 11,129 11,544 11,854 12,363 11,300 10,849 11,953 11,972 10,980 10,125 11,063 11,325 10,491
Trade accounts receivable, less allowances 3,571 3,732 3,675 3,038 3,946 4,168 4,091 3,569 4,233 4,545 4,244 3,410 3,495 3,970 4,599 3,487 3,994 4,494 4,641
Short-term Activity Ratio
Receivables turnover1 14.30 13.43 13.41 15.78 12.08 11.29 11.46 13.19 10.95 10.22 10.86 13.42 12.88 11.12 9.46 12.33 10.60 9.19 8.65
Benchmarks
Receivables Turnover, Competitors2
Mondelēz International Inc. 8.11 9.89 8.94 9.87 8.99 10.52 8.44 9.41 9.51 11.37 9.04 9.91 10.12 11.63 9.39 10.20 10.80 12.11 9.94
PepsiCo Inc. 7.21 7.18 7.84 8.16 7.31 7.41 8.47 8.89 7.60 7.71 8.40 8.46 7.78 7.87 8.41 8.50 7.79 7.80 8.58
Philip Morris International Inc. 8.37 8.21 8.10 8.89 8.34 7.82 7.87 10.00 8.78 8.60 8.58 10.16 8.81 8.07 8.80 8.25 8.21 8.32 8.65

Based on: 10-Q (reporting date: 2026-10-02), 10-Q (reporting date: 2026-07-03), 10-Q (reporting date: 2026-04-03), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-26), 10-Q (reporting date: 2025-06-27), 10-Q (reporting date: 2025-03-28), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-27), 10-Q (reporting date: 2024-06-28), 10-Q (reporting date: 2024-03-29), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-29), 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: 2022-07-01), 10-Q (reporting date: 2022-04-01).

1 Q3 2026 Calculation
Receivables turnover = (Net operating revenuesQ3 2026 + Net operating revenuesQ2 2026 + Net operating revenuesQ1 2026 + Net operating revenuesQ4 2025) ÷ Trade accounts receivable, less allowances
= (13,380 + 13,380 + 12,472 + 11,822) ÷ 3,571 = 14.30

2 Click competitor name to see calculations.


The analysis of quarterly operational activity indicates a general upward trajectory in both net operating revenues and the efficiency of receivables collection over the period from April 2022 to October 2026. While revenues exhibit growth and seasonal fluctuations, the receivables turnover ratio demonstrates a long-term improvement in the velocity of cash recovery from trade accounts.

Revenue Growth and Seasonality
Net operating revenues grew from 10,491 million US$ in April 2022 to 13,380 million US$ by October 2026. A consistent seasonal pattern is observed, with revenue peaks typically occurring in the second and third quarters of each year, reflecting cyclical demand. Despite these fluctuations, the baseline revenue level has shifted upward over the multi-year period.
Accounts Receivable Management
Trade accounts receivable exhibit a recurring cyclical pattern, frequently peaking in the first quarter of the calendar year. For instance, balances rose to 4,599 million US$ in March 2023 and 4,244 million US$ in March 2024. These peaks are generally followed by a contraction in receivable balances toward the end of the year, suggesting a period of intensive collection or shifts in credit terms during the fourth quarter.
Receivables Turnover Efficiency
The receivables turnover ratio increased from 8.65 in April 2022 to 14.30 in October 2026, signaling a significant enhancement in operating efficiency. The most pronounced peak occurred in December 2025, reaching 15.78. This trend indicates that the company is collecting its outstanding receivables more frequently and rapidly over time.
Correlation Between Balances and Turnover
An inverse relationship is evident between the size of trade accounts receivable and the turnover ratio. The lowest turnover rates consistently coincide with the quarterly peaks in receivable balances, particularly in March of each year. Conversely, the highest turnover rates are observed in December, coinciding with the lowest receivable balances, which suggests a systematic year-end acceleration in credit recovery.

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Working Capital Turnover

Coca-Cola Co., working capital turnover calculation (quarterly data)

Microsoft Excel
Oct 2, 2026 Jul 3, 2026 Apr 3, 2026 Dec 31, 2025 Sep 26, 2025 Jun 27, 2025 Mar 28, 2025 Dec 31, 2024 Sep 27, 2024 Jun 28, 2024 Mar 29, 2024 Dec 31, 2023 Sep 29, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jul 1, 2022 Apr 1, 2022
Selected Financial Data (US$ in millions)
Current assets 33,326 32,876 30,390 31,044 27,247 26,609 26,178 25,997 30,288 31,599 29,462 26,732 27,867 27,591 26,880 22,591 24,139 23,141 22,156
Less: Current liabilities 24,209 25,200 22,378 21,281 22,499 21,944 23,808 25,249 28,569 29,263 28,356 23,571 24,409 24,115 23,357 19,724 21,439 20,531 18,787
Working capital 9,117 7,676 8,012 9,763 4,748 4,665 2,370 748 1,719 2,336 1,106 3,161 3,458 3,476 3,523 2,867 2,700 2,610 3,369
 
Net operating revenues 13,380 13,380 12,472 11,822 12,455 12,535 11,129 11,544 11,854 12,363 11,300 10,849 11,953 11,972 10,980 10,125 11,063 11,325 10,491
Short-term Activity Ratio
Working capital turnover1 5.60 6.53 6.15 4.91 10.04 10.09 19.78 62.92 26.97 19.89 41.66 14.47 13.02 12.70 12.35 15.00 15.68 15.83 11.91
Benchmarks
Working Capital Turnover, Competitors2
Mondelēz International Inc. — — — — — — — — — — — — — — — — — — —
PepsiCo Inc. — — — — — — — — — — — — — — — — — — —
Philip Morris International Inc. 72.75 — — — — — — — — — — — — — — — — — —

Based on: 10-Q (reporting date: 2026-10-02), 10-Q (reporting date: 2026-07-03), 10-Q (reporting date: 2026-04-03), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-26), 10-Q (reporting date: 2025-06-27), 10-Q (reporting date: 2025-03-28), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-27), 10-Q (reporting date: 2024-06-28), 10-Q (reporting date: 2024-03-29), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-29), 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: 2022-07-01), 10-Q (reporting date: 2022-04-01).

1 Q3 2026 Calculation
Working capital turnover = (Net operating revenuesQ3 2026 + Net operating revenuesQ2 2026 + Net operating revenuesQ1 2026 + Net operating revenuesQ4 2025) ÷ Working capital
= (13,380 + 13,380 + 12,472 + 11,822) ÷ 9,117 = 5.60

2 Click competitor name to see calculations.


The operational activity analysis reveals a significant divergence between steady revenue growth and highly volatile working capital management over the observed period.

Net Operating Revenue Trends
Revenue exhibits a consistent long-term upward trajectory, rising from 10.49 billion USD in April 2022 to a peak of 13.38 billion USD by the end of 2026. This growth indicates a stable expansion of top-line performance, maintaining a general upward slope despite seasonal fluctuations.
Working Capital Volatility
Working capital experienced three distinct phases. From April 2022 through December 2023, levels remained relatively stable, fluctuating between 2.61 billion and 3.52 billion USD. A period of sharp contraction followed in 2024, where working capital reached a low of 748 million USD by December 31, 2024. This was followed by a rapid and substantial increase throughout 2025 and 2026, peaking at 9.76 billion USD in December 2025 and remaining above 7.6 billion USD through October 2026.
Working Capital Turnover Analysis
The turnover ratio demonstrates a strong inverse correlation with working capital levels. During the initial period of stability (2022-2023), the ratio fluctuated moderately between 11.91 and 15.83. The contraction of working capital in 2024 triggered an anomalous spike in efficiency ratios, reaching a maximum of 62.92 in December 2024. Following the surge in working capital during 2025 and 2026, the turnover ratio declined significantly, stabilizing in a lower range between 4.91 and 6.53. This transition suggests a strategic shift toward a more capital-intensive short-term asset structure or a significant accumulation of current assets relative to current liabilities in the latter part of the period.

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Average Inventory Processing Period

Coca-Cola Co., average inventory processing period calculation (quarterly data)

Microsoft Excel
Oct 2, 2026 Jul 3, 2026 Apr 3, 2026 Dec 31, 2025 Sep 26, 2025 Jun 27, 2025 Mar 28, 2025 Dec 31, 2024 Sep 27, 2024 Jun 28, 2024 Mar 29, 2024 Dec 31, 2023 Sep 29, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jul 1, 2022 Apr 1, 2022
Selected Financial Data
Inventory turnover 4.36 4.11 3.99 4.16 3.81 3.57 3.58 3.88 3.89 3.85 3.72 4.19 4.33 3.94 3.86 4.25 4.74 4.69 4.26
Short-term Activity Ratio (no. days)
Average inventory processing period1 84 89 92 88 96 102 102 94 94 95 98 87 84 93 95 86 77 78 86
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Mondelēz International Inc. 62 59 53 58 72 72 63 63 70 68 62 59 63 65 63 61 64 60 58
PepsiCo Inc. 52 55 52 50 52 57 50 46 49 51 48 46 48 52 51 47 47 50 46
Philip Morris International Inc. 271 302 306 313 283 299 281 259 255 260 279 305 278 291 330 316 237 259 306

Based on: 10-Q (reporting date: 2026-10-02), 10-Q (reporting date: 2026-07-03), 10-Q (reporting date: 2026-04-03), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-26), 10-Q (reporting date: 2025-06-27), 10-Q (reporting date: 2025-03-28), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-27), 10-Q (reporting date: 2024-06-28), 10-Q (reporting date: 2024-03-29), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-29), 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: 2022-07-01), 10-Q (reporting date: 2022-04-01).

1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 4.36 = 84

2 Click competitor name to see calculations.


The analysis of short-term operating activity indicates a fluctuating cycle of inventory efficiency between April 2022 and October 2026. The data reveals an inverse correlation between the inventory turnover ratio and the average inventory processing period, with efficiency peaking in late 2022, declining through early 2025, and recovering toward the end of the observed period.

Initial Efficiency Gains (April 2022 – September 2022)
A period of increased operational efficiency is observed during the first half of 2022. The average inventory processing period decreased from 86 days in April to a low of 77 days by September, while the inventory turnover ratio rose from 4.26 to its peak of 4.74.
Expansion of Processing Cycle (March 2023 – March 2025)
A notable trend of declining inventory velocity emerged starting in early 2023. The processing period climbed steadily, reaching 95 days in March 2023 and peaking at 102 days between March 2024 and March 2025. Concurrently, the turnover ratio dropped significantly, reaching a minimum of 3.57 in June 2025, indicating a slower conversion of inventory into sales.
Operational Recovery (June 2025 – October 2026)
The final phase of the data shows a consistent recovery in inventory management. The average processing period declined from 102 days in June 2025 to 84 days by October 2026. This improvement is mirrored by a steady increase in the turnover ratio, which climbed from 3.57 to 4.36, suggesting a return to historical efficiency levels.

Overall, the inventory processing period exhibited a cyclical pattern, expanding by approximately 32% from its lowest point (77 days) to its highest point (102 days) before contracting again. The return to a processing period of 84 days by October 2026 indicates a stabilization of the supply chain and inventory turnover rates.

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Average Receivable Collection Period

Coca-Cola Co., average receivable collection period calculation (quarterly data)

Microsoft Excel
Oct 2, 2026 Jul 3, 2026 Apr 3, 2026 Dec 31, 2025 Sep 26, 2025 Jun 27, 2025 Mar 28, 2025 Dec 31, 2024 Sep 27, 2024 Jun 28, 2024 Mar 29, 2024 Dec 31, 2023 Sep 29, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jul 1, 2022 Apr 1, 2022
Selected Financial Data
Receivables turnover 14.30 13.43 13.41 15.78 12.08 11.29 11.46 13.19 10.95 10.22 10.86 13.42 12.88 11.12 9.46 12.33 10.60 9.19 8.65
Short-term Activity Ratio (no. days)
Average receivable collection period1 26 27 27 23 30 32 32 28 33 36 34 27 28 33 39 30 34 40 42
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Mondelēz International Inc. 45 37 41 37 41 35 43 39 38 32 40 37 36 31 39 36 34 30 37
PepsiCo Inc. 51 51 47 45 50 49 43 41 48 47 43 43 47 46 43 43 47 47 43
Philip Morris International Inc. 44 44 45 41 44 47 46 37 42 42 43 36 41 45 41 44 44 44 42

Based on: 10-Q (reporting date: 2026-10-02), 10-Q (reporting date: 2026-07-03), 10-Q (reporting date: 2026-04-03), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-26), 10-Q (reporting date: 2025-06-27), 10-Q (reporting date: 2025-03-28), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-27), 10-Q (reporting date: 2024-06-28), 10-Q (reporting date: 2024-03-29), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-29), 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: 2022-07-01), 10-Q (reporting date: 2022-04-01).

1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 14.30 = 26

2 Click competitor name to see calculations.


The analysis of short-term operating activity indicates a sustained improvement in the efficiency of receivable collections over the period from April 2022 to October 2026. There is a clear inverse correlation between the receivables turnover ratio and the average collection period, both of which exhibit distinct seasonal fluctuations.

Receivables Turnover Performance
The receivables turnover ratio demonstrates a general upward trajectory, increasing from 8.65 in April 2022 to 14.30 by October 2026. Significant peaks are observed consistently at the end of the calendar year, with the highest efficiency reaching 15.78 in December 2025. This trend indicates a heightened velocity in converting accounts receivable into cash over the long term.
Average Receivable Collection Period Analysis
The average collection period has contracted from 42 days in April 2022 to 26 days by October 2026. A notable minimum of 23 days was recorded in December 2025, marking the point of maximum collection efficiency within the observed timeframe. While intermittent increases occur—specifically during the first quarters of 2023 and 2024—the overarching trend shows a consistent reduction in the number of days required to collect outstanding payments.
Seasonal Patterns and Cyclicality
A recurring seasonal pattern is evident, characterized by a lengthening of the collection period and a corresponding dip in the turnover ratio during the first quarter of each year. For instance, the collection period rose to 39 days in March 2023 and 34 days in March 2024. These metrics typically recover and improve throughout the year, peaking in efficiency every December. This suggests that the company's credit management and collection cycles are subject to predictable annual variability.

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Operating Cycle

Coca-Cola Co., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Oct 2, 2026 Jul 3, 2026 Apr 3, 2026 Dec 31, 2025 Sep 26, 2025 Jun 27, 2025 Mar 28, 2025 Dec 31, 2024 Sep 27, 2024 Jun 28, 2024 Mar 29, 2024 Dec 31, 2023 Sep 29, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jul 1, 2022 Apr 1, 2022
Selected Financial Data
Average inventory processing period 84 89 92 88 96 102 102 94 94 95 98 87 84 93 95 86 77 78 86
Average receivable collection period 26 27 27 23 30 32 32 28 33 36 34 27 28 33 39 30 34 40 42
Short-term Activity Ratio
Operating cycle1 110 116 119 111 126 134 134 122 127 131 132 114 112 126 134 116 111 118 128
Benchmarks
Operating Cycle, Competitors2
Mondelēz International Inc. 107 96 94 95 113 107 106 102 108 100 102 96 99 96 102 97 98 90 95
PepsiCo Inc. 103 106 99 95 102 106 93 87 97 98 91 89 95 98 94 90 94 97 89
Philip Morris International Inc. 315 346 351 354 327 346 327 296 297 302 322 341 319 336 371 360 281 303 348

Based on: 10-Q (reporting date: 2026-10-02), 10-Q (reporting date: 2026-07-03), 10-Q (reporting date: 2026-04-03), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-26), 10-Q (reporting date: 2025-06-27), 10-Q (reporting date: 2025-03-28), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-27), 10-Q (reporting date: 2024-06-28), 10-Q (reporting date: 2024-03-29), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-29), 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: 2022-07-01), 10-Q (reporting date: 2022-04-01).

1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 84 + 26 = 110

2 Click competitor name to see calculations.


The operating cycle demonstrates periodic volatility characterized by a gradual increase in duration through the first half of the observed period, followed by a notable contraction toward the end of 2026. This cycle is primarily influenced by fluctuations in inventory management, while receivables collection shows a consistent trend toward improved efficiency.

Average Inventory Processing Period
A cyclical pattern is observed, with the period beginning at 86 days and reaching a peak of 102 days in the first half of 2025. A subsequent downward trend is evident from June 2025 through October 2026, where the period concludes at 84 days. The expansion of this metric between 2023 and early 2025 suggests a period of slower inventory turnover or strategic stockpiling, which was later reversed.
Average Receivable Collection Period
A general downward trajectory is evident in the collection of receivables. Starting at a high of 42 days in April 2022, the period experienced several contractions, reaching a minimum of 23 days by December 2025. Despite minor quarterly fluctuations, the collection period remained consistently lower in the 2024-2026 window than in 2022, indicating enhanced credit management and faster conversion of receivables into cash.
Operating Cycle
The total operating cycle reflects the combined impact of inventory and receivable timelines, starting at 128 days and peaking at 134 days on two separate occasions (March 2023 and the first half of 2025). The final reading of 110 days in October 2026 represents a significant improvement in short-term operational efficiency. The compression of the cycle is driven by the simultaneous reduction in inventory processing days and the optimization of the receivable collection timeframe.

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