Stock Analysis on Net

Cisco Systems Inc. (NASDAQ:CSCO)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Cisco Systems Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Turnover Ratios
Inventory turnover 4.60 5.30 5.97 6.28 6.83 6.45 5.91 5.63 6.28 6.38 6.30 5.83 6.01 6.45 7.41 7.52 8.52 9.19 10.06 11.50 11.15 11.98 13.25
Receivables turnover 9.37 8.94 11.95 8.45 10.54 9.56 11.89 8.05 10.80 11.72 12.01 9.74 10.76 10.15 9.61 7.79 8.92 8.59 9.57 8.64 11.04 11.15 12.08
Payables turnover 7.30 7.52 8.39 7.86 8.55 9.93 9.31 8.24 9.53 11.08 10.11 9.19 8.55 8.69 8.53 8.47 8.31 9.00 8.15 7.59 7.22 9.22 7.53
Working capital turnover 5.08 4.60 4.73 4.89 4.72 4.65 4.65 4.36 4.74 3.54 3.88 3.82 2.89 3.00
Average No. Days
Average inventory processing period 79 69 61 58 53 57 62 65 58 57 58 63 61 57 49 49 43 40 36 32 33 30 28
Add: Average receivable collection period 39 41 31 43 35 38 31 45 34 31 30 37 34 36 38 47 41 43 38 42 33 33 30
Operating cycle 118 110 92 101 88 95 93 110 92 88 88 100 95 93 87 96 84 83 74 74 66 63 58
Less: Average payables payment period 50 49 44 46 43 37 39 44 38 33 36 40 43 42 43 43 44 41 45 48 51 40 48
Cash conversion cycle 68 61 48 55 45 58 54 66 54 55 52 60 52 51 44 53 40 42 29 26 15 23 10

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).


A comprehensive analysis of the operational activity ratios reveals a significant decline in short-term efficiency over the analyzed period. There is a pronounced trend toward slower asset turnover and an elongation of the time required to convert investments in inventory and receivables back into cash.

Inventory Management Efficiency
A persistent downward trend in inventory turnover is observed, falling from a peak of 13.25 in October 2020 to 4.60 by April 2026. This deceleration is mirrored in the average inventory processing period, which expanded from 28 days to 79 days. This suggests a substantial increase in the duration that goods remain in stock before being sold, indicating potential overstocking or a slowdown in market demand.
Receivables and Payables Dynamics
Receivables turnover exhibits considerable volatility, fluctuating between a high of 12.08 and a low of 8.05. The average receivable collection period has generally trended upward, increasing from 30 days to 39 days, with intermittent peaks as high as 45 days. Simultaneously, the payables turnover has remained relatively stable, though it showed a slight decline toward the end of the period. The average payables payment period has fluctuated between 33 and 51 days, ending at 50 days, suggesting the entity has moderately extended its payment terms to suppliers.
Operating and Cash Conversion Cycles
The operating cycle has elongated significantly, rising from 58 days in October 2020 to 118 days by April 2026. This increase is primarily driven by the deterioration in inventory processing times. Consequently, the cash conversion cycle (CCC) has expanded from 10 days to 68 days. While the company has extended its payment period to suppliers, this has been insufficient to offset the combined delays in inventory movement and receivable collections.
Working Capital Utilization
Working capital turnover showed a gradual improvement from 3.00 in late 2020 to 5.08 by January 2024. This indicates that, despite the slowing of individual component cycles, the company increased the volume of revenue generated relative to its net working capital investment during that specific window.

In summary, the operational data indicates a systemic slowdown in the movement of short-term assets. The dramatic increase in the cash conversion cycle suggests that a larger portion of liquidity is tied up in the operating process, representing a decrease in overall operational liquidity and efficiency.

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Turnover Ratios


Average No. Days



Inventory Turnover

Cisco Systems Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data (US$ in millions)
Cost of sales 5,761 5,377 5,138 5,393 4,871 4,880 4,720 4,861 4,429 4,574 5,111 5,455 5,339 5,165 5,286 5,077 4,714 4,671 4,847 4,782 4,618 4,176 4,348
Inventories 4,708 3,920 3,395 3,164 2,832 2,927 3,143 3,373 3,118 3,209 3,342 3,644 3,474 3,140 2,664 2,568 2,231 2,059 1,832 1,559 1,579 1,436 1,303
Short-term Activity Ratio
Inventory turnover1 4.60 5.30 5.97 6.28 6.83 6.45 5.91 5.63 6.28 6.38 6.30 5.83 6.01 6.45 7.41 7.52 8.52 9.19 10.06 11.50 11.15 11.98 13.25
Benchmarks
Inventory Turnover, Competitors2
Apple Inc. 34.89 39.06 38.64 36.77 34.08 30.63 28.87 33.80 33.32 32.57 33.82 29.54 29.24 32.36 45.20 40.43 40.07 36.69 32.37 39.55 37.48 36.21
Arista Networks Inc. 1.49 1.44 1.40 1.38 1.36 1.37 1.33 1.23 1.11 1.15 1.16 1.12 1.15 1.32 1.36 1.53 1.65
Dell Technologies Inc. 11.86 11.10 10.16 11.07 10.98 11.95 14.44 18.65 20.66 20.02 18.72 16.67 13.40 14.38 13.11 13.45 13.76 16.63 17.53
Lumentum Holdings Inc. 2.33 2.32 2.26 2.35 2.45 2.58 2.57 2.57 2.50 2.16 2.46 2.73 2.62 2.82 2.58 3.44 3.79 4.11 4.19 4.57 4.28 4.42 4.41
Super Micro Computer Inc. 2.78 2.44 3.30 4.18 4.94 5.07 3.31 2.98 2.41 3.14 2.97 4.04 3.49 3.84 2.88 2.84 2.50 2.58 2.77 2.90 3.18 3.39 3.59

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Inventory turnover = (Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026 + Cost of salesQ4 2025) ÷ Inventories
= (5,761 + 5,377 + 5,138 + 5,393) ÷ 4,708 = 4.60

2 Click competitor name to see calculations.


A significant long-term decline in inventory efficiency is evident across the analyzed period. The inventory turnover ratio shifted from a high of 13.25 in October 2020 to a period low of 4.60 by April 2026, indicating a substantial slowdown in the rate at which inventory is sold and replaced.

Inventory Accumulation Trends
Inventories grew aggressively from 1,303 million US$ in October 2020 to 4,708 million US$ in April 2026. This represents a nearly 261% increase in stock levels. The most rapid expansion occurred between January 2022 and July 2023, where inventories more than doubled from 2,059 million US$ to 3,644 million US$.
Cost of Sales Correlation
While the cost of sales generally trended upward, increasing from 4,348 million US$ to 5,761 million US$, the growth rate of sales costs did not keep pace with the growth of inventory. The divergence between the relatively stable cost of sales and the surging inventory levels is the primary driver of the deteriorating turnover ratio.
Turnover Ratio Phases
The turnover ratio can be categorized into three distinct phases: a period of rapid decline from October 2020 to January 2023 (falling from 13.25 to 6.01), a period of relative stabilization between April 2023 and October 2024 (fluctuating between 5.63 and 6.83), and a final accelerating decline from January 2025 to April 2026 (dropping from 6.45 to 4.60).
Operational Implications
The consistent downward trend in the turnover ratio suggests a growing mismatch between production or procurement and actual market demand. The sharp drop to 4.60 in the final quarter indicates an increasing amount of capital tied up in non-liquid assets, which may signal overstocking or a decrease in product velocity.

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Receivables Turnover

Cisco Systems Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data (US$ in millions)
Revenue 15,841 15,349 14,883 14,673 14,149 13,991 13,841 13,642 12,702 12,791 14,668 15,203 14,571 13,592 13,632 13,102 12,835 12,720 12,900 13,126 12,803 11,960 11,929
Accounts receivable, net of allowance 6,480 6,606 4,827 6,701 5,277 5,669 4,457 6,685 5,127 4,884 4,833 5,854 5,104 5,237 5,439 6,622 5,783 6,003 5,306 5,766 4,425 4,307 3,980
Short-term Activity Ratio
Receivables turnover1 9.37 8.94 11.95 8.45 10.54 9.56 11.89 8.05 10.80 11.72 12.01 9.74 10.76 10.15 9.61 7.79 8.92 8.59 9.57 8.64 11.04 11.15 12.08
Benchmarks
Receivables Turnover, Competitors2
Apple Inc. 14.88 10.91 10.46 14.83 15.32 13.35 11.70 16.92 17.48 16.63 12.99 19.64 21.47 16.32 13.99 17.77 18.55 12.52 13.92 19.87 17.59 10.85
Arista Networks Inc. 5.05 4.77 5.67 4.90 5.18 6.14 5.85 5.14 5.58 5.72 6.71 6.75 5.63 4.75 6.03 5.98 4.87
Dell Technologies Inc. 8.88 6.75 9.88 9.28 8.40 8.06 10.48 9.46 9.38 9.04 10.33 8.20 9.21 7.96 8.85 7.84 7.01 7.46 8.70
Lumentum Holdings Inc. 5.63 5.59 6.00 6.58 5.76 6.23 6.94 6.98 6.19 5.79 7.17 7.18 6.54 5.54 5.20 6.54 6.95 7.14 6.61 8.19 7.65 6.15 6.38
Super Micro Computer Inc. 4.01 2.55 8.34 9.97 8.16 6.80 6.88 5.48 7.16 6.16 8.74 6.20 9.78 8.65 8.17 6.23 6.81 8.38 8.36 7.67 8.31 10.10 10.23

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Receivables turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Accounts receivable, net of allowance
= (15,841 + 15,349 + 14,883 + 14,673) ÷ 6,480 = 9.37

2 Click competitor name to see calculations.


The analysis of receivables turnover from October 2020 through April 2026 reveals a pattern of cyclical volatility characterized by alternating periods of high collection efficiency and significant slowdowns. While overall revenue demonstrated a long-term upward trajectory, growing from 11.9 billion USD to 15.8 billion USD, the efficiency of converting receivables into cash did not follow a linear path, indicating fluctuating credit management effectiveness or seasonal payment patterns.

Trend Analysis of Receivables Turnover
The ratio began at a peak of 12.08 in October 2020 before entering a period of decline that reached a trough of 7.79 by July 2022. A strong recovery phase followed, with the ratio climbing back to 12.01 by October 2023. The subsequent period from January 2024 to April 2026 is marked by sharp quarterly swings, with lows near 8.05 (July 2024) and 8.45 (July 2025), and peaks reaching as high as 11.95 (October 2025).
Relationship Between Revenue and Accounts Receivable
A distinct inverse correlation is observed between the net accounts receivable balance and the turnover ratio. Periods of decreased efficiency coincide with spikes in the receivables balance. For instance, the lows in turnover recorded in July 2021 (8.64), July 2022 (7.79), July 2024 (8.05), and July 2025 (8.45) correspond precisely with peaks in the accounts receivable balance. This suggests a recurring quarterly or annual buildup of receivables that delays cash conversion.
Operational Efficiency Insights
The recurring nature of the turnover drops every July suggests a systemic seasonal trend in the company's billing or collection cycle. Despite these periodic dips, the company demonstrated an ability to rapidly accelerate collections in the following quarters, often returning the turnover ratio to levels above 11.00. The final observation in April 2026 shows a turnover ratio of 9.37, indicating a moderate level of efficiency relative to the historical range.
Revenue Scaling Impact
Revenue growth has remained steady, but the receivables balance has expanded from approximately 3.98 billion USD in 2020 to 6.48 billion USD by April 2026. The fact that the turnover ratio frequently returns to its 2020 levels despite the significantly higher revenue and receivable base suggests that the company has managed to scale its collection processes in line with its growth, despite the inherent volatility.

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Payables Turnover

Cisco Systems Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data (US$ in millions)
Cost of sales 5,761 5,377 5,138 5,393 4,871 4,880 4,720 4,861 4,429 4,574 5,111 5,455 5,339 5,165 5,286 5,077 4,714 4,671 4,847 4,782 4,618 4,176 4,348
Accounts payable 2,970 2,762 2,418 2,528 2,260 1,902 1,996 2,304 2,054 1,848 2,084 2,313 2,442 2,329 2,316 2,281 2,289 2,101 2,261 2,362 2,440 1,867 2,294
Short-term Activity Ratio
Payables turnover1 7.30 7.52 8.39 7.86 8.55 9.93 9.31 8.24 9.53 11.08 10.11 9.19 8.55 8.69 8.53 8.47 8.31 9.00 8.15 7.59 7.22 9.22 7.53
Benchmarks
Payables Turnover, Competitors2
Apple Inc. 4.10 3.25 3.16 4.33 3.95 3.42 3.05 4.38 4.54 3.65 3.42 4.65 5.10 3.81 3.49 4.54 4.15 2.90 3.89 5.07 4.88 2.82
Arista Networks Inc. 5.82 4.97 6.26 5.23 6.86 6.59 8.14 7.63 10.09 5.13 8.16 5.95 5.84 7.33 5.39 4.74 5.61
Dell Technologies Inc. 3.46 2.91 2.97 3.57 3.12 2.95 3.35 3.48 3.59 3.59 4.22 4.28 3.67 3.34 3.22 2.92 2.80 3.05 3.11
Lumentum Holdings Inc. 3.75 3.81 4.30 4.90 5.31 5.62 6.36 8.11 7.89 6.26 7.83 6.57 5.41 5.03 4.59 5.50 6.70 7.24 8.53 7.68 8.62 8.22 6.42
Super Micro Computer Inc. 8.37 1.88 14.79 15.24 29.76 33.19 9.70 8.78 9.09 6.13 5.63 7.52 8.38 9.76 6.38 6.71 5.09 5.18 5.82 4.94 6.18 6.91 8.33

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Payables turnover = (Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026 + Cost of salesQ4 2025) ÷ Accounts payable
= (5,761 + 5,377 + 5,138 + 5,393) ÷ 2,970 = 7.30

2 Click competitor name to see calculations.


The payables turnover ratio exhibited significant volatility over the analyzed period, characterized by an initial phase of relative stability, a sharp increase peaking in early 2024, and a subsequent steady decline through early 2026.

Turnover Acceleration and Peak
Between January 2023 and January 2024, a consistent upward trend in the payables turnover ratio was observed, rising from 8.69 to a peak of 11.08. This peak coincided with a period where accounts payable reached a local minimum of 1.848 billion US dollars. This suggests a period of accelerated payments to suppliers or a strategic reduction in the utilization of supplier credit relative to the cost of sales.
Trend Reversal and Recent Deceleration
Following the peak in January 2024, the ratio entered a general downward trajectory, ending at 7.30 by April 2026. This decline is closely linked to a substantial increase in accounts payable, which rose from 2.054 billion US dollars in April 2024 to 2.970 billion US dollars by April 2026. The decrease in the turnover ratio indicates a lengthening of the average payment period, reflecting an increased reliance on trade credit to finance short-term operations.
Cost of Sales Correlation
The cost of sales showed fluctuations but experienced a notable increase in the final year of the period, growing from 4.720 billion US dollars in October 2024 to 5.761 billion US dollars in April 2026. While expenses increased, the growth in accounts payable outpaced the growth in cost of sales during the final quarters, which drove the turnover ratio to its lowest levels since early 2021.

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Working Capital Turnover

Cisco Systems Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data (US$ in millions)
Current assets 36,559 35,131 32,876 34,986 32,816 34,681 35,752 36,862 35,886 42,127 39,659 43,348 39,950 38,515 36,141 36,717 35,981 36,799 37,588 39,112 37,060 43,911 42,989
Less: Current liabilities 39,541 36,786 35,451 35,064 34,495 40,019 40,542 40,584 40,108 30,851 27,035 31,309 28,719 27,252 24,896 25,640 24,150 25,915 23,238 26,257 24,262 27,268 26,991
Working capital (2,982) (1,655) (2,575) (78) (1,679) (5,338) (4,790) (3,722) (4,222) 11,276 12,624 12,039 11,231 11,263 11,245 11,077 11,831 10,884 14,350 12,855 12,798 16,643 15,998
 
Revenue 15,841 15,349 14,883 14,673 14,149 13,991 13,841 13,642 12,702 12,791 14,668 15,203 14,571 13,592 13,632 13,102 12,835 12,720 12,900 13,126 12,803 11,960 11,929
Short-term Activity Ratio
Working capital turnover1 5.08 4.60 4.73 4.89 4.72 4.65 4.65 4.36 4.74 3.54 3.88 3.82 2.89 3.00
Benchmarks
Working Capital Turnover, Competitors2
Apple Inc. 47.66 83.07 39.69 67.80 39.10 52.06 21.58 13.62
Arista Networks Inc. 0.81 0.82 0.80 0.84 0.81 0.76 0.78 0.82 0.85 0.90 0.96 1.01 1.04 1.03 1.04 1.01 0.85
Dell Technologies Inc.
Lumentum Holdings Inc. 4.69 3.29 1.24 1.12 1.08 1.04 1.03 1.07 1.02 0.75 0.82 1.07 1.09 1.08 0.71 0.69 0.91 0.96 0.98 0.91 1.05 0.90
Super Micro Computer Inc. 2.51 2.62 2.04 2.21 2.67 2.85 2.69 2.28 1.86 3.25 3.76 3.95 4.05 3.84 3.94 3.89 3.91 3.81 4.09 3.96 3.95 3.74 3.71

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Working capital turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Working capital
= (15,841 + 15,349 + 14,883 + 14,673) ÷ -2,982 =

2 Click competitor name to see calculations.


An analysis of the short-term operating activity reveals a significant structural shift in the management of current assets and liabilities over the observed period. While revenue demonstrated a consistent upward trajectory, working capital underwent a complete reversal, moving from a substantial positive position to a sustained negative balance.

Revenue Trends
Revenue exhibited steady growth, increasing from 11,929 million USD in October 2020 to 15,841 million USD by April 2026. This growth pattern remained relatively stable, with a notable acceleration in the later periods, reflecting a sustained increase in the scale of operations.
Working Capital Dynamics
From October 2020 through January 2024, working capital remained positive, fluctuating between 10,884 million USD and 16,643 million USD. However, a sharp inflection point occurred in April 2024, where working capital dropped to -4,222 million USD. For the remainder of the period, the balance remained negative, reaching a trough of -5,338 million USD in January 2025 before fluctuating between -78 million USD and -2,982 million USD through April 2026.
Working Capital Turnover Performance
During the period of positive working capital (October 2020 to January 2024), the turnover ratio showed a general upward trend, rising from 3.00 to 5.08. This increase indicates an improvement in the efficiency with which current assets were utilized to generate revenue. Following the transition to negative working capital in April 2024, the turnover ratio is no longer applicable or reported, as the traditional calculation is not meaningful when current liabilities exceed current assets.

The transition to negative working capital, coupled with rising revenues, suggests a shift toward a more aggressive liquidity strategy. This pattern often indicates that the organization is utilizing spontaneous financing—such as accounts payable—to fund its operational growth, thereby reducing the amount of capital tied up in the operating cycle.

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Average Inventory Processing Period

Cisco Systems Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data
Inventory turnover 4.60 5.30 5.97 6.28 6.83 6.45 5.91 5.63 6.28 6.38 6.30 5.83 6.01 6.45 7.41 7.52 8.52 9.19 10.06 11.50 11.15 11.98 13.25
Short-term Activity Ratio (no. days)
Average inventory processing period1 79 69 61 58 53 57 62 65 58 57 58 63 61 57 49 49 43 40 36 32 33 30 28
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Apple Inc. 10 9 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Arista Networks Inc. 245 253 261 264 268 267 274 298 328 318 315 325 318 276 268 239 221
Dell Technologies Inc. 31 33 36 33 33 31 25 20 18 18 19 22 27 25 28 27 27 22 21
Lumentum Holdings Inc. 157 157 162 156 149 142 142 142 146 169 148 134 139 129 142 106 96 89 87 80 85 83 83
Super Micro Computer Inc. 131 150 110 87 74 72 110 122 152 116 123 90 105 95 127 128 146 141 132 126 115 108 102

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 4.60 = 79

2 Click competitor name to see calculations.


The analyzed period is characterized by a sustained decline in inventory efficiency, evidenced by a simultaneous decrease in turnover ratios and a substantial increase in the average inventory processing period.

Inventory Turnover Trends
A consistent downward trajectory in the inventory turnover ratio is observed, beginning at 13.25 in October 2020 and concluding at 4.60 by April 2026. While there were brief periods of relative stabilization between January 2023 and January 2025, where the ratio fluctuated between 5.63 and 6.83, the long-term trend indicates a significant reduction in the frequency with which inventory is cycled.
Average Inventory Processing Period Analysis
The duration required to process inventory has expanded significantly, rising from 28 days in October 2020 to 79 days by April 2026. This expansion occurred in three distinct phases: a steady climb from 28 to 49 days between October 2020 and October 2022, a period of volatility and plateauing between 53 and 65 days through 2023 and 2024, and a final sharp acceleration from 61 to 79 days between July 2025 and April 2026.
Operational Correlation
An inverse correlation is maintained between the turnover ratio and the processing period throughout the entire timeline. The increase in the processing period to 79 days suggests a marked slowdown in inventory movement, indicating that goods are remaining in stock for nearly three times longer at the end of the period than at the beginning.

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Average Receivable Collection Period

Cisco Systems Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data
Receivables turnover 9.37 8.94 11.95 8.45 10.54 9.56 11.89 8.05 10.80 11.72 12.01 9.74 10.76 10.15 9.61 7.79 8.92 8.59 9.57 8.64 11.04 11.15 12.08
Short-term Activity Ratio (no. days)
Average receivable collection period1 39 41 31 43 35 38 31 45 34 31 30 37 34 36 38 47 41 43 38 42 33 33 30
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Apple Inc. 25 33 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Arista Networks Inc. 72 76 64 75 70 59 62 71 65 64 54 54 65 77 61 61 75
Dell Technologies Inc. 41 54 37 39 43 45 35 39 39 40 35 45 40 46 41 47 52 49 42
Lumentum Holdings Inc. 65 65 61 55 63 59 53 52 59 63 51 51 56 66 70 56 53 51 55 45 48 59 57
Super Micro Computer Inc. 91 143 44 37 45 54 53 67 51 59 42 59 37 42 45 59 54 44 44 48 44 36 36

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 9.37 = 39

2 Click competitor name to see calculations.


Analysis of short-term operating activity reveals a fluctuating pattern in the efficiency of accounts receivable management. The average receivable collection period exhibits cyclical variance, alternating between periods of high efficiency and temporary extensions in the time required to convert receivables into cash.

Average Receivable Collection Period Trends
The collection period oscillates between a minimum of 30 days and a peak of 47 days. A recurring pattern of diminished collection efficiency is observed during the July quarters, with notable peaks in July 2021 (42 days), July 2022 (47 days), July 2024 (45 days), and July 2025 (43 days). In contrast, the most efficient collection cycles consistently occur during the October quarters, where the period frequently returns to a range of 30 to 31 days.
Receivables Turnover Dynamics
The receivables turnover ratio demonstrates a strict inverse relationship with the collection period. Peak turnover ratios, reaching 12.08 in October 2020, 12.01 in October 2023, and 11.95 in October 2025, coincide with the shortest collection windows. The lowest turnover ratios, such as 7.79 in July 2022 and 8.05 in July 2024, align with the most extended collection durations.
Operational Stability and Variance
Despite the quarterly volatility, the metrics operate within a consistent corridor over the multi-year period. The absence of a sustained linear increase or decrease in the collection period suggests that the company maintains a stable credit policy, though the results are subject to significant seasonal or quarterly fluctuations.

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Operating Cycle

Cisco Systems Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data
Average inventory processing period 79 69 61 58 53 57 62 65 58 57 58 63 61 57 49 49 43 40 36 32 33 30 28
Average receivable collection period 39 41 31 43 35 38 31 45 34 31 30 37 34 36 38 47 41 43 38 42 33 33 30
Short-term Activity Ratio
Operating cycle1 118 110 92 101 88 95 93 110 92 88 88 100 95 93 87 96 84 83 74 74 66 63 58
Benchmarks
Operating Cycle, Competitors2
Apple Inc. 35 42 44 35 35 39 44 33 32 33 39 31 29 33 34 30 29 39 37 27 31 44
Arista Networks Inc. 317 329 325 339 338 326 336 369 393 382 369 379 383 353 329 300 296
Dell Technologies Inc. 72 87 73 72 76 76 60 59 57 58 54 67 67 71 69 74 79 71 63
Lumentum Holdings Inc. 222 222 223 211 212 201 195 194 205 232 199 185 195 195 212 162 149 140 142 125 133 142 140
Super Micro Computer Inc. 222 293 154 124 119 126 163 189 203 175 165 149 142 137 172 187 200 185 176 174 159 144 138

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 79 + 39 = 118

2 Click competitor name to see calculations.


An analysis of the operating cycle reveals a significant long-term expansion in the time required to convert current assets into cash. The total operating cycle has more than doubled over the observed period, increasing from 58 days in October 2020 to 118 days by April 2026. This expansion is primarily driven by a sustained increase in inventory holding times, while receivable collection periods have exhibited higher volatility but less overall growth.

Average Inventory Processing Period
A consistent upward trend is observed in the time required to process inventory. Starting at 28 days in October 2020, the period rose steadily to a peak of 63 days by July 2023. Despite a period of relative stabilization between January 2024 and October 2024, where values fluctuated between 57 and 65 days, a sharp increase occurred toward the end of the period, culminating in a peak of 79 days in April 2026. This indicates a progressive slowing of inventory turnover.
Average Receivable Collection Period
The collection of receivables demonstrates a pattern of cyclical fluctuation rather than a linear trend. The period ranged from a low of 30 days to a high of 47 days. Notable volatility is seen between July 2022 and April 2024, with a sharp decline to 30 days in October 2023 followed by a spike to 45 days in April 2024. By April 2026, the collection period settled at 39 days, reflecting a relatively stable efficiency in credit recovery compared to the inventory processing trend.
Operating Cycle Dynamics
The total operating cycle has experienced three distinct phases of expansion. The first phase saw a rise from 58 to 100 days between October 2020 and July 2023. A second phase occurred between October 2023 and July 2024, where the cycle peaked at 110 days. The final phase indicates a further escalation to 118 days by April 2026. The correlation between the operating cycle and the inventory processing period is strong, suggesting that the deterioration in the overall cycle is almost exclusively tied to slower inventory movement rather than delays in customer payments.

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Average Payables Payment Period

Cisco Systems Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data
Payables turnover 7.30 7.52 8.39 7.86 8.55 9.93 9.31 8.24 9.53 11.08 10.11 9.19 8.55 8.69 8.53 8.47 8.31 9.00 8.15 7.59 7.22 9.22 7.53
Short-term Activity Ratio (no. days)
Average payables payment period1 50 49 44 46 43 37 39 44 38 33 36 40 43 42 43 43 44 41 45 48 51 40 48
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Apple Inc. 89 112 115 84 92 107 120 83 80 100 107 79 72 96 105 80 88 126 94 72 75 129
Arista Networks Inc. 63 73 58 70 53 55 45 48 36 71 45 61 62 50 68 77 65
Dell Technologies Inc. 105 125 123 102 117 124 109 105 102 102 86 85 99 109 113 125 130 120 117
Lumentum Holdings Inc. 97 96 85 75 69 65 57 45 46 58 47 56 67 72 80 66 54 50 43 48 42 44 57
Super Micro Computer Inc. 44 195 25 24 12 11 38 42 40 60 65 49 44 37 57 54 72 70 63 74 59 53 44

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 7.30 = 50

2 Click competitor name to see calculations.


The analysis of the short-term operating activity ratios reveals a cyclical pattern in the management of supplier obligations. The average payables payment period and the payables turnover ratio demonstrate an inverse correlation, reflecting shifts in the timing of cash outflows for the company's liabilities.

Payment Cycle Compression (2022-2024)
A significant downward trend in the average payables payment period is observed between October 2022 and January 2024. During this interval, the period declined from 43 days to a minimum of 33 days. This compression is mirrored by an increase in the payables turnover ratio, which peaked at 11.08 in January 2024, indicating a period of accelerated payments to suppliers and higher efficiency in clearing short-term obligations.
Payment Cycle Expansion (2024-2026)
Following the low point in early 2024, a steady increase in the average payables payment period occurs through April 2026. The duration rose from 33 days to 50 days by the end of the observed period. This expansion corresponds with a decline in the payables turnover ratio, which dropped from its peak to 7.30, suggesting a strategic shift toward extending payment terms to conserve cash flow.
Overall Stability and Volatility
From October 2020 to October 2022, the payment period remained relatively stable, fluctuating within a range of 40 to 51 days. The subsequent volatility between 2023 and 2026 highlights a transition from an aggressive payment strategy to a more conservative approach in managing working capital.

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Cash Conversion Cycle

Cisco Systems Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Apr 25, 2026 Jan 24, 2026 Oct 25, 2025 Jul 26, 2025 Apr 26, 2025 Jan 25, 2025 Oct 26, 2024 Jul 27, 2024 Apr 27, 2024 Jan 27, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 23, 2021 Oct 24, 2020
Selected Financial Data
Average inventory processing period 79 69 61 58 53 57 62 65 58 57 58 63 61 57 49 49 43 40 36 32 33 30 28
Average receivable collection period 39 41 31 43 35 38 31 45 34 31 30 37 34 36 38 47 41 43 38 42 33 33 30
Average payables payment period 50 49 44 46 43 37 39 44 38 33 36 40 43 42 43 43 44 41 45 48 51 40 48
Short-term Activity Ratio
Cash conversion cycle1 68 61 48 55 45 58 54 66 54 55 52 60 52 51 44 53 40 42 29 26 15 23 10
Benchmarks
Cash Conversion Cycle, Competitors2
Apple Inc. -54 -70 -71 -49 -57 -68 -76 -50 -48 -67 -68 -48 -43 -63 -71 -50 -59 -87 -57 -45 -44 -85
Arista Networks Inc. 254 256 267 269 285 271 291 321 357 311 324 318 321 303 261 223 231
Dell Technologies Inc. -33 -38 -50 -30 -41 -48 -49 -46 -45 -44 -32 -18 -32 -38 -44 -51 -51 -49 -54
Lumentum Holdings Inc. 125 126 138 136 143 136 138 149 159 174 152 129 128 123 132 96 95 90 99 77 91 98 83
Super Micro Computer Inc. 178 98 129 100 107 115 125 147 163 115 100 100 98 100 115 133 128 115 113 100 100 91 94

Based on: 10-Q (reporting date: 2026-04-25), 10-Q (reporting date: 2026-01-24), 10-Q (reporting date: 2025-10-25), 10-K (reporting date: 2025-07-26), 10-Q (reporting date: 2025-04-26), 10-Q (reporting date: 2025-01-25), 10-Q (reporting date: 2024-10-26), 10-K (reporting date: 2024-07-27), 10-Q (reporting date: 2024-04-27), 10-Q (reporting date: 2024-01-27), 10-Q (reporting date: 2023-10-28), 10-K (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-Q (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-K (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-Q (reporting date: 2021-01-23), 10-Q (reporting date: 2020-10-24).

1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 79 + 3950 = 68

2 Click competitor name to see calculations.


The analysis of operating activity ratios reveals a significant expansion in the cash conversion cycle over the observed period. The overall efficiency of working capital management has declined, as the time required to convert resource inputs into cash flows from sales has increased substantially from 10 days in October 2020 to 68 days by April 2026.

Average Inventory Processing Period
A consistent and pronounced upward trend is observed in the inventory processing period. Starting at 28 days, the duration grew steadily to peak at 63 days in July 2023, before continuing a general climb to reach 79 days by April 2026. This represents the most significant driver of the lengthening cash conversion cycle, indicating a slower turnover of inventory and potentially higher levels of stockpiling or reduced demand velocity.
Average Receivable Collection Period
The collection period exhibits moderate volatility without a definitive long-term linear trend. The duration fluctuated between a minimum of 30 days and a maximum of 47 days. While there were intermittent spikes, such as in July 2022 and July 2024, the period generally remained within a range of 30 to 45 days, suggesting that credit collection efficiency has remained relatively stable despite the broader changes in the operating cycle.
Average Payables Payment Period
The payment period for payables shows a pattern of fluctuation with a tendency to oscillate between 33 and 51 days. A contraction was noted reaching a low of 33 days in January 2024, followed by a subsequent recovery toward 50 days by April 2026. The relative stability of this metric suggests that the company has not significantly extended its payment terms to suppliers to offset the increased costs of holding inventory.
Cash Conversion Cycle
The cash conversion cycle has deteriorated from an initial 10 days to a final 68 days. The growth is characterized by a steady ascent, with notable peaks occurring in July 2023 (60 days) and July 2024 (66 days). Because the increase in the inventory processing period far outpaced any changes in receivable collections or payable payments, the net result is a significant increase in the amount of time capital remains tied up in the operating process.

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