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International Business Machines Corp. (NYSE:IBM)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

International Business Machines Corp., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Sep 30, 2026 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 15.10 16.58 19.44 23.15 19.75 21.72 18.86 21.10 19.90 22.19 22.72 23.74 19.66 18.29 17.30 17.94 15.59 16.30 14.96
Receivables turnover 12.06 11.43 10.61 8.33 11.82 10.72 10.73 9.22 11.61 10.81 10.27 8.57 11.48 10.67 10.52 9.25 10.95 10.17 9.79
Payables turnover 6.54 6.59 7.10 5.94 7.14 6.84 7.53 6.75 8.31 7.54 7.67 6.67 8.23 7.36 7.44 6.87 7.35 7.40 7.69
Working capital turnover — — — — — — 273.18 46.83 37.03 17.08 14.55 — — 31.12 12.14 — — — —
Average No. Days
Average inventory processing period 24 22 19 16 18 17 19 17 18 16 16 15 19 20 21 20 23 22 24
Add: Average receivable collection period 30 32 34 44 31 34 34 40 31 34 36 43 32 34 35 39 33 36 37
Operating cycle 54 54 53 60 49 51 53 57 49 50 52 58 51 54 56 59 56 58 61
Less: Average payables payment period 56 55 51 61 51 53 48 54 44 48 48 55 44 50 49 53 50 49 47
Cash conversion cycle -2 -1 2 -1 -2 -2 5 3 5 2 4 3 7 4 7 6 6 9 14

Based on: 10-Q (reporting date: 2026-09-30), 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).


An analysis of the short-term operating activity ratios reveals a strategic shift in working capital management, characterized by an overall acceleration of the cash conversion cycle and a transition toward a negative cash conversion position in later periods.

Inventory and Receivables Management
Inventory turnover demonstrated a general upward trend from March 2022 (14.96) to a peak in December 2023 (23.74), which corresponded with a reduction in the average inventory processing period from 24 days to 15 days. However, this efficiency normalized toward the end of the period, with the processing period returning to 24 days by September 2026. Receivables turnover remained relatively stable, typically fluctuating between 8.33 and 12.06. A recurring seasonal pattern is observed in the average receivable collection period, which consistently peaks in December each year, reaching up to 44 days, before contracting in the following quarters.
Payables and Working Capital Efficiency
Payables turnover exhibited a gradual decline over the analyzed timeframe, moving from 7.69 in March 2022 to 6.54 by September 2026. This downward trend in turnover is mirrored by a steady increase in the average payables payment period, which expanded from 47 days to 56 days. This indicates a strategic extension of payment terms to suppliers, effectively increasing the company's available liquidity. Working capital turnover showed extreme volatility in the limited data available, with a significant spike to 273.18 observed in March 2025, suggesting a sharp reduction in net working capital relative to revenue during that period.
Operating Cycle and Cash Conversion Dynamics
The operating cycle, comprising the sum of inventory processing and receivables collection periods, trended downward from 61 days in early 2022 to a range of 49 to 54 days in later periods. The most notable improvement is found in the cash conversion cycle (CCC). The CCC decreased from 14 days in March 2022 to consistently near-zero or negative values starting in June 2025. By September 2026, the CCC reached -2 days, indicating that the company is able to recover cash from its sales and inventory before the necessity to pay its suppliers arises.

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Inventory Turnover

International Business Machines Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 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 7,389 7,255 6,967 7,757 6,971 7,000 6,510 7,114 6,548 6,820 6,720 7,114 6,729 6,974 6,743 7,059 6,677 7,245 6,862
Inventory, at lower of average cost or net realizable value 1,945 1,746 1,476 1,220 1,397 1,251 1,431 1,289 1,367 1,234 1,212 1,161 1,399 1,501 1,603 1,552 1,794 1,684 1,776
Short-term Activity Ratio
Inventory turnover1 15.10 16.58 19.44 23.15 19.75 21.72 18.86 21.10 19.90 22.19 22.72 23.74 19.66 18.29 17.30 17.94 15.59 16.30 14.96
Benchmarks
Inventory Turnover, Competitors2
Cadence Design Systems Inc. 1.96 2.11 2.42 2.38 2.63 3.25 3.06 2.51 1.81 2.79 2.35 2.39 2.59 2.88 3.12 2.90 3.04 3.17 2.91
Microsoft Corp. 82.74 90.61 81.22 93.64 98.47 88.10 47.92 59.48 54.62 42.63 22.24 26.35 22.77 21.81 15.10 16.74 18.27 19.09 16.09
Synopsys Inc. 5.43 5.21 5.06 4.45 3.52 3.17 2.98 3.44 3.12 3.23 3.18 3.75 4.15 4.43 4.94 5.02 4.62 4.45 4.28

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Inventory turnover = (CostQ3 2026 + CostQ2 2026 + CostQ1 2026 + CostQ4 2025) ÷ Inventory, at lower of average cost or net realizable value
= (7,389 + 7,255 + 6,967 + 7,757) ÷ 1,945 = 15.10

2 Click competitor name to see calculations.


Analysis of inventory management efficiency reveals a cyclical pattern characterized by a multi-year period of optimization followed by a recent contraction in turnover velocity.

Inventory Turnover Dynamics
A significant upward trend in the inventory turnover ratio was observed from March 2022 through December 2023, with the ratio ascending from 14.96 to a peak of 23.74. This movement indicates a substantial improvement in the speed at which inventory was cycled, suggesting enhanced operational efficiency or a strategic reduction in stock holdings relative to costs.
Inventory Volume Trends
Inventory levels experienced a steady decline during the initial phase of the analysis, dropping from 1,776 million USD in March 2022 to a low of 1,161 million USD by December 2023. Following this trough, a gradual increase in inventory was noted throughout 2024 and 2025, accelerating sharply in 2026 to reach 1,945 million USD by September 30, 2026.
Cost Stability and Ratio Correlation
Quarterly costs remained relatively range-bound, fluctuating primarily between 6,500 million USD and 7,800 million USD. Because cost figures remained stable, the fluctuations in the inventory turnover ratio were driven almost exclusively by changes in inventory levels. The sharp decline in the ratio from 23.15 in December 2025 to 15.10 in September 2026 correlates directly with the rapid accumulation of inventory during the 2026 calendar year.

The overall trajectory indicates a return to baseline efficiency levels. After maintaining high turnover rates between 2023 and 2025, the most recent data suggests a reversal of the previous lean inventory trend, bringing the turnover ratio back to levels consistent with the early 2022 period.

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Receivables Turnover

International Business Machines Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 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)
Revenue 17,103 17,162 15,917 19,686 16,331 16,977 14,541 17,553 14,968 15,770 14,462 17,381 14,752 15,475 14,252 16,691 14,107 15,535 14,197
Notes and accounts receivable, trade, net of allowances 5,794 6,044 6,493 8,112 5,532 5,974 5,857 6,804 5,390 5,769 6,041 7,214 5,330 5,673 5,757 6,541 5,526 5,867 5,963
Short-term Activity Ratio
Receivables turnover1 12.06 11.43 10.61 8.33 11.82 10.72 10.73 9.22 11.61 10.81 10.27 8.57 11.48 10.67 10.52 9.25 10.95 10.17 9.79
Benchmarks
Receivables Turnover, Competitors2
Adobe Inc. 12.48 12.64 11.69 10.14 11.08 13.03 11.17 10.38 11.62 12.67 9.69 8.73 10.20 10.94 9.99 8.53 9.98 10.51 9.58
Cadence Design Systems Inc. 5.52 5.48 5.35 5.61 6.90 7.59 8.39 6.82 7.76 7.37 10.46 8.36 9.19 8.62 7.54 7.32 8.78 8.38 8.72
Datadog Inc. 5.39 4.79 5.40 4.62 5.84 4.99 5.78 4.48 5.21 4.49 5.01 4.18 5.01 5.70 4.89 4.19 4.39 4.47 4.33
Intuit Inc. 25.09 17.12 33.56 35.53 25.12 16.88 38.94 35.63 20.02 16.27 39.65 35.48 19.62 15.15 34.68 28.53 17.44 12.84 25.10
Microsoft Corp. 5.30 5.40 5.55 4.03 5.22 5.43 5.76 4.31 5.37 5.31 5.91 4.35 5.55 5.70 6.49 4.48 5.90 5.52 6.44
Oracle Corp. 5.98 6.46 6.67 6.71 6.93 6.72 6.71 6.73 7.20 7.59 7.82 7.22 7.72 7.43 7.44 7.13 9.12 9.28 9.11
Palantir Technologies Inc. 3.87 4.14 3.72 4.29 3.87 4.60 4.30 4.98 3.96 3.76 4.79 6.10 4.94 5.44 7.81 7.38 5.33 6.56 6.42
Palo Alto Networks Inc. 3.72 4.68 7.12 3.11 4.55 5.73 7.32 3.07 4.54 3.97 5.10 2.80 4.50 4.82 4.70 2.57 4.17 5.10 5.61
Salesforce Inc. 7.37 7.06 8.86 3.17 7.84 6.76 8.36 3.05 7.00 6.12 6.95 2.92 7.09 6.18 7.07 2.72 6.22 5.78 7.04
ServiceNow Inc. 6.94 6.69 8.15 5.05 8.18 7.11 8.44 4.90 8.00 6.56 7.26 4.41 7.26 7.33 6.87 4.20 7.71 7.74 7.59
Synopsys Inc. 7.14 6.85 4.88 4.69 4.62 6.21 6.80 6.56 7.56 7.25 5.63 6.17 8.29 6.78 5.00 6.38 7.25 6.58 4.34
Workday Inc. 5.27 5.57 6.38 4.33 5.81 6.09 6.68 4.43 5.70 5.28 5.94 3.96 5.71 5.13 6.94 4.14 5.66 5.35 6.91

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Receivables turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Notes and accounts receivable, trade, net of allowances
= (17,103 + 17,162 + 15,917 + 19,686) ÷ 5,794 = 12.06

2 Click competitor name to see calculations.


An analysis of the receivables turnover ratio reveals a consistent seasonal pattern characterized by cyclical fluctuations that correlate closely with quarterly revenue peaks. The efficiency of receivable collections demonstrates a recurring trend where turnover ratios reach their lowest points in the fourth quarter and peak in the third quarter of each fiscal year.

Seasonal Volatility and Quarterly Patterns
A recurring dip in the receivables turnover ratio is observed every December. The ratio fell to 9.25 in December 2022, 8.57 in December 2023, 9.22 in December 2024, and 8.33 in December 2025. This downward trend coincides with the highest quarterly revenue figures and the highest levels of outstanding trade receivables, suggesting that the surge in year-end sales leads to a temporary increase in the collection period.
Peak Collection Efficiency
Conversely, the highest turnover ratios are consistently recorded at the end of the third quarter. The ratio progressed from 10.95 in September 2022 to 11.48 in September 2023, 11.61 in September 2024, 11.82 in September 2025, and reached a period high of 12.06 by September 2026. This indicates a high level of efficiency in converting receivables into cash during the third quarter of each year.
Long-term Efficiency Trend
Despite the seasonal volatility, an overall upward trajectory in peak collection efficiency is evident. The gradual increase in the September peaks suggests an improving capacity to manage credit and collect payments more rapidly over the multi-year period. While the December troughs remain low, the ability to achieve higher turnover ratios in the subsequent quarters indicates a robust underlying credit management process.
Revenue and Receivables Correlation
The relationship between revenue growth and receivable balances remains proportional. As revenue scaled from approximately 14 billion to over 17 billion in typical quarters, the net trade receivables maintained a stable range, generally between 5.3 billion and 8.1 billion. The correlation suggests that the growth in sales has not led to a degradation of credit quality or a significant slowdown in the overall collection cycle.

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Payables Turnover

International Business Machines Corp., payables turnover calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 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 7,389 7,255 6,967 7,757 6,971 7,000 6,510 7,114 6,548 6,820 6,720 7,114 6,729 6,974 6,743 7,059 6,677 7,245 6,862
Accounts payable 4,491 4,395 4,039 4,756 3,867 3,974 3,585 4,032 3,274 3,631 3,588 4,132 3,342 3,732 3,728 4,051 3,806 3,707 3,453
Short-term Activity Ratio
Payables turnover1 6.54 6.59 7.10 5.94 7.14 6.84 7.53 6.75 8.31 7.54 7.67 6.67 8.23 7.36 7.44 6.87 7.35 7.40 7.69
Benchmarks
Payables Turnover, Competitors2
Accenture PLC 15.64 15.73 16.19 17.60 17.37 17.43 17.38 15.94 19.31 19.54 16.93 17.41 18.03 17.35 17.54 16.37 16.93 17.22 16.45
Adobe Inc. 5.28 5.35 6.19 6.12 7.47 6.75 7.33 6.53 7.47 6.73 7.92 7.50 7.29 6.51 7.21 5.71 6.66 5.53 6.54
Datadog Inc. 3.28 2.59 4.23 4.62 4.76 3.05 5.72 4.79 5.18 3.81 6.53 4.67 4.71 8.16 8.95 14.77 11.48 6.02 14.07
Intuit Inc. 3.83 4.24 5.83 4.86 3.73 3.48 5.41 4.81 3.83 4.19 5.12 4.93 3.29 3.54 3.98 3.26 2.52 2.31 3.47
Microsoft Corp. 2.69 2.57 2.82 3.17 3.18 3.54 3.42 3.37 3.94 3.89 3.46 3.64 4.28 4.23 3.88 3.30 3.74 3.76 3.70
Oracle Corp. 2.23 1.89 2.18 3.31 6.65 5.89 7.00 6.42 9.02 13.12 13.67 11.27 7.60 6.68 6.72 6.74 7.65 8.03 10.79
Palo Alto Networks Inc. 10.16 10.00 11.37 10.56 9.99 15.01 10.12 17.71 18.29 10.93 14.57 14.43 20.69 14.50 14.30 13.43 14.68 12.25 14.46
ServiceNow Inc. 17.98 22.94 7.66 14.62 19.04 12.27 7.83 33.63 13.16 7.04 8.98 15.25 26.38 10.08 7.20 5.74 7.86 5.60 8.57
Workday Inc. 21.83 21.88 23.01 19.16 26.89 21.90 24.24 22.71 22.24 19.76 15.27 11.16 21.79 25.95 12.14 25.74 28.20 24.24 25.48

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Payables turnover = (CostQ3 2026 + CostQ2 2026 + CostQ1 2026 + CostQ4 2025) ÷ Accounts payable
= (7,389 + 7,255 + 6,967 + 7,757) ÷ 4,491 = 6.54

2 Click competitor name to see calculations.


The analysis of the payables turnover ratio reveals a pattern of seasonal volatility coupled with a gradual long-term decline in turnover efficiency. The ratio exhibits consistent cyclical fluctuations, with recurring peaks and troughs that align with the end-of-year financial cycles.

Seasonal Cyclicality
A distinct seasonal pattern is observed where the payables turnover ratio consistently reaches its lowest points during the December quarters. Notable troughs occurred in December 2022 (6.87), December 2023 (6.67), and December 2025 (5.94). Conversely, turnover peaks typically emerge in the September quarters, with high points recorded in September 2023 (8.23) and September 2024 (8.31), indicating a more rapid settlement of obligations during these periods.
Correlation Between Costs and Liabilities
Operating costs remained relatively stable, generally fluctuating between 6.5 billion and 7.4 billion US dollars, with a significant outlier of 7.76 billion US dollars in December 2025. Accounts payable demonstrated a strong correlation with these costs, frequently peaking in December. The synchronization of peak liabilities and peak costs at year-end contributes to the observed reduction in the turnover ratio during the fourth quarter of each year.
Long-Term Trend Analysis
Over the extended period from March 2022 to September 2026, the payables turnover ratio transitioned from a range of 7.35 to 7.69 toward a lower range of 6.54 to 7.10. The decline from an initial 7.69 to a final 6.54 suggests a systemic shift toward extending the payment cycle, meaning the company is taking longer on average to pay its suppliers than it did at the beginning of the period.

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Working Capital Turnover

International Business Machines Corp., working capital turnover calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 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 31,192 28,398 31,914 36,944 32,740 34,253 35,336 34,482 30,543 33,299 36,663 32,908 27,705 34,458 35,982 29,118 28,999 27,896 31,330
Less: Current liabilities 36,485 35,912 40,101 38,658 35,142 37,726 35,106 33,142 28,853 29,648 32,397 34,122 30,606 32,513 30,993 31,505 30,466 31,844 34,056
Working capital (5,293) (7,514) (8,187) (1,714) (2,402) (3,473) 230 1,340 1,690 3,651 4,266 (1,214) (2,901) 1,945 4,989 (2,387) (1,467) (3,948) (2,726)
 
Revenue 17,103 17,162 15,917 19,686 16,331 16,977 14,541 17,553 14,968 15,770 14,462 17,381 14,752 15,475 14,252 16,691 14,107 15,535 14,197
Short-term Activity Ratio
Working capital turnover1 — — — — — — 273.18 46.83 37.03 17.08 14.55 — — 31.12 12.14 — — — —
Benchmarks
Working Capital Turnover, Competitors2
Accenture PLC 9.97 10.23 8.66 8.15 7.92 8.22 8.28 34.49 22.48 15.40 11.18 11.93 10.11 13.40 14.81 15.07 13.41 15.55 15.85
Adobe Inc. — — — — 133.99 — 13.02 30.25 19.54 13.19 42.33 6.85 9.10 14.68 19.89 20.28 16.36 31.92 57.86
Cadence Design Systems Inc. 6.91 4.25 5.43 1.75 1.81 1.87 1.81 1.75 1.80 6.28 8.78 10.61 7.00 8.51 7.12 9.92 8.31 5.34 4.07
Datadog Inc. 0.96 0.96 0.93 0.90 0.91 0.92 0.88 0.88 1.26 1.33 0.96 0.98 1.02 1.03 1.06 1.06 1.02 0.95 0.85
Intuit Inc. 3.76 7.04 6.70 5.04 4.22 8.78 7.87 7.45 5.15 13.92 11.94 8.13 6.30 15.31 10.83 8.98 5.68 21.87 4.39
Microsoft Corp. 8.23 6.09 5.43 5.64 6.36 6.85 7.32 7.12 8.26 8.63 2.64 2.65 2.65 2.68 2.77 2.66 2.52 1.91 1.88
Oracle Corp. 4.53 — — — 113.15 — — — — — — — — — — 3.50 3.86 3.39 1.70
Palantir Technologies Inc. 0.66 0.64 0.64 0.62 0.61 0.59 0.59 0.58 0.60 0.62 0.63 0.66 0.68 0.71 0.75 0.78 0.81 0.78 0.73
Palo Alto Networks Inc. — 27.48 — — — — — — — — — — — — — — — — —
Salesforce Inc. — 14.11 23.11 21.69 18.14 42.35 14.56 14.27 42.02 99.31 90.67 62.21 30.85 25.15 54.57 24.95 27.10 — 4.36
ServiceNow Inc. — — — 474.21 25.49 15.46 11.33 13.25 11.50 11.73 27.96 21.77 19.04 9.59 7.83 11.16 6.63 11.21 10.61
Synopsys Inc. 5.62 5.27 5.60 3.08 2.99 0.43 1.53 1.60 2.35 2.82 7.85 13.12 10.27 12.83 17.05 21.34 14.02 7.78 9.47
Workday Inc. 2.22 1.64 1.69 1.69 1.75 1.68 1.70 1.49 1.54 1.60 1.69 1.79 1.83 1.93 2.03 35.15 11.69 24.99 —

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Working capital turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Working capital
= (17,103 + 17,162 + 15,917 + 19,686) ÷ -5,293 = —

2 Click competitor name to see calculations.


The analysis of the operating activity indicates significant volatility in working capital management relative to revenue growth from March 2022 through September 2026. Revenue demonstrates a consistent upward trajectory, characterized by recurring seasonal peaks in the fourth quarter of each year, growing from a range of approximately 14 billion to 17 billion USD in 2022 to peaks as high as 19.6 billion USD by late 2025.

Working Capital Trends
Working capital positions exhibit extreme fluctuations, alternating between negative and positive values. A sustained negative position is observed throughout 2022, followed by a period of instability in 2023 and 2024 where the balance shifted between surpluses and deficits. A notable trend emerges starting in mid-2025, where working capital returns to a negative state and accelerates downward, reaching a low of -8.1 billion USD by March 2026 before recovering slightly to -5.2 billion USD by September 2026.
Working Capital Turnover Analysis
The working capital turnover ratio is only applicable and recorded during periods of positive working capital. Between March 2023 and December 2024, the ratio shows inconsistent movement, ranging from 12.14 to 46.83. A significant anomaly is observed in March 2025, where the ratio spikes to 273.18. This surge is not indicative of a sudden increase in operational efficiency, but rather a mathematical result of working capital declining toward zero (230 million USD) while revenue remained high.
Operational Efficiency and Liquidity Correlation
The frequent occurrence of negative working capital suggests a strategic or operational reliance on current liabilities to fund operations. The lack of turnover data for the majority of the analyzed periods—specifically throughout 2022, late 2023, and the entirety of 2025 and 2026—highlights a recurring state where current liabilities exceed current assets, rendering the traditional turnover ratio non-informative for assessing short-term asset utilization.

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Average Inventory Processing Period

International Business Machines Corp., average inventory processing period calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 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 15.10 16.58 19.44 23.15 19.75 21.72 18.86 21.10 19.90 22.19 22.72 23.74 19.66 18.29 17.30 17.94 15.59 16.30 14.96
Short-term Activity Ratio (no. days)
Average inventory processing period1 24 22 19 16 18 17 19 17 18 16 16 15 19 20 21 20 23 22 24
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Cadence Design Systems Inc. 187 173 151 153 139 112 119 145 201 131 156 152 141 127 117 126 120 115 125
Microsoft Corp. 4 4 4 4 4 4 8 6 7 9 16 14 16 17 24 22 20 19 23
Synopsys Inc. 67 70 72 82 104 115 123 106 117 113 115 97 88 82 74 73 79 82 85

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 15.10 = 24

2 Click competitor name to see calculations.


The inventory management metrics exhibit a cyclical trend characterized by a period of significant efficiency gains followed by a gradual return to baseline levels. A strong inverse correlation is evident between the inventory turnover ratio and the average inventory processing period throughout the analyzed timeframe.

Inventory Turnover Trends
A consistent upward trajectory in the turnover ratio is observed from March 2022 (14.96) to a peak of 23.74 in December 2023. Following this peak, the ratio entered a phase of volatility throughout 2024 and 2025, generally fluctuating between 18.86 and 23.15. A notable decline occurred during 2026, with the ratio falling to 15.10 by September 30, 2026, effectively returning to the levels recorded at the start of the period.
Average Inventory Processing Period
The duration required to process inventory decreased from 24 days in March 2022 to a minimum of 15 days in December 2023. During 2024 and 2025, the processing period remained relatively stable, oscillating between 16 and 19 days. A reversal of this efficiency trend is observed in 2026, where the processing period increased steadily from 19 days in March to 24 days by September, mirroring the initial state of the observed period.
Operational Velocity Analysis
The peak efficiency observed in late 2023 indicates a period of rapid inventory liquidation and high operational velocity. The subsequent deterioration of these ratios in 2026 suggests a deceleration in inventory movement, which may be attributed to a slowdown in sales volume or a strategic increase in safety stock levels.

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Average Receivable Collection Period

International Business Machines Corp., average receivable collection period calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 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 12.06 11.43 10.61 8.33 11.82 10.72 10.73 9.22 11.61 10.81 10.27 8.57 11.48 10.67 10.52 9.25 10.95 10.17 9.79
Short-term Activity Ratio (no. days)
Average receivable collection period1 30 32 34 44 31 34 34 40 31 34 36 43 32 34 35 39 33 36 37
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Adobe Inc. 29 29 31 36 33 28 33 35 31 29 38 42 36 33 37 43 37 35 38
Cadence Design Systems Inc. 66 67 68 65 53 48 43 54 47 50 35 44 40 42 48 50 42 44 42
Datadog Inc. 68 76 68 79 62 73 63 81 70 81 73 87 73 64 75 87 83 82 84
Intuit Inc. 15 21 11 10 15 22 9 10 18 22 9 10 19 24 11 13 21 28 15
Microsoft Corp. 69 68 66 91 70 67 63 85 68 69 62 84 66 64 56 81 62 66 57
Oracle Corp. 61 56 55 54 53 54 54 54 51 48 47 51 47 49 49 51 40 39 40
Palantir Technologies Inc. 94 88 98 85 94 79 85 73 92 97 76 60 74 67 47 49 68 56 57
Palo Alto Networks Inc. 98 78 51 117 80 64 50 119 80 92 72 130 81 76 78 142 88 72 65
Salesforce Inc. 50 52 41 115 47 54 44 120 52 60 53 125 52 59 52 134 59 63 52
ServiceNow Inc. 53 55 45 72 45 51 43 74 46 56 50 83 50 50 53 87 47 47 48
Synopsys Inc. 51 53 75 78 79 59 54 56 48 50 65 59 44 54 73 57 50 55 84
Workday Inc. 69 66 57 84 63 60 55 82 64 69 61 92 64 71 53 88 65 68 53

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 12.06 = 30

2 Click competitor name to see calculations.


The analysis of receivables turnover and the average receivable collection period reveals a consistent cyclical pattern over the period from March 2022 to September 2026. The metrics indicate a strong seasonal influence on credit collection efficiency, characterized by recurring annual peaks and troughs.

Seasonal Periodicity
A distinct seasonal trend is observed where the average receivable collection period consistently peaks in December of each year, with durations ranging between 39 and 44 days. In contrast, the most efficient collection activity occurs every September, where the collection period reaches its annual minimum.
Receivables Turnover Dynamics
The receivables turnover ratio exhibits an inverse relationship with the collection period, typically declining in the fourth quarter and peaking in the third quarter. There is a visible upward trend in the third-quarter peaks, with the turnover ratio increasing from 10.95 in September 2022 to 12.06 by September 2026, indicating an acceleration in the velocity of receivable conversions.
Long-term Efficiency Trends
While the December peaks remain relatively volatile, the minimum collection days have shown a gradual and steady improvement. The shortest collection window decreased from 33 days in September 2022 to 30 days in September 2026, suggesting a marginal but consistent enhancement in optimal collection performance over the multi-year horizon.

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Operating Cycle

International Business Machines Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Sep 30, 2026 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 24 22 19 16 18 17 19 17 18 16 16 15 19 20 21 20 23 22 24
Average receivable collection period 30 32 34 44 31 34 34 40 31 34 36 43 32 34 35 39 33 36 37
Short-term Activity Ratio
Operating cycle1 54 54 53 60 49 51 53 57 49 50 52 58 51 54 56 59 56 58 61
Benchmarks
Operating Cycle, Competitors2
Cadence Design Systems Inc. 253 240 219 218 192 160 162 199 248 181 191 196 181 169 165 176 162 159 167
Microsoft Corp. 73 72 70 95 74 71 71 91 75 78 78 98 82 81 80 103 82 85 80
Synopsys Inc. 118 123 147 160 183 174 177 162 165 163 180 156 132 136 147 130 129 137 169

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 24 + 30 = 54

2 Click competitor name to see calculations.


The operating cycle exhibits a general trend of optimization between early 2022 and late 2024, followed by a period of relative stabilization and slight expansion. A consistent seasonal fluctuation is evident, particularly during the fourth quarter of each year, which significantly impacts the overall duration of the cycle.

Average Inventory Processing Period
An initial improvement in inventory efficiency is observed, with the processing period decreasing from 24 days in March 2022 to a minimum of 15 days by December 2023. Following this decline, the period remained relatively stable between 16 and 19 days throughout 2024 and 2025. A gradual increase is noted toward the end of the analyzed period, returning to 24 days by September 2026.
Average Receivable Collection Period
The collection period demonstrates a clear and recurring seasonal pattern. A peak in the number of days required to collect receivables occurs consistently in December of each year, reaching highs of 39, 43, 40, and 44 days between 2022 and 2025. Conversely, collection efficiency improves significantly every September, with the period reaching its lowest point of 30 days by September 2026.
Operating Cycle
The overall operating cycle reflects the combined impact of inventory and receivable trends. A downward trend is observed from a peak of 61 days in March 2022 to a low of 49 days in September 2024. The cycle is characterized by annual volatility, with durations expanding every December (peaking at 60 days in December 2025) and contracting in the third quarter. By September 2026, the operating cycle stabilized at 54 days.

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Average Payables Payment Period

International Business Machines Corp., average payables payment period calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 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
Payables turnover 6.54 6.59 7.10 5.94 7.14 6.84 7.53 6.75 8.31 7.54 7.67 6.67 8.23 7.36 7.44 6.87 7.35 7.40 7.69
Short-term Activity Ratio (no. days)
Average payables payment period1 56 55 51 61 51 53 48 54 44 48 48 55 44 50 49 53 50 49 47
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Accenture PLC 23 23 23 21 21 21 21 23 19 19 22 21 20 21 21 22 22 21 22
Adobe Inc. 69 68 59 60 49 54 50 56 49 54 46 49 50 56 51 64 55 66 56
Datadog Inc. 111 141 86 79 77 120 64 76 71 96 56 78 78 45 41 25 32 61 26
Intuit Inc. 95 86 63 75 98 105 67 76 95 87 71 74 111 103 92 112 145 158 105
Microsoft Corp. 136 142 130 115 115 103 107 108 93 94 106 100 85 86 94 111 98 97 99
Oracle Corp. 164 193 167 110 55 62 52 57 40 28 27 32 48 55 54 54 48 45 34
Palo Alto Networks Inc. 36 36 32 35 37 24 36 21 20 33 25 25 18 25 26 27 25 30 25
ServiceNow Inc. 20 16 48 25 19 30 47 11 28 52 41 24 14 36 51 64 46 65 43
Workday Inc. 17 17 16 19 14 17 15 16 16 18 24 33 17 14 30 14 13 15 14

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 6.54 = 56

2 Click competitor name to see calculations.


An analysis of short-term operating activity reveals a fluctuating yet generally increasing trend in the duration of payables settlements from March 2022 through September 2026. A consistent inverse correlation is maintained between the payables turnover ratio and the average payables payment period, where declines in turnover correspond to an extension of the payment cycle.

Cyclical Volatility and Seasonality
A recurring pattern of volatility is evident, characterized by significant extensions of the payment period during the fourth quarter of each year. The average payables payment period peaked in December of 2022 (53 days), 2023 (55 days), 2024 (54 days), and 2025 (61 days). These year-end peaks are consistently followed by a contraction in the payment cycle during subsequent quarters, with notable lows of 44 days recorded in September 2023 and September 2024.
Long-Term Trend Analysis
The broader trajectory indicates a gradual lengthening of the credit period utilized for supplier payments. The payment period moved from a baseline of 47 days in March 2022 to 56 days by September 2026. This expansion is reflected in the payables turnover ratio, which exhibited a general downward trend from its early peaks, hitting a period low of 5.94 in December 2025 before settling at 6.54 in the final quarter of the analysis.
Operational Cash Flow Implications
The shift toward a longer average payment period suggests a strategic movement toward the preservation of liquid assets. By extending the time taken to settle obligations—moving from an average in the high 40s to the mid-to-high 50s—the organization effectively increases its available working capital and leverages supplier credit to support short-term operational requirements.

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Cash Conversion Cycle

International Business Machines Corp., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Sep 30, 2026 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 24 22 19 16 18 17 19 17 18 16 16 15 19 20 21 20 23 22 24
Average receivable collection period 30 32 34 44 31 34 34 40 31 34 36 43 32 34 35 39 33 36 37
Average payables payment period 56 55 51 61 51 53 48 54 44 48 48 55 44 50 49 53 50 49 47
Short-term Activity Ratio
Cash conversion cycle1 -2 -1 2 -1 -2 -2 5 3 5 2 4 3 7 4 7 6 6 9 14
Benchmarks
Cash Conversion Cycle, Competitors2
Microsoft Corp. -63 -70 -60 -20 -41 -32 -36 -17 -18 -16 -28 -2 -3 -5 -14 -8 -16 -12 -19

Based on: 10-Q (reporting date: 2026-09-30), 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 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 24 + 30 – 56 = -2

2 Click competitor name to see calculations.


The operating activity ratios exhibit a significant shift in working capital efficiency over the analyzed period. There is a clear progression from a positive cash conversion cycle toward a predominantly negative cycle, indicating an increasingly efficient use of short-term assets and a strategic extension of liabilities to finance operations.

Average Inventory Processing Period
Inventory management showed an initial trend of improvement, with the processing period declining from 24 days in March 2022 to a low of 15 days by December 2023. Following this trough, a gradual increase is observed, with the period returning to 24 days by September 2026. This suggests a period of peak inventory efficiency followed by a return to historical baseline levels.
Average Receivable Collection Period
A distinct seasonal pattern is evident in the collection of receivables. Each year, a peak occurs in December (reaching 44 days in December 2025), followed by a contraction in the subsequent quarters, typically bottoming out in September. Despite these cyclical fluctuations, the long-term trend shows a slight improvement in collection efficiency, ending at 30 days in September 2026.
Average Payables Payment Period
There is a consistent upward trend in the duration taken to settle obligations to suppliers. The payment period increased from 47 days in March 2022 to a peak of 61 days in December 2025, eventually stabilizing between 55 and 56 days in 2026. This extension of payment terms indicates an increased ability to leverage supplier credit to maintain liquidity.
Cash Conversion Cycle
The cash conversion cycle demonstrates a marked downward trajectory, falling from 14 days in March 2022 to a negative value of -2 days by June 2025. The cycle remains predominantly negative or near zero through September 2026. This transition implies that the company has reached a state where cash is recovered from sales before payments to suppliers are required, effectively utilizing accounts payable as a source of interest-free financing for its operating cycle.

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