Stock Analysis on Net
Stock Analysis on Net

Texas Instruments Inc. (NASDAQ:TXN)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Texas Instruments Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Turnover Ratios
Inventory turnover 1.76 1.68 1.58 1.52 1.45 1.44 1.45 1.51 1.59 1.60 1.63 1.65 1.70 1.92 2.27 2.56 2.74 2.88
Receivables turnover 7.72 8.21 9.01 8.37 8.62 8.63 9.10 8.44 9.41 10.05 9.80 9.17 9.62 10.39 10.57 9.90 8.95 10.56
Payables turnover 11.92 12.33 10.05 9.42 7.94 7.78 7.98 8.19 7.62 11.89 8.10 9.03 6.87 6.63 7.35 7.89 8.46 9.27
Working capital turnover 1.55 1.72 1.67 1.60 1.39 1.51 1.37 1.29 1.22 1.21 1.48 1.46 1.47 1.61 1.81 1.84 1.87 1.65
Average No. Days
Average inventory processing period 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Add: Average receivable collection period 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Operating cycle 254 262 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162
Less: Average payables payment period 31 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39
Cash conversion cycle 223 232 236 245 247 249 246 239 220 233 217 222 200 170 146 134 131 123

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).


The analyzed period is characterized by a significant expansion of the operating and cash conversion cycles, peaking in early 2025 before showing signs of a gradual recovery. There is a clear trend of declining operational efficiency in inventory management and receivables collection, which has substantially increased the time required to convert working capital into cash.

Inventory Management
Inventory turnover experienced a sustained decline from 2.88 in March 2022 to a trough of 1.44 in March 2025. This coincides with a dramatic increase in the average inventory processing period, which rose from 127 days to a peak of 254 days over the same timeframe. A modest recovery began in mid-2025, with the turnover ratio improving to 1.76 and the processing period contracting to 207 days by June 2026.
Receivables and Collections
Receivables turnover shows a general downward trajectory, falling from 10.56 in March 2022 to 7.72 by June 2026. Consequently, the average receivable collection period lengthened from 35 days to 47 days, indicating a slowdown in the velocity of cash inflows from customers.
Payables and Obligations
Payables turnover exhibited significant volatility, with a notable spike to 12.33 in March 2026. The average payables payment period peaked at 55 days in March 2023 but trended downward toward the end of the period, reaching 31 days by June 2026. This contraction in the payment period suggests a shift toward faster settlement of obligations to suppliers.
Working Capital and Cash Conversion
The operating cycle expanded from 162 days in March 2022 to a maximum of 296 days in March 2025, driven primarily by the inventory buildup. The cash conversion cycle mirrored this trend, increasing from 123 days to a peak of 249 days in March 2025. While the cash conversion cycle improved to 223 days by June 2026, it remains significantly higher than the levels observed at the start of the period. Working capital turnover fluctuated throughout the period, generally remaining lower after 2023 compared to the initial 2022 readings.

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Turnover Ratios


Average No. Days


Inventory Turnover

Texas Instruments Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Cost of revenue (COR) 2,111 2,026 1,951 2,019 1,873 1,756 1,693 1,677 1,611 1,566 1,646 1,717 1,621 1,516 1,583 1,624 1,587 1,463
Inventories 4,605 4,695 4,804 4,829 4,812 4,687 4,527 4,296 4,106 4,083 3,999 3,908 3,729 3,288 2,757 2,404 2,199 2,060
Short-term Activity Ratio
Inventory turnover1 1.76 1.68 1.58 1.52 1.45 1.44 1.45 1.51 1.59 1.60 1.63 1.65 1.70 1.92 2.27 2.56 2.74 2.88
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc. 2.28 2.31 2.21 2.27 2.32 2.16 2.28 2.33 2.44 2.61 2.81 2.74 2.70 3.05 3.45 3.62 4.24 4.00
Analog Devices Inc. 2.45 2.47 2.56 2.59 2.66 2.71 2.79 2.86 2.84 2.80 2.70 2.61 2.68 2.84 3.20 3.82 3.78 3.66
Applied Materials Inc. 2.34 2.41 2.46 2.54 2.58 2.63 2.63 2.54 2.46 2.49 2.47 2.45 2.41 2.32 2.33 2.42 2.60 2.79
Broadcom Inc. 5.53 7.42 9.07 9.12 9.59 10.09 10.83 8.92 8.09 6.67 5.86 6.10 6.00 5.98 5.77 5.92 6.40 6.95
Intel Corp. 2.80 2.79 2.97 3.00 3.28 2.95 2.93 2.94 2.87 2.81 2.92 2.85 2.78 2.68 2.74 2.90 3.02 2.97
KLA Corp. 1.49 1.47 1.48 1.44 1.44 1.33 1.29 1.29 1.28 1.37 1.47 1.54 1.63 1.59 1.67 1.71 1.75 1.73
Lam Research Corp. 2.56 2.43 2.20 2.00 1.95 1.95 1.86 1.75 1.77 1.84 2.00 2.14 2.16 2.24 2.36 2.60 2.89 2.95
Marvell Technology Inc. 3.81 3.45 3.29 3.78 3.61 3.73 3.72 3.40 3.04 2.92 2.74 2.97 2.96 3.21 3.33 3.37 4.06 2.84
Micron Technology Inc. 2.92 2.82 2.69 2.44 2.27 2.31 2.20 2.22 2.18 2.24 2.02 2.01 2.06 1.91 2.53 3.06 3.14 3.60
NVIDIA Corp. 3.33 3.92 3.24 3.57 3.47 3.36 3.15 2.83 2.68 2.45 2.25 2.70 3.02 3.25 3.62 3.87 3.75 3.63
Qualcomm Inc. 2.73 3.02 3.02 3.02 3.02 2.84 2.66 2.74 2.64 2.58 2.47 2.54 2.61 2.65 2.94 3.27 3.58 3.90

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Inventory turnover = (Cost of revenue (COR)Q2 2026 + Cost of revenue (COR)Q1 2026 + Cost of revenue (COR)Q4 2025 + Cost of revenue (COR)Q3 2025) ÷ Inventories
= (2,111 + 2,026 + 1,951 + 2,019) ÷ 4,605 = 1.76

2 Click competitor name to see calculations.


The analysis of inventory turnover reveals a distinct U-shaped trajectory over the evaluated period, characterized by a prolonged period of decline followed by a moderate recovery phase beginning in early 2025.

Inventory Turnover Deterioration (March 2022 – March 2025)
A consistent downward trend in the inventory turnover ratio is observed, falling from 2.88 in March 2022 to a minimum of 1.44 by March 2025. This contraction indicates a slowing of inventory liquidation relative to the cost of revenue. This decline is primarily driven by a substantial increase in inventory levels, which expanded from 2,060 million USD to 4,687 million USD during this timeframe, significantly outpacing the growth in the cost of revenue.
Turnover Recovery and Stabilization (March 2025 – June 2026)
A reversal in the trend is evident after March 2025, as the turnover ratio climbed steadily from 1.44 to 1.76 by June 2026. This improvement coincides with a peak in inventory levels in September 2025 at 4,829 million USD, followed by a gradual reduction to 4,605 million USD. This suggests a transition toward higher operational efficiency or a strategic correction of previous overstocking.

The relationship between the cost of revenue and inventory levels indicates that while the cost of revenue exhibited a general upward trend—increasing from 1,463 million USD to 2,111 million USD—the rate of inventory accumulation was disproportionately higher between 2022 and 2024. The subsequent stabilization of inventory levels alongside continued growth in the cost of revenue contributed to the observed recovery in turnover ratios toward the end of the analyzed period.

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Receivables Turnover

Texas Instruments Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Revenue 5,463 4,825 4,423 4,742 4,448 4,069 4,007 4,151 3,822 3,661 4,077 4,532 4,531 4,379 4,670 5,241 5,212 4,905
Accounts receivable, net of allowances 2,520 2,245 1,963 2,062 1,934 1,860 1,719 1,862 1,711 1,671 1,787 1,976 1,956 1,877 1,895 2,040 2,190 1,795
Short-term Activity Ratio
Receivables turnover1 7.72 8.21 9.01 8.37 8.62 8.63 9.10 8.44 9.41 10.05 9.80 9.17 9.62 10.39 10.57 9.90 8.95 10.56
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc. 5.67 6.21 5.49 5.16 5.79 5.10 4.16 3.36 4.05 4.53 4.22 4.37 5.07 5.71 5.72 5.26 5.33 5.13
Analog Devices Inc. 6.21 8.64 7.67 6.69 7.10 7.83 7.05 8.61 10.42 9.67 8.37 7.94 7.96 7.72 6.67 6.37 6.07 5.16
Applied Materials Inc. 4.55 5.67 5.47 4.96 4.54 4.61 5.19 5.40 5.55 5.64 5.13 5.08 4.83 4.88 4.25 5.08 5.09 5.49
Broadcom Inc. 6.97 8.07 8.94 9.23 10.25 11.00 11.68 10.04 7.75 7.82 11.36 12.17 11.56 10.64 11.22 11.70 9.73 11.23
Intel Corp. 14.14 13.22 13.77 16.69 22.49 17.31 15.27 17.38 17.60 16.62 15.94 18.59 18.04 14.66 15.26 9.31 12.11 10.98
KLA Corp. 6.15 5.50 5.37 5.35 4.65 5.25 5.35 5.91 5.25 6.24 5.99 5.48 4.59 5.30 5.08 5.34 4.72 5.10
Lam Research Corp. 5.89 5.39 5.46 5.31 4.90 5.31 5.92 6.46 5.29 5.63 6.17 5.78 4.68 3.94 3.99 4.52 4.86 4.64
Marvell Technology Inc. 4.98 5.68 5.61 5.39 4.98 6.06 4.91 4.53 4.65 5.79 4.97 4.20 4.27 4.26 4.26 4.00 4.40 4.48
Micron Technology Inc. 3.36 4.15 4.03 4.55 4.82 3.92 3.80 4.17 4.26 5.50 6.36 7.48 10.12 8.18 6.00 5.20 5.79 5.64
NVIDIA Corp. 5.94 6.71 5.66 6.40 6.81 6.45 6.09 5.40 4.63 6.34 7.05 5.82 5.59 5.43 5.79 6.14 6.11 6.37

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Receivables turnover = (RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025) ÷ Accounts receivable, net of allowances
= (5,463 + 4,825 + 4,423 + 4,742) ÷ 2,520 = 7.72

2 Click competitor name to see calculations.


A sustained downward trend in the receivables turnover ratio is evident from March 2022 through June 2026. While the ratio remained relatively robust, peaking at 10.57 in December 2022, it experienced a gradual erosion over the subsequent years, eventually declining to 7.72 by the end of the observation window.

Revenue and Receivables Correlation
Revenue exhibited a cyclical pattern, characterized by a contraction between September 2022 and March 2024, followed by a recovery that peaked in June 2026 at 5,463 million US$. Despite this revenue recovery, the growth in net accounts receivable accelerated toward the end of the period, reaching a maximum of 2,520 million US$ in June 2026. This disproportionate increase in receivables relative to revenue growth contributed to the compression of the turnover ratio.
Efficiency Trend Analysis
The efficiency of converting receivables into cash was highest between March 2022 and March 2023, where the ratio consistently operated above 9.6. A transition occurred starting in 2024, as the ratio began to consistently trend below 9.0. The most significant decline is observed in the final three quarters of the series, where the ratio dropped from 9.01 in September 2025 to 7.72 in June 2026.
Collection Cycle Implications
The steady decrease in the receivables turnover ratio indicates a lengthening of the average collection period. The move from a ratio of 10.56 to 7.72 suggests that the company is taking longer to collect payments from its customers, which may be attributable to shifts in credit policy, changes in customer payment behavior, or a strategic decision to extend payment terms to support the revenue growth observed in 2025 and 2026.

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Payables Turnover

Texas Instruments Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Cost of revenue (COR) 2,111 2,026 1,951 2,019 1,873 1,756 1,693 1,677 1,611 1,566 1,646 1,717 1,621 1,516 1,583 1,624 1,587 1,463
Accounts payable 680 638 756 779 881 866 820 794 858 551 802 713 923 952 851 780 712 641
Short-term Activity Ratio
Payables turnover1 11.92 12.33 10.05 9.42 7.94 7.78 7.98 8.19 7.62 11.89 8.10 9.03 6.87 6.63 7.35 7.89 8.46 9.27
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc. 3.61 6.21 5.97 4.76 5.03 6.28 5.30 4.19 5.75 6.54 5.05 4.73 3.98 4.50 4.40 4.46 5.97 5.78
Analog Devices Inc. 7.56 7.96 7.81 8.43 9.43 10.84 8.30 9.63 9.94 10.91 8.98 7.62 7.76 8.09 7.70 8.43 9.01 8.17
Broadcom Inc. 10.24 10.41 13.20 13.88 14.92 10.10 11.47 9.62 10.34 8.56 9.20 11.34 13.62 12.31 11.13 15.27 9.98 9.80
Intel Corp. 4.00 4.85 3.49 3.35 3.49 3.33 2.85 3.20 3.36 3.78 3.79 3.77 3.81 4.30 3.77 5.21 4.63 4.92
KLA Corp. 11.52 11.28 10.36 10.61 10.10 10.97 10.93 10.94 10.33 11.34 11.37 10.30 7.77 7.96 8.10 7.98 8.43 7.79
Lam Research Corp. 10.05 11.50 11.07 10.44 10.33 11.63 12.79 14.24 15.69 16.55 20.50 17.34 11.33 8.52 9.25 8.99 9.31 10.12
Marvell Technology Inc. 6.56 6.57 5.44 6.04 6.50 9.61 7.81 7.63 7.48 7.73 6.29 5.97 5.52 4.85 5.20 4.81 5.03 5.02
NVIDIA Corp. 5.50 6.06 5.17 5.11 6.29 7.26 6.16 5.68 5.99 9.91 9.74 8.08 4.86 5.13 5.29 5.19 5.38 5.94
Qualcomm Inc. 6.76 7.44 7.07 8.20 7.56 6.94 6.60 6.37 6.95 7.52 8.30 9.67 12.50 7.17 4.91 4.72 4.37 4.28

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Payables turnover = (Cost of revenue (COR)Q2 2026 + Cost of revenue (COR)Q1 2026 + Cost of revenue (COR)Q4 2025 + Cost of revenue (COR)Q3 2025) ÷ Accounts payable
= (2,111 + 2,026 + 1,951 + 2,019) ÷ 680 = 11.92

2 Click competitor name to see calculations.


The analysis of operating activity reveals a dynamic relationship between the cost of revenue and the management of accounts payable, resulting in significant fluctuations in the payables turnover ratio over the observed period.

Phase of Declining Turnover (March 2022 – March 2023)
An initial downward trend in the payables turnover ratio is observed, falling from 9.27 to a low of 6.63. This period is characterized by a steady increase in accounts payable, which grew from 641 million to 952 million, outpacing the growth in the cost of revenue. This pattern suggests an extension of the payment cycle or an increase in credit terms granted by suppliers during this timeframe.
Period of High Volatility (June 2023 – December 2024)
The turnover ratio experienced substantial volatility during this interval, most notably peaking at 11.89 in March 2024. This spike directly correlates with a sharp reduction in accounts payable to 551 million, the lowest level recorded in the series. Following this peak, the ratio stabilized between 7.62 and 8.19 through the end of 2024, indicating a normalization of payment rhythms.
Acceleration of Payment Cycles (March 2025 – June 2026)
A consistent upward trend in the payables turnover ratio is evident in the final phase, rising from 7.78 to 11.92. This acceleration occurs despite a continuous increase in the cost of revenue, which reached 2,111 million by June 2026. The simultaneous decline in accounts payable from 881 million in June 2025 to 680 million in June 2026 indicates a strategic shift toward more rapid settlement of supplier obligations.
Correlation Between Costs and Liabilities
While the cost of revenue demonstrated a general growth trajectory over the entire period, accounts payable did not follow a linear path. The divergence between these two metrics drove the fluctuations in the turnover ratio, highlighting a transition from a period of liability accumulation (2022-2023) to a period of liability reduction and accelerated turnover (2025-2026).

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Working Capital Turnover

Texas Instruments Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Current assets 15,757 13,796 13,750 13,876 14,484 13,086 15,026 15,872 16,789 17,448 15,122 15,097 15,514 15,023 14,021 13,772 13,043 14,010
Less: Current liabilities 3,244 3,096 3,159 3,118 2,492 2,489 3,643 3,686 3,637 3,553 3,320 2,652 2,711 2,904 2,985 2,798 2,560 2,528
Working capital 12,513 10,700 10,591 10,758 11,992 10,597 11,383 12,186 13,152 13,895 11,802 12,445 12,803 12,119 11,036 10,974 10,483 11,482
 
Revenue 5,463 4,825 4,423 4,742 4,448 4,069 4,007 4,151 3,822 3,661 4,077 4,532 4,531 4,379 4,670 5,241 5,212 4,905
Short-term Activity Ratio
Working capital turnover1 1.55 1.72 1.67 1.60 1.39 1.51 1.37 1.29 1.22 1.21 1.48 1.46 1.47 1.61 1.81 1.84 1.87 1.65
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc. 2.12 2.07 1.98 2.09 2.02 2.00 2.19 2.16 2.07 2.15 2.25 2.44 2.45 2.54 2.73 2.95 2.72 2.42
Analog Devices Inc. 3.80 3.59 2.85 2.63 3.39 3.38 3.78 4.38 5.52 7.75 10.40 6.41 6.13 4.61 4.81 4.94 4.23 3.50
Applied Materials Inc. 2.14 2.12 2.20 2.42 2.40 2.13 2.13 2.00 2.14 2.19 2.25 2.49 2.69 2.77 3.02 2.93 2.89 2.56
Broadcom Inc. 3.23 4.49 4.89 7.23 36.01 681.61 17.80 64.48 8.31 5.70 2.66 3.23 3.38 3.03 2.90 3.58 3.80 3.15
Intel Corp. 2.65 1.52 1.65 2.75 6.31 5.33 4.55 4.94 2.93 3.59 3.56 3.48 3.34 2.70 3.45 3.24 3.14 2.34
KLA Corp. 1.75 1.83 1.84 1.91 1.93 1.89 1.83 1.89 2.31 2.20 2.27 2.31 2.25 2.19 2.14 2.30 2.08 2.06
Lam Research Corp. 2.63 2.42 2.32 2.15 1.96 1.91 1.74 1.77 1.63 1.81 1.93 2.03 2.08 2.10 2.23 2.18 2.01 2.04
Marvell Technology Inc. 3.42 7.25 5.27 5.10 4.34 4.53 4.41 5.03 68.52 40.95 6.62 7.70 7.27 4.86 4.04 3.89 4.19 4.27
Micron Technology Inc. 2.14 2.40 2.15 1.90 1.86 1.88 1.66 1.30 1.07 1.07 0.94 1.09 1.39 1.66 2.16 2.06 2.14 2.17
NVIDIA Corp. 2.12 2.34 2.10 2.21 2.11 2.07 1.81 1.90 1.77 1.47 1.63 1.75 1.50 1.23 1.10 1.09 1.03 1.36
Qualcomm Inc. 3.33 3.03 2.67 2.53 2.56 2.53 2.65 2.75 2.41 2.54 2.79 3.21 3.66 3.90 4.99 5.88 4.80 4.53

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Working capital turnover = (RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025) ÷ Working capital
= (5,463 + 4,825 + 4,423 + 4,742) ÷ 12,513 = 1.55

2 Click competitor name to see calculations.


The efficiency of working capital utilization exhibits a cyclical pattern characterized by a significant contraction in turnover followed by a sustained recovery and a subsequent correction.

Revenue and Working Capital Divergence
From early 2022 through early 2024, a period of declining operational efficiency is observed. Revenue decreased from 4,905 million in March 2022 to a low of 3,661 million in March 2024. During this same period, working capital increased, reaching a peak of 13,895 million in March 2024. This inverse relationship resulted in the working capital turnover ratio falling from 1.65 to its lowest point of 1.21.
Operational Recovery Phase
A recovery in asset productivity began in mid-2024. As revenues trended upward, climbing toward a peak of 5,463 million by June 2026, working capital was reduced from its 2024 highs. This combination of increased sales volume and leaner working capital led to a steady improvement in the turnover ratio, which climbed from 1.22 in June 2024 to 1.72 by March 2026.
Recent Performance Volatility
The most recent period reflects a moderate decline in turnover efficiency, with the ratio dropping to 1.55 in June 2026. Although revenue reached its highest recorded level of 5,463 million in that quarter, the ratio was suppressed by a significant increase in working capital to 12,513 million, suggesting a strategic increase in short-term assets or a buildup of inventory to support higher sales volumes.

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Average Inventory Processing Period

Texas Instruments Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Inventory turnover 1.76 1.68 1.58 1.52 1.45 1.44 1.45 1.51 1.59 1.60 1.63 1.65 1.70 1.92 2.27 2.56 2.74 2.88
Short-term Activity Ratio (no. days)
Average inventory processing period1 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc. 160 158 165 161 157 169 160 156 149 140 130 133 135 120 106 101 86 91
Analog Devices Inc. 149 148 142 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100
Applied Materials Inc. 156 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131
Broadcom Inc. 66 49 40 40 38 36 34 41 45 55 62 60 61 61 63 62 57 53
Intel Corp. 130 131 123 122 111 124 125 124 127 130 125 128 131 136 133 126 121 123
KLA Corp. 245 248 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211
Lam Research Corp. 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Marvell Technology Inc. 96 106 111 97 101 98 98 107 120 125 133 123 123 114 110 108 90 129
Micron Technology Inc. 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
NVIDIA Corp. 110 93 113 102 105 109 116 129 136 149 162 135 121 112 101 94 97 100
Qualcomm Inc. 134 121 121 121 121 128 137 133 138 141 148 144 140 138 124 112 102 93

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.76 = 207

2 Click competitor name to see calculations.


The operational efficiency regarding inventory management exhibited a cyclical pattern characterized by a prolonged period of deterioration followed by a gradual recovery phase between March 2022 and June 2026.

Inventory Turnover Trend
A consistent decline in the inventory turnover ratio was observed from March 2022, where the ratio stood at 2.88, reaching a trough of 1.44 by March 2025. This contraction indicates a significant slowing in the rate at which inventory was sold and replaced. However, a recovery trend emerged starting in June 2025, with the ratio climbing steadily to 1.76 by June 2026, suggesting an improvement in sales velocity or more effective inventory control.
Average Inventory Processing Period Analysis
The average inventory processing period mirrored the turnover trend, showing a substantial expansion from 127 days in March 2022 to a peak of 254 days in March 2025. This indicates that the duration required to convert inventory into sales nearly doubled over this three-year span, pointing to increased capital tie-up in stock. Following the March 2025 peak, a consistent reduction in the processing period occurred, descending to 207 days by June 2026.
Operational Efficiency Correlation
The inverse relationship between the turnover ratio and the processing period remained constant throughout the period. The most critical phase of inefficiency occurred between March 2024 and March 2025, where the processing period remained above 220 days and turnover ratios stayed below 1.60. The subsequent turnaround starting in mid-2025 reflects a positive shift in operating activity, though the processing period remained significantly higher than the baseline levels observed in early 2022.

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Average Receivable Collection Period

Texas Instruments Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Receivables turnover 7.72 8.21 9.01 8.37 8.62 8.63 9.10 8.44 9.41 10.05 9.80 9.17 9.62 10.39 10.57 9.90 8.95 10.56
Short-term Activity Ratio (no. days)
Average receivable collection period1 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc. 64 59 67 71 63 72 88 109 90 81 87 83 72 64 64 69 69 71
Analog Devices Inc. 59 42 48 55 51 47 52 42 35 38 44 46 46 47 55 57 60 71
Applied Materials Inc. 80 64 67 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67
Broadcom Inc. 52 45 41 40 36 33 31 36 47 47 32 30 32 34 33 31 38 33
Intel Corp. 26 28 27 22 16 21 24 21 21 22 23 20 20 25 24 39 30 33
KLA Corp. 59 66 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72
Lam Research Corp. 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Marvell Technology Inc. 73 64 65 68 73 60 74 81 79 63 74 87 85 86 86 91 83 82
Micron Technology Inc. 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65
NVIDIA Corp. 61 54 65 57 54 57 60 68 79 58 52 63 65 67 63 59 60 57

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 7.72 = 47

2 Click competitor name to see calculations.


An examination of short-term operating activity reveals a consistent deterioration in the efficiency of receivable collections over the period from March 2022 to June 2026. There is a clear inverse correlation between the receivables turnover ratio and the average receivable collection period, indicating a slowing conversion of credit sales into cash.

Receivables Turnover Trends
The turnover ratio exhibits a long-term downward trajectory. Starting at 10.56 in March 2022, the ratio maintained relative stability through December 2022, peaking at 10.57. Subsequently, a gradual decline is observed, with the ratio falling to 7.72 by June 2026. This decline indicates that the company is cycling through its accounts receivable less frequently than in previous years.
Average Receivable Collection Period Analysis
The collection period demonstrates a corresponding upward trend, reflecting an increase in the time required to collect outstanding payments. Between March 2022 and March 2023, the collection period fluctuated within a narrow range of 35 to 41 days. A more pronounced increase began in early 2024, with the period rising from 36 days in March 2024 to a peak of 47 days by June 2026.
Operational Implications
The expansion of the collection period by 12 days over the analyzed timeframe suggests a reduction in credit collection efficiency or a deliberate shift toward more lenient credit terms offered to customers. The sustained increase in the collection period through 2025 and 2026 implies that a larger portion of working capital is tied up in receivables, which may place additional pressure on short-term liquidity management.

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Operating Cycle

Texas Instruments Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Average inventory processing period 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Average receivable collection period 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Short-term Activity Ratio
Operating cycle1 254 262 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc. 224 217 232 232 220 241 248 265 239 221 217 216 207 184 170 170 155 162
Analog Devices Inc. 208 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171
Applied Materials Inc. 236 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198
Broadcom Inc. 118 94 81 80 74 69 65 77 92 102 94 90 93 95 96 93 95 86
Intel Corp. 156 159 150 144 127 145 149 145 148 152 148 148 151 161 157 165 151 156
KLA Corp. 304 314 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283
Lam Research Corp. 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
Marvell Technology Inc. 169 170 176 165 174 158 172 188 199 188 207 210 208 200 196 199 173 211
Micron Technology Inc. 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166
NVIDIA Corp. 171 147 178 159 159 166 176 197 215 207 214 198 186 179 164 153 157 157

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 207 + 47 = 254

2 Click competitor name to see calculations.


The operating cycle exhibits a significant expansionary phase from the first quarter of 2022 through the first quarter of 2025, followed by a gradual contraction. The total cycle duration increased from 162 days to a peak of 296 days, representing a substantial extension in the time required to convert initial investments in inventory back into cash.

Average Inventory Processing Period
A prolonged upward trend is observed in the inventory processing period, which grew from 127 days in March 2022 to a peak of 254 days in March 2025. This suggests a significant accumulation of stock or a deceleration in inventory turnover over this three-year period. Following the peak in early 2025, a corrective trend began, with the period declining to 207 days by June 2026.
Average Receivable Collection Period
The collection period remained relatively stable in comparison to inventory metrics, although a gradual increase is noted. Starting at 35 days in March 2022, the period fluctuated within a tight range before trending upward to 47 days by June 2026. This indicates a slight deceleration in the efficiency of cash recovery from customers over the long term.
Operating Cycle Dynamics
The expansion of the operating cycle was driven almost exclusively by the inventory processing period. The peak cycle length of 296 days occurred in March 2025, closely mirroring the peak in inventory holding times. The subsequent reduction of the cycle to 254 days by June 2026 is attributed to the decrease in inventory processing days, which offset the continuing marginal increase in the receivable collection period.

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Average Payables Payment Period

Texas Instruments Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Payables turnover 11.92 12.33 10.05 9.42 7.94 7.78 7.98 8.19 7.62 11.89 8.10 9.03 6.87 6.63 7.35 7.89 8.46 9.27
Short-term Activity Ratio (no. days)
Average payables payment period1 31 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc. 101 59 61 77 73 58 69 87 63 56 72 77 92 81 83 82 61 63
Analog Devices Inc. 48 46 47 43 39 34 44 38 37 33 41 48 47 45 47 43 41 45
Broadcom Inc. 36 35 28 26 24 36 32 38 35 43 40 32 27 30 33 24 37 37
Intel Corp. 91 75 105 109 104 110 128 114 109 97 96 97 96 85 97 70 79 74
KLA Corp. 32 32 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47
Lam Research Corp. 36 32 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36
Marvell Technology Inc. 56 56 67 60 56 38 47 48 49 47 58 61 66 75 70 76 73 73
NVIDIA Corp. 66 60 71 71 58 50 59 64 61 37 37 45 75 71 69 70 68 61
Qualcomm Inc. 54 49 52 44 48 53 55 57 52 49 44 38 29 51 74 77 83 85

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 11.92 = 31

2 Click competitor name to see calculations.


An analysis of the operating activity ratios reveals a cyclical and fluctuating trend in the management of accounts payable. The average payables payment period exhibited significant variance over the observed timeframe, characterized by an initial extension of credit terms, a period of high volatility, and a concluding trend toward accelerated payments.

Expansion Phase (March 2022 – March 2023)
A steady increase in the average payables payment period is observed, rising from 39 days in March 2022 to a peak of 55 days by March 2023. This period is characterized by a corresponding decline in the payables turnover ratio, which dropped from 9.27 to 6.63, indicating a strategic shift toward extending the duration of supplier obligations to optimize short-term liquidity.
Volatility and Adjustment (June 2023 – June 2024)
The payment cycle entered a phase of instability starting in mid-2023. A sharp contraction occurred by September 2023, with the payment period falling to 40 days, reaching a temporary low of 31 days in March 2024. This was followed by a sudden increase to 48 days in June 2024, suggesting erratic adjustments in working capital management or fluctuations in supplier credit terms.
Stabilization and Final Contraction (September 2024 – June 2026)
Between September 2024 and June 2025, the payment period remained relatively stable, fluctuating narrowly between 45 and 47 days. This stability was followed by a consistent downward trend, with the period decreasing to 30 days by March 2026. During this final phase, the payables turnover ratio climbed to its maximum value of 12.33, reflecting a transition toward a more aggressive payment schedule and a reduction in the reliance on supplier financing.

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Cash Conversion Cycle

Texas Instruments Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Average inventory processing period 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Average receivable collection period 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Average payables payment period 31 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39
Short-term Activity Ratio
Cash conversion cycle1 223 232 236 245 247 249 246 239 220 233 217 222 200 170 146 134 131 123
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc. 123 158 171 155 147 183 179 178 176 165 145 139 115 103 87 88 94 99
Analog Devices Inc. 160 144 143 153 149 148 139 131 126 136 138 138 135 131 122 110 116 126
Broadcom Inc. 82 59 53 54 50 33 33 39 57 59 54 58 66 65 63 69 58 49
Intel Corp. 65 84 45 35 23 35 21 31 39 55 52 51 55 76 60 95 72 82
KLA Corp. 272 282 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236
Lam Research Corp. 169 187 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167
Marvell Technology Inc. 113 114 109 105 118 120 125 140 150 141 149 149 142 125 126 123 100 138
NVIDIA Corp. 105 87 107 88 101 116 117 133 154 170 177 153 111 108 95 83 89 96

Based on: 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q2 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 207 + 4731 = 223

2 Click competitor name to see calculations.


The Cash Conversion Cycle (CCC) exhibited a pronounced expansionary trend over the analyzed period, nearly doubling from 123 days in March 2022 to a peak of 249 days in March 2025. This expansion indicates a significant increase in the time required to convert resource inputs into cash flows from sales, primarily driven by substantial increases in inventory holdings.

Average Inventory Processing Period
The primary driver of the CCC was the average inventory processing period, which rose steadily from 127 days in March 2022 to a peak of 254 days in March 2025. This trend suggests a prolonged period of inventory accumulation or a decrease in sales velocity. A gradual reduction is observed starting in June 2025, with the period declining to 207 days by June 2026, although it remains substantially higher than the initial baseline.
Average Receivable Collection Period
The average receivable collection period remained relatively stable for the majority of the period, though a gradual upward drift is observable toward the end of the sequence. This metric increased from a low of 35 days in early 2022 to 47 days by June 2026, indicating a slight slowing in the efficiency of customer payment collections.
Average Payables Payment Period
The average payables payment period demonstrated significant volatility, peaking at 55 days in March 2023 before experiencing a general downward trend. By June 2026, this period decreased to 31 days. The contraction of the payables period exerted upward pressure on the CCC, as the company reduced its reliance on supplier credit to finance operating activities.
Cash Conversion Cycle Integration
The overall CCC movements closely mirrored the fluctuations in inventory processing. Following the peak of 249 days in March 2025, the cycle entered a moderate contraction phase, ending at 223 days in June 2026. The convergence of increasing inventory residence times, slightly slower receivable collections, and a reduced payables period resulted in a significantly longer cash cycle compared to the beginning of the observed period.

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