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Texas Instruments Inc. (NASDAQ:TXN)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

Texas Instruments Inc., 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 1.77 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 7.93 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 9.86 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 1.50 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 207 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Add: Average receivable collection period 46 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Operating cycle 253 254 262 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162
Less: Average payables payment period 37 31 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39
Cash conversion cycle 216 223 232 236 245 247 249 246 239 220 233 217 222 200 170 146 134 131 123

Based on: 10-Q (reporting date: 2026-09-30), 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 significant expansion in the operational cycle and a corresponding decrease in efficiency over the analyzed period, with a peak in capital tie-up occurring in early 2025 followed by a gradual recovery.

Inventory Management and Processing
A pronounced decline in inventory turnover is observed, falling from 2.88 in March 2022 to a trough of 1.44 in March 2025. This trend is mirrored by the average inventory processing period, which more than doubled from 127 days to a peak of 254 days. While a recovery trend began in mid-2025, with turnover improving to 1.77 and the processing period shortening to 207 days by September 2026, the efficiency remains substantially lower than the 2022 baseline.
Receivables and Collection Efficiency
Receivables turnover exhibited a gradual downward trajectory, decreasing from 10.56 to 7.93. This suggests a slowing of credit recovery, as the average receivable collection period extended from 35 days in early 2022 to 46 days by September 2026. The increase in collection time indicates a slight deterioration in the efficiency of the credit-to-cash process.
Payables and Working Capital Dynamics
Payables turnover demonstrated significant volatility, peaking at 11.89 in March 2024 before stabilizing around 9.86. The average payables payment period fluctuated between a high of 55 days in March 2023 and a low of 30 days in March 2026, reflecting inconsistent supplier payment strategies. Working capital turnover followed a U-shaped pattern, declining from 1.65 to 1.21 by March 2024 before recovering to 1.50 by the end of the period.
Overall Operating and Cash Conversion Cycles
The operating cycle expanded dramatically from 162 days in March 2022 to a peak of 296 days in March 2025, driven primarily by the surge in inventory processing time. Consequently, the cash conversion cycle experienced a similar surge, increasing from 123 days to a peak of 249 days. Although the cash conversion cycle contracted to 216 days by September 2026, the duration for which working capital remains locked in the operating process has increased significantly compared to the initial reporting period.

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Inventory Turnover

Texas Instruments Inc., 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 of revenue (COR) 2,168 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 4,672 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 1.77 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. 2.46 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. 2.38 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. 6.15 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. 2.75 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. 1.47 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. 2.71 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. 3.79 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. 2.89 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. 2.83 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. 2.41 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: 2026-09-30), 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 = (Cost of revenue (COR)Q3 2026 + Cost of revenue (COR)Q2 2026 + Cost of revenue (COR)Q1 2026 + Cost of revenue (COR)Q4 2025) ÷ Inventories
= (2,168 + 2,111 + 2,026 + 1,951) ÷ 4,672 = 1.77

2 Click competitor name to see calculations.


The analyzed period from March 2022 through September 2026 reveals a significant cyclical shift in inventory management, characterized by an initial phase of aggressive inventory accumulation followed by a period of gradual efficiency recovery.

Inventory Volume and Accumulation
Inventories experienced a substantial and consistent increase for the majority of the period, rising from 2,060 million US$ in March 2022 to a peak of 4,829 million US$ in September 2025. This expansion represents a more than twofold increase in stock levels over three and a half years. After the September 2025 peak, inventory levels began a slight contraction, ending at 4,672 million US$ in September 2026.
Cost of Revenue Trajectory
The cost of revenue exhibited a general upward trend, moving from 1,463 million US$ in March 2022 to 2,168 million US$ by September 2026. While the cost of revenue grew, the rate of increase was notably slower than the growth of inventories during the first half of the analyzed period, contributing to a decline in operational efficiency.
Inventory Turnover Performance
The inventory turnover ratio demonstrates a clear U-shaped pattern. A steady decline is observed from a high of 2.88 in March 2022 to a minimum of 1.44 in March 2024, indicating a period where inventory was building up significantly faster than it was being consumed or sold. Following this trough, a gradual recovery phase occurred, with the ratio improving to 1.77 by September 2026. This recovery coincides with the stabilization and subsequent slight reduction of inventory levels paired with rising costs of revenue.
Operational Efficiency Insights
The divergence between inventory growth and the cost of revenue between 2022 and early 2024 suggests a period of overstocking or a significant slowdown in demand relative to production. The subsequent rise in the turnover ratio from mid-2024 onward indicates an improvement in asset utilization and a more effective alignment between inventory levels and revenue generation.

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Receivables Turnover

Texas Instruments Inc., 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 6,055 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 2,620 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 7.93 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. 5.81 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. 4.01 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. 6.50 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. 14.63 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. 5.68 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. 5.25 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. 5.04 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. 2.91 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. 5.60 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: 2026-09-30), 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) ÷ Accounts receivable, net of allowances
= (6,055 + 5,463 + 4,825 + 4,423) ÷ 2,620 = 7.93

2 Click competitor name to see calculations.


The analysis of receivables turnover from March 2022 through September 2026 reveals a general decline in the efficiency of credit collection, occurring alongside a significant volatility and subsequent recovery in quarterly revenue.

Revenue Trends and Volatility
Revenue exhibited a cyclical pattern, beginning with a peak of 5,241 million USD in September 2022, followed by a sustained contraction that reached a trough of 3,661 million USD by March 2024. Following this period, a strong recovery phase is evident, with revenue climbing steadily to reach 6,055 million USD by September 2026. This indicates a substantial expansion in sales volume toward the end of the analyzed period.
Accounts Receivable Dynamics
Net accounts receivable remained relatively stable between 1,671 million USD and 2,190 million USD from March 2022 through December 2024. However, a marked increase is observed starting in March 2026, where balances rose from 2,245 million USD to 2,620 million USD by September 2026. This growth in receivables outpaced the growth in revenue during the final three quarters, suggesting a lengthening of the collection cycle.
Receivables Turnover Efficiency
The receivables turnover ratio shows a long-term downward trajectory. The ratio peaked at 10.57 in December 2022 and remained largely above 9.0 throughout 2023. A shift occurred in 2024 and 2025, with the ratio consistently falling into the 8.0 range. The lowest efficiency was recorded in June 2026 at 7.72, before a slight recovery to 7.93 in September 2026.
Correlation Between Growth and Collection
An inverse relationship is observed between the recent surge in revenue and the turnover ratio. As revenue accelerated from 4,069 million USD in March 2025 to 6,055 million USD in September 2026, the turnover ratio generally declined. This pattern suggests that the increase in sales may have been supported by more liberal credit terms or a slower collection process, resulting in a higher proportion of sales remaining in receivables at the end of each period.

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Payables Turnover

Texas Instruments Inc., 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 of revenue (COR) 2,168 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 837 680 638 756 779 881 866 820 794 858 551 802 713 923 952 851 780 712 641
Short-term Activity Ratio
Payables turnover1 9.86 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. 6.96 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. 6.96 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. 4.08 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. 9.80 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. 10.12 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. 6.06 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. 6.50 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. 6.96 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: 2026-09-30), 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 = (Cost of revenue (COR)Q3 2026 + Cost of revenue (COR)Q2 2026 + Cost of revenue (COR)Q1 2026 + Cost of revenue (COR)Q4 2025) ÷ Accounts payable
= (2,168 + 2,111 + 2,026 + 1,951) ÷ 837 = 9.86

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a dynamic relationship between the cost of revenue and accounts payable, resulting in a fluctuating payables turnover ratio over the observed period. While the cost of revenue exhibits a consistent long-term upward trajectory, increasing from 1,463 million USD in March 2022 to 2,168 million USD by September 2026, accounts payable have demonstrated significant volatility, directly influencing the efficiency of supplier payments.

Initial Deceleration Phase (March 2022 – March 2023)
A steady decline in the payables turnover ratio is observed during this period, falling from 9.27 to a low of 6.63. This downward trend coincided with a consistent increase in accounts payable, which rose from 641 million USD to 952 million USD. This pattern indicates a strategic or operational shift toward extending payment terms with suppliers, effectively slowing the turnover of payables.
Volatility and Correction Phase (June 2023 – December 2024)
The turnover ratio entered a period of high volatility, characterized by a sharp spike to 11.89 in March 2024. This peak was primarily driven by a substantial reduction in accounts payable to 551 million USD, the lowest level in the analyzed timeframe. Following this correction, the ratio stabilized between 7.62 and 8.19 throughout the remainder of 2024, suggesting a return to a more normalized payment cycle relative to the cost of revenue.
Acceleration Phase (March 2025 – September 2026)
A general trend of acceleration in payables turnover is evident starting in 2025, with the ratio reaching a peak of 12.33 in March 2026. This increase suggests a more rapid settlement of obligations to suppliers. Despite a slight moderation to 9.86 by September 2026, the overall trend indicates a higher velocity of payment compared to the 2022-2023 period, even as the cost of revenue continued to climb toward 2,168 million USD.

Overall, the data indicates that the company has transitioned from a period of expanding its payables balance in 2022 to a more aggressive payment posture by 2026. The divergence between the steadily rising cost of revenue and the fluctuating accounts payable balances highlights an active management of short-term liabilities.

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Working Capital Turnover

Texas Instruments Inc., 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 16,880 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 3,017 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 13,863 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 6,055 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 1.50 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. 9.80 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. 2.09 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. 2.84 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. 1.33 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. 1.72 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. 2.69 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. 2.81 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. 1.91 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. 2.07 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. 3.80 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: 2026-09-30), 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
= (6,055 + 5,463 + 4,825 + 4,423) ÷ 13,863 = 1.50

2 Click competitor name to see calculations.


The analysis of operating activity from March 2022 through September 2026 reveals a cyclical pattern in working capital efficiency, characterized by a period of contraction followed by a sustained recovery in revenue generation relative to short-term assets and liabilities.

Working Capital Trends
Working capital exhibited significant volatility throughout the period. An initial increase is observed from March 2022, peaking at 13,895 million USD in March 2024. Following this peak, a downward trend occurred, reaching a low of 10,591 million USD by December 2025, before rising again to 13,863 million USD by September 2026. These fluctuations indicate shifting requirements in short-term liquidity and resource allocation.
Revenue Performance
Revenue patterns show a distinct U-shaped trajectory. Highs were recorded in late 2022, followed by a consistent decline that reached a trough of 3,661 million USD in March 2024. Subsequent to this low point, a strong recovery phase is evident, with revenue growing steadily to reach a period high of 6,055 million USD by September 2026.
Working Capital Turnover Efficiency
The working capital turnover ratio reflects the impact of the inverse relationship between revenue and working capital levels. Efficiency remained relatively strong in 2022, with ratios ranging between 1.65 and 1.87. A marked deterioration in efficiency occurred between March 2023 and March 2024, where the ratio fell to a minimum of 1.21. This decline coincides with the period of lowest revenue and peak working capital, suggesting an underutilization of short-term assets during the downturn.
Recovery and Stabilization
A recovery in operational efficiency began in mid-2024, with the turnover ratio climbing steadily to 1.72 by March 2026. This improvement is primarily driven by the aggressive growth in revenue that outpaced the growth in working capital. A slight moderation in the ratio to 1.50 is noted in the final two quarters of the sequence, corresponding with a rise in working capital toward the end of the analyzed period.

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Average Inventory Processing Period

Texas Instruments Inc., 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 1.77 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 207 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
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. 148 149 148 142 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100
Applied Materials Inc. 154 156 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131
Broadcom Inc. 59 66 49 40 40 38 36 34 41 45 55 62 60 61 61 63 62 57 53
Intel Corp. 133 130 131 123 122 111 124 125 124 127 130 125 128 131 136 133 126 121 123
KLA Corp. 248 245 248 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211
Lam Research Corp. 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Marvell Technology Inc. 96 96 106 111 97 101 98 98 107 120 125 133 123 123 114 110 108 90 129
Micron Technology Inc. 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
NVIDIA Corp. 129 110 93 113 102 105 109 116 129 136 149 162 135 121 112 101 94 97 100
Qualcomm Inc. 152 134 121 121 121 121 128 137 133 138 141 148 144 140 138 124 112 102 93

Based on: 10-Q (reporting date: 2026-09-30), 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 ÷ 1.77 = 207

2 Click competitor name to see calculations.


The analyzed period reveals a significant cyclical movement in inventory management efficiency, characterized by a prolonged phase of increasing inventory residence times followed by a gradual recovery in turnover velocity.

Inventory Turnover Trends
A consistent decline in the inventory turnover ratio is observed from March 2022, where it stood at 2.88, reaching a low of 1.44 by March 2025. This downward trajectory indicates a reduction in the frequency with which inventory was sold and replaced over a three-year period. However, a reversal is noted starting in June 2025, with the ratio steadily climbing to 1.77 by September 2026, signaling a recovery in operational efficiency.
Average Inventory Processing Period Analysis
The processing period exhibits a direct inverse relationship with turnover rates, increasing from 127 days in March 2022 to a peak of 254 days in March 2025. This expansion represents a nearly 100% increase in the time required to convert inventory into sales. Following this peak, the processing period begins a steady contraction, descending to 207 days by September 2026.
Operational Implications
The data indicates a period of substantial inventory accumulation or a slowing of demand between early 2022 and early 2025, which constrained the liquidity of current assets. The subsequent trend from mid-2025 through 2026 suggests a successful optimization of inventory levels or a revitalization of market demand, leading to a more streamlined operating cycle.

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Average Receivable Collection Period

Texas Instruments Inc., 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 7.93 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 46 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. 63 59 42 48 55 51 47 52 42 35 38 44 46 46 47 55 57 60 71
Applied Materials Inc. 91 80 64 67 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67
Broadcom Inc. 56 52 45 41 40 36 33 31 36 47 47 32 30 32 34 33 31 38 33
Intel Corp. 25 26 28 27 22 16 21 24 21 21 22 23 20 20 25 24 39 30 33
KLA Corp. 64 59 66 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72
Lam Research Corp. 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Marvell Technology Inc. 72 73 64 65 68 73 60 74 81 79 63 74 87 85 86 86 91 83 82
Micron Technology Inc. 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65
NVIDIA Corp. 65 61 54 65 57 54 57 60 68 79 58 52 63 65 67 63 59 60 57

Based on: 10-Q (reporting date: 2026-09-30), 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 ÷ 7.93 = 46

2 Click competitor name to see calculations.


An analysis of the short-term operating activity indicates a gradual decline in the efficiency of receivable collections over the period from March 31, 2022, to September 30, 2026. There is a clear inverse correlation between the receivables turnover ratio and the average collection period, reflecting a systemic slowing in the conversion of credit sales into cash.

Receivables Turnover Trend
The receivables turnover ratio exhibited a general downward trajectory, starting at a peak of 10.56 in March 2022 and ending at 7.93 by September 2026. While the ratio remained relatively stable above 9.00 throughout much of 2022 and 2023, a more pronounced decline began in 2024, eventually dropping to a period low of 7.72 in June 2026. This reduction suggests a decrease in the frequency with which the company collects its average receivable balance during each operating cycle.
Average Receivable Collection Period
The average collection period demonstrates a corresponding increase, moving from 35 days in early 2022 to 46 days by September 2026. The collection cycle remained largely consistent between 35 and 41 days through 2023. However, from March 2024 onward, the period consistently stayed at or above 40 days, reaching a maximum of 47 days in June 2026. This represents an expansion of the cash conversion cycle by approximately 31% over the analyzed timeframe.
Operational Implications
The simultaneous decline in turnover and the extension of the collection period indicate a shift in credit management or customer payment behavior. The transition from a 35-day cycle to a 46-day cycle implies that capital is tied up in receivables for a longer duration, which may impact short-term liquidity and increase the company's exposure to credit risk over time.

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Operating Cycle

Texas Instruments Inc., 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 207 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Average receivable collection period 46 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Short-term Activity Ratio
Operating cycle1 253 254 262 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162
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. 211 208 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171
Applied Materials Inc. 245 236 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198
Broadcom Inc. 115 118 94 81 80 74 69 65 77 92 102 94 90 93 95 96 93 95 86
Intel Corp. 158 156 159 150 144 127 145 149 145 148 152 148 148 151 161 157 165 151 156
KLA Corp. 312 304 314 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283
Lam Research Corp. 205 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
Marvell Technology Inc. 168 169 170 176 165 174 158 172 188 199 188 207 210 208 200 196 199 173 211
Micron Technology Inc. 251 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166
NVIDIA Corp. 194 171 147 178 159 159 166 176 197 215 207 214 198 186 179 164 153 157 157

Based on: 10-Q (reporting date: 2026-09-30), 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
= 207 + 46 = 253

2 Click competitor name to see calculations.


The operating cycle exhibits a significant expansion phase from early 2022, peaking in the first quarter of 2025, followed by a period of gradual contraction. This trajectory is primarily driven by substantial fluctuations in inventory management, while the collection of receivables remained relatively stable throughout the observed period.

Average Inventory Processing Period
A prolonged upward trend is observed from March 2022, where the period stood at 127 days, increasing steadily to a peak of 254 days by March 2025. This represents a nearly twofold increase in the time required to process inventory. Following this peak, a consistent decline is noted, with the period retreating to 207 days by September 2026, suggesting a phase of inventory optimization or a reduction in stockpiling.
Average Receivable Collection Period
The collection period demonstrates relative stability with a slight upward drift. Starting at 35 days in March 2022, the metric fluctuated within a narrow band before trending slightly higher toward the end of the period, reaching 46 to 47 days by mid-2026. This indicates a marginal deceleration in the speed of cash recovery from customers, though the impact is minimal compared to inventory shifts.
Operating Cycle
The total operating cycle mirrors the movements of the inventory processing period. The cycle expanded from 162 days in March 2022 to a maximum of 296 days in March 2025. The subsequent contraction to 253 days by September 2026 confirms that the overall efficiency of the operating cycle is heavily sensitive to inventory turnover rates rather than changes in credit and collection policies.

The correlation between the inventory processing period and the total operating cycle is nearly absolute, indicating that working capital tied up in operations was predominantly impacted by inventory levels. The late-period reduction in the operating cycle suggests an improvement in operational efficiency or a strategic shift in supply chain management.

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Average Payables Payment Period

Texas Instruments Inc., 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 9.86 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 37 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. 52 48 46 47 43 39 34 44 38 37 33 41 48 47 45 47 43 41 45
Broadcom Inc. 52 36 35 28 26 24 36 32 38 35 43 40 32 27 30 33 24 37 37
Intel Corp. 90 91 75 105 109 104 110 128 114 109 97 96 97 96 85 97 70 79 74
KLA Corp. 37 32 32 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47
Lam Research Corp. 36 36 32 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36
Marvell Technology Inc. 60 56 56 67 60 56 38 47 48 49 47 58 61 66 75 70 76 73 73
NVIDIA Corp. 56 66 60 71 71 58 50 59 64 61 37 37 45 75 71 69 70 68 61
Qualcomm Inc. 52 54 49 52 44 48 53 55 57 52 49 44 38 29 51 74 77 83 85

Based on: 10-Q (reporting date: 2026-09-30), 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 ÷ 9.86 = 37

2 Click competitor name to see calculations.


The average payables payment period exhibits a cyclical and volatile pattern over the analyzed period, fluctuating between a minimum of 30 days and a maximum of 55 days. This variability indicates shifting strategies in working capital management and varying terms of settlement with suppliers.

Initial Extension Phase (March 2022 – March 2023)
A consistent upward trend in the payment period is observed, rising from 39 days in March 2022 to a peak of 55 days by March 2023. This expansion corresponds with a decline in payables turnover, which dropped from 9.27 to 6.63 during the same interval, suggesting a strategic effort to preserve cash by extending supplier payment terms.
Contraction and Volatility (June 2023 – March 2024)
A sharp reversal occurred starting in mid-2023, with the payment period falling to 40 days in September 2023 and reaching a local minimum of 31 days by March 2024. This contraction is reflected in a significant spike in payables turnover, which reached 11.89, indicating a rapid acceleration in the settlement of obligations.
Stabilization Period (June 2024 – June 2025)
The payment cycle entered a phase of relative stability throughout 2024 and the first half of 2025. The average payment period remained concentrated between 45 and 48 days, with payables turnover fluctuating within a narrow range between 7.62 and 8.19.
Secondary Acceleration and Final Adjustment (September 2025 – September 2026)
A second pronounced decline in payment days occurred in late 2025, culminating in a period minimum of 30 days by March 2026. This period coincided with the highest recorded payables turnover of 12.33. Subsequently, the payment period began to lengthen again, reaching 37 days by September 2026, while turnover moderated to 9.86.

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Cash Conversion Cycle

Texas Instruments Inc., 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 207 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Average receivable collection period 46 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Average payables payment period 37 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 216 223 232 236 245 247 249 246 239 220 233 217 222 200 170 146 134 131 123
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. 159 160 144 143 153 149 148 139 131 126 136 138 138 135 131 122 110 116 126
Broadcom Inc. 63 82 59 53 54 50 33 33 39 57 59 54 58 66 65 63 69 58 49
Intel Corp. 68 65 84 45 35 23 35 21 31 39 55 52 51 55 76 60 95 72 82
KLA Corp. 275 272 282 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236
Lam Research Corp. 169 169 187 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167
Marvell Technology Inc. 108 113 114 109 105 118 120 125 140 150 141 149 149 142 125 126 123 100 138
NVIDIA Corp. 138 105 87 107 88 101 116 117 133 154 170 177 153 111 108 95 83 89 96

Based on: 10-Q (reporting date: 2026-09-30), 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
= 207 + 46 – 37 = 216

2 Click competitor name to see calculations.


The overall cash conversion cycle exhibits a significant expansion from early 2022 through early 2025, followed by a period of gradual contraction. The cycle lengthened from 123 days in March 2022 to a peak of 249 days in March 2025, indicating a substantial increase in the time required to convert resource inputs into cash flows.

Average Inventory Processing Period
A pronounced upward trend is observed in inventory processing, with the period increasing from 127 days in March 2022 to a peak of 254 days in March 2025. This represents the primary driver of the expanded cash conversion cycle. Following the peak, a consistent downward trend emerges, with the period reducing to 207 days by September 2026, suggesting a gradual improvement in inventory turnover or a strategic reduction in stock levels.
Average Receivable Collection Period
The collection period remains relatively stable throughout the analyzed timeframe, though a slight upward trajectory is noted. The period fluctuated between a low of 35 days and a high of 47 days. While the increase is marginal compared to inventory shifts, the move toward 46-47 days in the final quarters indicates a slight slowing in the recovery of receivables.
Average Payables Payment Period
Payment periods show volatility without a clear long-term directional trend. The period peaked at 55 days in March 2023 before experiencing a decline to 30 days by March 2026. This reduction in the payment period accelerated cash outflows to suppliers, which further contributed to the lengthening of the overall cash conversion cycle during the 2025-2026 window.
Cash Conversion Cycle Integration
The total cash conversion cycle is dominated by the inventory processing period. The expansion from 123 to 249 days reflects a period of heightened working capital intensity. The subsequent decline to 216 days by September 2026 is primarily attributable to the reduction in inventory days, as the relatively stable receivables and lower payables periods provided minimal offset to the inventory-driven volatility.

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