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
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 1.68 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 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 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 1.72 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 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Add: Average receivable collection period 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Operating cycle 262 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162
Less: Average payables payment period 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39
Cash conversion cycle 232 236 245 247 249 246 239 220 233 217 222 200 170 146 134 131 123

Based on: 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 short-term operating activity indicates a significant decline in operational efficiency between March 2022 and March 2026. The primary driver of this trend is a substantial expansion in the time required to move inventory through the system, which has profoundly extended the overall cash conversion cycle.

Inventory Management Efficiency
A consistent downward trend in inventory turnover is observed, falling from 2.88 in March 2022 to a low of 1.44 in March 2024, before a marginal recovery to 1.68 by March 2026. Correspondingly, the average inventory processing period expanded from 127 days to a peak of 254 days in March 2025. This suggests a significant buildup of stock or a slowing of sales velocity during this period.
Receivables and Collection Performance
Receivables turnover exhibits a gradual decline, moving from 10.56 in March 2022 to 8.21 by March 2026. This reduction in turnover is mirrored by an increase in the average receivable collection period, which grew from 35 days to 44 days. This indicates a slowing in the company's ability to collect payments from customers, further straining short-term liquidity.
Payables and Supplier Obligations
Payables turnover shows considerable volatility, reaching a peak of 12.33 in March 2026. The average payables payment period initially lengthened, peaking at 55 days in March 2023, but subsequently shortened to 30 days by March 2026. The shift toward faster payment of obligations has reduced the company's ability to use trade credit to offset the slowing inventory and collection cycles.
Working Capital and Operational Cycles
The operating cycle experienced a sharp increase, rising from 162 days in March 2022 to a peak of 296 days in March 2025, before settling at 262 days in March 2026. The cash conversion cycle followed a similar trajectory, expanding from 123 days to a high of 249 days in March 2025 and ending at 232 days in March 2026. This nearly two-fold increase in the cash conversion cycle highlights a significant increase in the amount of capital tied up in working operations.
Working Capital Turnover
Working capital turnover declined from 1.65 in March 2022 to a trough of 1.21 in March 2024, eventually recovering to 1.72 by March 2026. This recovery suggests that despite the extended processing cycles, the company has managed to align its working capital levels more effectively with its revenue generation toward the end of the analyzed period.

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Turnover Ratios


Average No. Days


Inventory Turnover

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

Microsoft Excel
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) 2,026 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 4,695 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 1.68 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. 2.31 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. 2.47 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. 2.41 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. 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. 2.79 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 1.48 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. 2.43 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
Micron Technology Inc. 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. 3.92 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. 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: 2026-03-31), 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 Q1 2026 Calculation
Inventory turnover = (Cost of revenue (COR)Q1 2026 + Cost of revenue (COR)Q4 2025 + Cost of revenue (COR)Q3 2025 + Cost of revenue (COR)Q2 2025) ÷ Inventories
= (2,026 + 1,951 + 2,019 + 1,873) ÷ 4,695 = 1.68

2 Click competitor name to see calculations.


A multi-year analysis of operating activity reveals a significant contraction in inventory efficiency followed by a gradual recovery phase. The inventory turnover ratio experienced a sustained downward trend from early 2022 through early 2024, subsequently stabilizing and showing signs of improvement through the first quarter of 2026.

Inventory Accumulation Patterns
Inventories grew aggressively from 2,060 million US$ in March 2022 to a peak of 4,829 million US$ in September 2025. This represents a substantial increase in held assets, with the most rapid growth occurring between March 2023 and March 2024, where levels rose from 3,288 million US$ to 4,083 million US$.
Inventory Turnover Degradation
The inventory turnover ratio declined steadily from 2.88 in March 2022 to a low of 1.44 in March 2024. This prolonged decrease indicates that the company's ability to move inventory slowed significantly relative to the cost of revenue, suggesting a period of oversupply or diminished demand during these intervals.
Cost of Revenue Correlation
The cost of revenue remained relatively stable in the 1,500 to 1,700 million US$ range for much of 2022 and 2023, while inventories continued to climb. This imbalance was the primary driver of the declining turnover ratio. However, a shift occurred in 2025 and 2026, as the cost of revenue accelerated to 2,026 million US$ by March 2026, beginning to align more closely with the elevated inventory levels.
Recovery and Stabilization Phase
A reversal in the turnover trend is observable starting in June 2024. After reaching a floor of 1.44, the ratio improved to 1.68 by March 2026. This recovery is supported by a slight contraction in total inventories, which dropped from the September 2025 peak of 4,829 million US$ to 4,695 million US$ by March 2026, coupled with rising revenue costs.

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Receivables Turnover

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

Microsoft Excel
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 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 2,245 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 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. 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. 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. 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. 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. 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. 5.50 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. 5.39 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
Micron Technology Inc. 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. 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: 2026-03-31), 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 Q1 2026 Calculation
Receivables turnover = (RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025) ÷ Accounts receivable, net of allowances
= (4,825 + 4,423 + 4,742 + 4,448) ÷ 2,245 = 8.21

2 Click competitor name to see calculations.


The analysis of receivables turnover from March 2022 through March 2026 reveals a general decline in the efficiency of credit collection and receivable management. While the ratio initially maintained strong levels above 10.0, it trended downward over the period, reaching its lowest point in the final quarter of the observed timeframe.

Receivables Turnover Trend
A consistent downward trajectory is observed in the receivables turnover ratio. Starting at 10.56 in March 2022, the ratio fluctuated but gradually decreased, ending at 8.21 by March 2026. This decline suggests that the company is taking longer to convert its accounts receivable into cash, indicating a potential shift in credit terms or a slowdown in customer payment behavior.
Revenue and Receivable Correlation
Revenue peaked in mid-2022 at approximately 5.2 billion USD, coinciding with relatively high turnover ratios. Following a contraction in revenue that bottomed out in March 2024 at 3.66 billion USD, there was a gradual recovery. However, the receivables turnover ratio did not recover in tandem with revenue. By March 2026, revenue had returned to 4.82 billion USD, yet the turnover ratio dropped to its period minimum of 8.21, suggesting that accounts receivable are growing disproportionately to sales growth.
Liquidity and Collection Efficiency
The increase in net accounts receivable toward the end of the period—reaching a peak of 2.24 billion USD in March 2026—contrasts with the diminishing turnover ratio. This pattern indicates a reduction in operational efficiency regarding the short-term credit cycle, as the company is supporting higher sales volumes with a larger balance of outstanding receivables than was required in 2022.

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Payables Turnover

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

Microsoft Excel
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) 2,026 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 638 756 779 881 866 820 794 858 551 802 713 923 952 851 780 712 641
Short-term Activity Ratio
Payables turnover1 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. 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. 7.96 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. 10.41 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. 4.85 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. 11.28 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. 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
NVIDIA Corp. 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. 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: 2026-03-31), 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 Q1 2026 Calculation
Payables turnover = (Cost of revenue (COR)Q1 2026 + Cost of revenue (COR)Q4 2025 + Cost of revenue (COR)Q3 2025 + Cost of revenue (COR)Q2 2025) ÷ Accounts payable
= (2,026 + 1,951 + 2,019 + 1,873) ÷ 638 = 12.33

2 Click competitor name to see calculations.


The payables turnover ratio exhibits significant volatility over the analyzed period, reflecting shifts in the management of short-term obligations relative to the cost of revenue. While the cost of revenue demonstrates a general upward trajectory, increasing from 1,463 million US$ in March 2022 to 2,026 million US$ by March 2026, the payables turnover does not follow a linear path, indicating fluctuating credit terms or strategic changes in payment timing.

Initial Decline and Stabilization (2022–2023)
Between March 2022 and March 2023, the turnover ratio decreased from 9.27 to 6.63. This downward trend coincided with a steady increase in accounts payable, which grew from 641 million US$ to a peak of 952 million US$ in March 2023. This pattern suggests an extension of payment cycles or an increase in the utilization of supplier credit during this timeframe.
Operational Volatility and Peak Turnover (2024)
A sharp increase in the turnover ratio occurred in March 2024, reaching 11.89. This spike is directly correlated with a significant reduction in accounts payable to 551 million US$, representing the lowest liability level in the observed period. Following this peak, the ratio stabilized between 7.62 and 8.19 through December 2024 as accounts payable levels rebounded toward 820 million US$.
Recent Acceleration in Payment Cycles (2025–2026)
A consistent upward trend in the turnover ratio is observed starting in September 2025, rising from 9.42 to a period high of 12.33 by March 2026. This acceleration occurred despite the cost of revenue reaching its peak of 2,026 million US$. The simultaneous decrease in accounts payable to 638 million US$ indicates a strategic shift toward more rapid settlement of supplier obligations and a decreased reliance on trade credit.

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Working Capital Turnover

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

Microsoft Excel
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 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 3,096 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 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 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 1.72 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. 2.07 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. 3.59 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. 2.12 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. 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. 1.52 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. 1.83 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. 2.42 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
Micron Technology Inc. 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. 2.34 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. 3.03 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: 2026-03-31), 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 Q1 2026 Calculation
Working capital turnover = (RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025) ÷ Working capital
= (4,825 + 4,423 + 4,742 + 4,448) ÷ 10,700 = 1.72

2 Click competitor name to see calculations.


The working capital turnover ratio exhibits a cyclical trajectory over the analyzed period, characterized by an initial phase of stability, a pronounced decline in efficiency, and a subsequent recovery. The ratio fluctuated from a high of 1.87 in June 2022 to a low of 1.21 in March 2024, before trending upward to end at 1.72 in March 2026.

Efficiency Decline and Resource Underutilization
A significant downturn in working capital efficiency occurred between March 2023 and March 2024. During this interval, revenue experienced a steady contraction, falling from 4,379 million to 3,661 million. Simultaneously, working capital increased, reaching a peak of 13,895 million in March 2024. This inverse relationship—decreasing sales paired with increasing short-term asset investment—led to the working capital turnover ratio dropping from 1.61 to 1.21, indicating a period of reduced operational productivity.
Operational Recovery and Capital Optimization
Starting in June 2024, a sustained recovery in turnover efficiency is observed. This trend was driven by a dual movement: a consistent increase in revenue, which rose from 3,822 million to 4,825 million by March 2026, and a strategic reduction in working capital, which declined from its peak to 10,700 million. The combination of higher sales volume and a leaner working capital base resulted in the turnover ratio climbing steadily from 1.22 to 1.72.
Correlation Analysis
The data demonstrates a strong correlation between the turnover ratio and the management of current assets relative to sales. The period of lowest efficiency coincided with the highest levels of working capital and the lowest levels of revenue. Conversely, the return toward 2022 efficiency levels was achieved through the simultaneous optimization of short-term liquidity and the restoration of revenue growth.

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Average Inventory Processing Period

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

Microsoft Excel
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 1.68 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 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. 158 165 161 157 169 160 156 149 140 130 133 135 120 106 101 86 91
Analog Devices Inc. 148 142 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100
Applied Materials Inc. 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131
Broadcom Inc. 49 40 40 38 36 34 41 45 55 62 60 61 61 63 62 57 53
Intel Corp. 131 123 122 111 124 125 124 127 130 125 128 131 136 133 126 121 123
KLA Corp. 248 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211
Lam Research Corp. 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Micron Technology Inc. 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
NVIDIA Corp. 93 113 102 105 109 116 129 136 149 162 135 121 112 101 94 97 100
Qualcomm Inc. 121 121 121 121 128 137 133 138 141 148 144 140 138 124 112 102 93

Based on: 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 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.68 = 218

2 Click competitor name to see calculations.


An examination of the inventory management metrics reveals a significant expansion in the inventory cycle followed by a period of gradual contraction. The inverse correlation between inventory turnover and the average inventory processing period is consistent throughout the observed timeframe, reflecting a period of reduced operational efficiency in inventory movement that peaked in early 2024.

Inventory Turnover Trends
A sustained downward trajectory in inventory turnover is observed from March 31, 2022, when the ratio stood at 2.88, reaching a minimum of 1.44 by March 31, 2024. This decline indicates a reduction in the frequency with which inventory was replaced during this period. Following this trough, a gradual recovery began, with the ratio climbing back to 1.68 by March 31, 2026, suggesting a slow restoration of inventory throughput.
Average Inventory Processing Period Expansion
The average inventory processing period experienced a substantial increase, rising from 127 days in March 2022 to a peak of 254 days in March 2024. This expansion represents a near-doubling of the time required to move inventory through the operating cycle, signifying an accumulation of stock and a deceleration in sales velocity relative to inventory levels.
Operational Cycle Normalization
Beginning in the second quarter of 2024, a trend of normalization emerged. The processing period peaked at 254 days and subsequently declined to 218 days by March 31, 2026. Although the processing period remains significantly higher than the 2022 baseline, the consistent quarterly reductions since June 2025 indicate improving inventory management and a more efficient conversion of stock into sales.

Overall, the data indicates a period of severe inventory buildup that spanned approximately two years, coinciding with a marked decrease in turnover efficiency. The most recent quarters show a corrective trend, characterized by a steady reduction in the days required to process inventory and a corresponding increase in turnover ratios.

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Average Receivable Collection Period

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

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

Based on: 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 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 8.21 = 44

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a gradual deceleration in the efficiency of receivables management over the period from March 2022 to March 2026.

Receivables Turnover Trends
A general downward trajectory is observed in the receivables turnover ratio. While the ratio peaked at 10.57 in December 2022, it experienced a consistent decline over the subsequent quarters, reaching its lowest point of 8.21 by March 2026. This reduction indicates a decrease in the frequency with which accounts receivable are converted into cash during the operating cycle.
Average Receivable Collection Period
The average collection period demonstrates a clear inverse correlation with the turnover ratio, showing a progressive increase in the time required to collect outstanding payments. From a baseline of 35 days observed in March 2022 and March 2023, the collection period rose to a peak of 44 days in September 2025 and March 2026. This reflects an extension of the cash conversion cycle by approximately 9 days over the total analyzed timeframe.
Pattern Analysis and Operational Insights
The data indicates a phase of relative stability between March 2022 and March 2023, where the collection period remained predominantly between 35 and 41 days. However, a more pronounced shift occurred starting in 2024, as the collection period began to consistently exceed 40 days. The trend suggests a systemic slowdown in payment receipts or a strategic shift toward more lenient credit terms granted to customers, resulting in diminished liquidity efficiency in the final quarters of the period.

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Operating Cycle

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

No. days

Microsoft Excel
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 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Average receivable collection period 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Short-term Activity Ratio
Operating cycle1 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. 217 232 232 220 241 248 265 239 221 217 216 207 184 170 170 155 162
Analog Devices Inc. 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171
Applied Materials Inc. 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198
Broadcom Inc. 94 81 80 74 69 65 77 92 102 94 90 93 95 96 93 95 86
Intel Corp. 159 150 144 127 145 149 145 148 152 148 148 151 161 157 165 151 156
KLA Corp. 314 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283
Lam Research Corp. 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
Micron Technology Inc. 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166
NVIDIA Corp. 147 178 159 159 166 176 197 215 207 214 198 186 179 164 153 157 157

Based on: 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 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 218 + 44 = 262

2 Click competitor name to see calculations.


The operating cycle underwent a significant period of expansion from early 2022 through the first quarter of 2025, followed by a gradual contraction. This trend indicates a substantial increase in the time required to convert raw materials and products into cash, primarily driven by shifts in inventory management rather than credit collection efficiency.

Average Inventory Processing Period
A prolonged upward trend is evident, with the processing period increasing from 127 days in March 2022 to a peak of 254 days in March 2025. This represents a nearly twofold increase in the duration inventory is held before sale. Beginning in June 2025, a reversal is observed, as the period steadily declined to 218 days by March 2026, suggesting a reduction in excess stock or an increase in sales velocity.
Average Receivable Collection Period
The collection period remained relatively stable throughout the analysis window. While there was a slight overall increase from 35 days in March 2022 to 44 days in March 2026, the fluctuations were minimal. The stability of this metric indicates that the organization maintained consistent credit control and collection policies despite the broader volatility in the operating cycle.
Operating Cycle
The total operating cycle rose from 162 days in March 2022 to a maximum of 296 days in March 2025. Because the receivable collection period remained steady, the expansion of the operating cycle is almost exclusively attributable to the lengthened inventory processing period. A downward trend emerged in the final three quarters of the analysis, with the cycle contracting to 262 days by March 2026.

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Average Payables Payment Period

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

Microsoft Excel
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 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 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. 59 61 77 73 58 69 87 63 56 72 77 92 81 83 82 61 63
Analog Devices Inc. 46 47 43 39 34 44 38 37 33 41 48 47 45 47 43 41 45
Broadcom Inc. 35 28 26 24 36 32 38 35 43 40 32 27 30 33 24 37 37
Intel Corp. 75 105 109 104 110 128 114 109 97 96 97 96 85 97 70 79 74
KLA Corp. 32 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47
Lam Research Corp. 32 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36
NVIDIA Corp. 60 71 71 58 50 59 64 61 37 37 45 75 71 69 70 68 61
Qualcomm Inc. 49 52 44 48 53 55 57 52 49 44 38 29 51 74 77 83 85

Based on: 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 Q1 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 12.33 = 30

2 Click competitor name to see calculations.


The analysis of short-term operating activity indicates a cyclical pattern in the management of accounts payable, characterized by alternating periods of extended payment terms and accelerated settlements.

Payables Turnover Analysis
The payables turnover ratio experienced a consistent decline during the first year, dropping from 9.27 in March 2022 to a low of 6.63 by March 2023. A subsequent recovery occurred through 2023, leading to a significant peak of 11.89 in March 2024. Following a period of relative stability between 7.62 and 8.19 throughout 2024, a strong upward trajectory is observed starting in mid-2025, culminating in a period high of 12.33 by March 2026.
Average Payables Payment Period Trends
The average duration for settling obligations mirrored the inverse of the turnover ratio. A gradual lengthening of the payment cycle is evident from March 2022 (39 days) to a peak of 55 days in March 2023, suggesting a strategy to preserve cash flow. This trend reversed sharply in late 2023 and early 2024, with the payment period reaching 31 days by March 2024. While the period fluctuated between 40 and 48 days throughout most of 2024 and early 2025, a final contraction is observed in the latter half of 2025, ending at 30 days in March 2026.
Operational Insights
The transition from a 55-day payment cycle in early 2023 to a 30-day cycle by early 2026 represents a substantial shift in working capital management. The increase in turnover and the corresponding decrease in the payment period during the final four quarters indicate a transition toward more aggressive payment behavior or changes in supplier credit terms, resulting in the fastest settlement rate recorded across the entire analyzed period.

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Cash Conversion Cycle

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

No. days

Microsoft Excel
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 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127
Average receivable collection period 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35
Average payables payment period 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39
Short-term Activity Ratio
Cash conversion cycle1 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. 158 171 155 147 183 179 178 176 165 145 139 115 103 87 88 94 99
Analog Devices Inc. 144 143 153 149 148 139 131 126 136 138 138 135 131 122 110 116 126
Broadcom Inc. 59 53 54 50 33 33 39 57 59 54 58 66 65 63 69 58 49
Intel Corp. 84 45 35 23 35 21 31 39 55 52 51 55 76 60 95 72 82
KLA Corp. 282 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236
Lam Research Corp. 187 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167
NVIDIA Corp. 87 107 88 101 116 117 133 154 170 177 153 111 108 95 83 89 96

Based on: 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 Q1 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 218 + 4430 = 232

2 Click competitor name to see calculations.


The operational efficiency over the analyzed period reflects a significant expansion in the working capital cycle, primarily driven by an increase in inventory holding times. This trend indicates a slower conversion of resource inputs into cash, leading to a prolonged cash conversion cycle that peaked in early 2025 before showing signs of moderate contraction.

Average Inventory Processing Period
A sustained upward trajectory is observed from March 2022, when the period was 127 days, reaching a peak of 254 days by March 2025. This represents a nearly twofold increase in the time inventory remains on the balance sheet. A corrective trend emerged in the final quarters of the period, with the duration declining to 218 days by March 2026, suggesting a gradual reduction in inventory levels or an improvement in turnover efficiency.
Average Receivable Collection Period
The collection of receivables remained relatively stable, fluctuating within a narrow range. The period began at 35 days in March 2022 and concluded at 44 days in March 2026. Although a slight upward trend is evident over the four-year span, the relative consistency suggests a stable credit policy and controlled management of customer payment terms.
Average Payables Payment Period
Payment behavior toward suppliers exhibited notable volatility. An initial increase peaked at 55 days in March 2023, indicating a temporary increase in the utilization of supplier credit. A sharp contraction followed, reaching 31 days in March 2024, before stabilizing in the mid-40s throughout 2024 and early 2025. The period ended at a low of 30 days in March 2026, indicating a shift toward more rapid settlement of obligations.
Cash Conversion Cycle
The total cash conversion cycle expanded substantially, rising from 123 days in March 2022 to a peak of 249 days in March 2025. This expansion is primarily attributable to the increase in the inventory processing period, which far outweighed the effects of receivable and payable fluctuations. A marginal improvement is noted toward the end of the period, with the cycle contracting to 232 days by March 2026, correlating with the decline in inventory holding times.

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