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, 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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Turnover Ratios
Inventory turnover 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 3.12 3.18 3.12 2.88 2.66
Receivables turnover 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 10.78 10.64 10.54 9.74 10.23
Payables turnover 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 9.14 9.93 9.86 9.60 12.51
Working capital turnover 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 1.65 1.57 1.87 1.77 1.84
Average No. Days
Average inventory processing period 251 254 252 241 229 228 225 222 215 190 161 143 133 127 117 115 117 127 137
Add: Average receivable collection period 42 42 40 43 39 36 37 40 38 35 35 37 41 35 34 34 35 37 36
Operating cycle 293 296 292 284 268 264 262 262 253 225 196 180 174 162 151 149 152 164 173
Less: Average payables payment period 46 47 46 45 48 31 45 40 53 55 50 46 43 39 40 37 37 38 29
Cash conversion cycle 247 249 246 239 220 233 217 222 200 170 146 134 131 123 111 112 115 126 144

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).


Inventory Turnover
The inventory turnover ratio exhibits a declining trend over the analyzed periods, starting from 2.66 and decreasing steadily to approximately 1.45. This suggests a gradual slowdown in the frequency with which inventory is sold and replaced, indicating potential inventory accumulation or reduced sales velocity over time.
Receivables Turnover
The receivables turnover ratio fluctuates modestly between approximately 8.6 and 10.8 throughout the timeline. Notably, there is a decline from a peak of around 10.78 to values closer to 8.6 in the later periods, reflecting a lengthening in the collection period for accounts receivable and potentially less efficient credit management.
Payables Turnover
The payables turnover ratio shows considerable variability, with values ranging initially around 12.5 down to approximately 7.3-7.9 in later periods. The ratio decreases significantly around mid-series, indicating the company is taking longer to settle its payables, which may be a strategic decision to optimize cash flows or reflect changes in supplier payment terms.
Working Capital Turnover
Working capital turnover remains relatively stable, fluctuating between approximately 1.2 and 1.9. A subtle downward trend is noted in certain intervals, suggesting a slight decrease in the efficiency of using working capital to generate sales, though the changes are moderate and do not indicate severe operational issues.
Average Inventory Processing Period
The average inventory processing days increase steadily from around 137 days up to over 250 days at the end of the period. This lengthening implies slower inventory movement and possible build-up of stock, potentially tying up capital and increasing holding costs.
Average Receivable Collection Period
The average collection period remains mostly stable around mid-30s to low 40s, with occasional increases to roughly 43-42 days towards the later periods. This indicates a consistent, though slightly lengthening, time to collect payments from customers, which may affect cash inflows.
Operating Cycle
The operating cycle experiences a distinct lengthening trend, rising from approximately 149 days to nearly 300 days by the period's end. This longer cycle reflects the combined effect of slower inventory turnover and slightly longer receivable collection, signaling reduced operational efficiency in managing the cash conversion loop.
Average Payables Payment Period
The average payment period for payables fluctuates between roughly 29 and 55 days, with occasional spikes and declines. Notably, increases in the payment period suggest the company is extending the time it takes to pay suppliers, which may improve short-term liquidity but could affect supplier relationships.
Cash Conversion Cycle
The cash conversion cycle extends significantly from approximately 112 days to around 249 days, aligning with the trends observed in the operating cycle and inventory processing periods. This lengthening implies that cash is tied up for longer durations within business operations, potentially impacting liquidity and working capital requirements.

Turnover Ratios


Average No. Days


Inventory Turnover

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

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in millions)
Cost of revenue (COR) 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 1,482 1,491 1,503 1,492 1,430 1,364 1,157 1,241
Inventories 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 1,910 1,863 1,856 1,890 1,955 2,072 2,136 2,003
Short-term Activity Ratio
Inventory turnover1 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 3.12 3.18 3.12 2.88 2.66
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc. 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 4.35 4.15 4.10 3.81 3.87
Analog Devices Inc. 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 2.33 3.16 3.16 3.18 3.14 3.12 3.23 3.28
Applied Materials Inc. 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 2.82 2.80 2.65 2.55 2.44 2.30 2.32 2.43
Broadcom Inc. 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 8.18 9.10 10.44 11.01 10.34 9.51 10.76 10.73
Intel Corp. 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 3.27 3.50 3.91 4.15 4.06
KLA Corp. 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 1.76 1.81 1.76 1.77 1.87
Lam Research Corp. 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 2.91 2.78 2.71 2.77 2.86 3.11 3.42 3.51
Micron Technology Inc. 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 3.85 3.73 3.43 2.74 2.65 2.66 2.62 2.67
NVIDIA Corp. 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 3.44 3.69 3.47 3.81 4.24
Qualcomm Inc. 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 4.42 4.18 4.41 4.17 3.56 3.67 5.08 6.00

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Inventory turnover = (Cost of revenue (COR)Q2 2025 + Cost of revenue (COR)Q1 2025 + Cost of revenue (COR)Q4 2024 + Cost of revenue (COR)Q3 2024) ÷ Inventories
= (1,873 + 1,756 + 1,693 + 1,677) ÷ 4,812 = 1.45

2 Click competitor name to see calculations.


The data reveals several important trends related to the cost of revenue, inventories, and inventory turnover ratios over the examined periods.

Cost of Revenue (COR)
The cost of revenue shows a generally increasing trend from March 31, 2020, through June 30, 2025. Starting at $1,241 million in early 2020, it experienced fluctuations but mostly increased, reaching $1,873 million by the middle of 2025. There are periods of both moderate increases and occasional slight decreases; for instance, some small reductions occurred in late 2020 and late 2023. Nevertheless, the overall trajectory points to rising cost structures over time, indicating growing expenses linked to generating revenue.
Inventories
Inventory levels exhibit a steady upward trend throughout the period, beginning with $2,003 million at the start of 2020 and rising consistently to $4,812 million by the second quarter of 2025. The growth is particularly notable from 2021 forward, with incremental increases almost each quarter. This indicates an accumulation of stock, which may reflect expectations of higher sales, precautionary supply chain management, or slower inventory movement.
Inventory Turnover Ratio
The inventory turnover ratio shows a declining pattern over the observed quarters where data is available. Starting at 2.66 in the first measured quarter in 2020, it increased to a peak of 3.18 by the end of 2020 but subsequently declined steadily to 1.45 by mid-2025. This trend reflects that the company is turning over its inventory less frequently over time. The declining turnover despite rising inventory levels and increasing cost of revenue may suggest slower sales relative to inventory holdings or changes in management policies regarding stock.

In summary, the company has experienced rising costs of revenue and steadily increasing inventory balances but a decreasing inventory turnover ratio. This combination suggests that while costs and stock levels have increased, the speed at which inventory is sold and replaced has slowed considerably. This may warrant further investigation to assess inventory management efficiency, sales performance, and supply chain strategies to better align inventory with demand and control costs effectively.


Receivables Turnover

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

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in millions)
Revenue 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 4,832 4,643 4,580 4,289 4,076 3,817 3,239 3,329
Accounts receivable, net of allowances 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 1,701 1,653 1,591 1,584 1,414 1,392 1,176 1,316
Short-term Activity Ratio
Receivables turnover1 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 10.78 10.64 10.54 9.74 10.23
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc. 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 6.07 6.68 6.60 5.24 4.73
Analog Devices Inc. 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 5.02 7.90 7.62 7.08 7.60 8.10 9.42 9.85
Applied Materials Inc. 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 4.66 5.66 5.87 5.98 5.81 5.80 5.88 5.61
Broadcom Inc. 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 13.25 11.87 10.54 9.78 10.40 8.64 7.13 6.21
Intel Corp. 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 8.36 9.34 10.40 10.78 11.48
KLA Corp. 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 5.30 5.37 4.98 5.77 5.24
Lam Research Corp. 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 4.83 4.72 4.11 4.77 4.79 4.39 4.70 5.80
Micron Technology Inc. 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 5.22 6.02 7.01 5.98 5.48 5.62 6.43 6.04
NVIDIA Corp. 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 6.86 5.80 6.27 6.18 6.59

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Receivables turnover = (RevenueQ2 2025 + RevenueQ1 2025 + RevenueQ4 2024 + RevenueQ3 2024) ÷ Accounts receivable, net of allowances
= (4,448 + 4,069 + 4,007 + 4,151) ÷ 1,934 = 8.62

2 Click competitor name to see calculations.


The revenue over the observed periods displays a generally upward trajectory from March 31, 2020, reaching a peak around June 30, 2022. After this peak, a notable decline is visible through to December 31, 2023, followed by some recovery into mid-2025. This pattern suggests fluctuations likely influenced by external market conditions or company-specific factors impacting sales volume or pricing strategies.

Accounts receivable, net of allowances, show consistent growth from March 31, 2020, through June 30, 2022, with a slight dip thereafter until around December 31, 2023. Subsequently, the figures fluctuate moderately, reflecting some variability in credit sales or collection efficiency. The peaks and troughs appear to follow or slightly lag the revenue trends, indicating a close relationship between sales on credit and revenue generated.

Receivables turnover ratio, available from December 31, 2020, onwards, demonstrates relative stability with values fluctuating around the 9 to 10 range. Early in the period, this ratio encounters a slight decline, followed by fluctuating increases and decreases. The downward trend observed towards mid-2025 suggests a lengthening average collection period or loosening credit terms over time, which may increase credit risk or impact cash flow management.

Revenue
Growth from approximately $3.3 billion in early 2020 to a high near $5.2 billion by mid-2022.
Revenue declines after the peak, dropping to near $4.1 billion by late 2023, followed by a recovery trend to about $4.4 billion by mid-2025.
Accounts Receivable, Net
Growth trends mirror revenue, rising from about $1.3 billion in early 2020 to over $2.1 billion by mid-2022.
After mid-2022, accounts receivable decline and stabilize around $1.7-1.9 billion, suggesting improved collection or tighter credit policies in some periods.
Receivables Turnover Ratio
Ranges mostly between 8.5 and 10.8, with a general pattern of decline in late periods.
The lower turnover ratios towards the end of the timeline imply slower collection cycles or potentially higher receivables levels relative to sales.

Overall, the financial data indicates a period of expansion in revenue and receivables through mid-2022, followed by contraction and partial recovery. The receivables turnover trends suggest evolving credit management practices or changing customer payment behavior, warranting attention to cash flow implications and credit risk assessments in future periods.


Payables Turnover

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

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in millions)
Cost of revenue (COR) 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 1,482 1,491 1,503 1,492 1,430 1,364 1,157 1,241
Accounts payable 881 866 820 794 858 551 802 713 923 952 851 780 712 641 653 596 587 567 415 411 409 363
Short-term Activity Ratio
Payables turnover1 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 9.14 9.93 9.86 9.60 12.51
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc. 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 6.05 7.29 8.31 6.38 9.92
Analog Devices Inc. 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 6.30 7.82 7.25 8.66 8.42 8.85 9.83 9.12
Broadcom Inc. 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 9.77 10.91 12.63 11.67 12.41 9.41 8.33 10.28
Intel Corp. 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 6.13 5.05 5.82 6.49 6.14
KLA Corp. 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 8.10 8.88 9.53 9.69 9.27
Lam Research Corp. 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 9.43 9.33 8.82 8.94 9.18 10.43 11.56 12.52
NVIDIA Corp. 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 5.23 5.03 5.44 5.65 6.04
Qualcomm Inc. 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 5.19 4.83 4.62 4.38 4.12 4.21 4.19 4.96

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Payables turnover = (Cost of revenue (COR)Q2 2025 + Cost of revenue (COR)Q1 2025 + Cost of revenue (COR)Q4 2024 + Cost of revenue (COR)Q3 2024) ÷ Accounts payable
= (1,873 + 1,756 + 1,693 + 1,677) ÷ 881 = 7.94

2 Click competitor name to see calculations.


Cost of Revenue (COR)
The cost of revenue exhibited fluctuations over the reported periods. It started at 1241 million USD in March 2020 and saw a general rising trend, with occasional decreases. Notably, it peaked multiple times, reaching 1873 million USD by June 2025. Periods such as from June 2023 to September 2023 and March 2025 to June 2025 showed appreciable increases. Despite some variability, the overall pattern indicates a gradual increase in cost of revenue across the nearly five-year span.
Accounts Payable
Accounts payable figures presented notable variability across quarters. Starting from 363 million USD in March 2020, the value rose sharply to 653 million USD in December 2020, followed by continuous growth reaching 952 million USD in March 2023. Subsequently, a decline is observed until September 2023, followed by volatile movements, with accounts payable reported at 881 million USD in June 2025. This indicates fluctuating short-term liabilities within the periods under review.
Payables Turnover Ratio
The payables turnover ratio was measured starting only at December 2020 with a value of 12.51, followed by a gradual decline through to March 2023, reaching as low as 6.63. After this, the ratio experienced mild fluctuations, including a temporary spike to 11.89 in September 2023, before stabilizing in the range of approximately 7.7 to 8.2 by mid-2025. This reduction and subsequent stabilization may suggest changes in payment efficiency or negotiated payment terms over time.
Summary of Trends and Insights
Overall, the cost of revenue has generally increased throughout the periods, indicating either expanding operational scale or rising input costs. Accounts payable has shown considerable volatility with an upward trend in earlier quarters, followed by intermittent decreases, reflecting potential changes in working capital management or supplier credit terms. The payables turnover ratio declining from above 12 to a lower and more stable range suggests a lengthening of payment cycles or less frequent settlement of payables over time. Together, these trends denote evolving operational and financial dynamics impacting cash flow and cost management.

Working Capital Turnover

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

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in millions)
Current assets 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 13,685 13,585 11,177 10,405 10,239 9,259 8,488 8,310
Less: Current liabilities 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 2,569 2,413 2,201 1,700 2,390 2,185 2,163 2,381
Working capital 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 11,116 11,172 8,976 8,705 7,849 7,074 6,325 5,929
 
Revenue 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 4,832 4,643 4,580 4,289 4,076 3,817 3,239 3,329
Short-term Activity Ratio
Working capital turnover1 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 1.65 1.57 1.87 1.77 1.84
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc. 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 3.78 3.36 2.71 2.64 2.62
Analog Devices Inc. 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 2.81 21.89 49.24 6.18 4.86 6.92 11.81 40.91
Applied Materials Inc. 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 2.36 2.14 1.95 1.86 1.93 2.04 1.94 2.42
Broadcom Inc. 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 2.66 2.90 3.27 3.25 4.32 3.32 3.00 5.19
Intel Corp. 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 2.61 2.47 3.16 3.59 3.46
KLA Corp. 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 1.93 1.91 1.90 1.97 1.92
Lam Research Corp. 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 1.80 1.72 1.51 1.41 1.31 1.32 1.62 1.49
Micron Technology Inc. 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 2.05 1.95 1.98 2.04 1.89 1.73 1.93 2.10
NVIDIA Corp. 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 1.37 1.38 1.06 0.67 0.92
Qualcomm Inc. 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 4.13 3.96 3.19 2.53 2.39 2.62 4.47 3.50

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Working capital turnover = (RevenueQ2 2025 + RevenueQ1 2025 + RevenueQ4 2024 + RevenueQ3 2024) ÷ Working capital
= (4,448 + 4,069 + 4,007 + 4,151) ÷ 11,992 = 1.39

2 Click competitor name to see calculations.


Working Capital
The working capital exhibited a generally increasing trend from March 2020 through June 2021, rising from 5,929 million USD to a peak of 11,172 million USD in September 2021. After this peak, it fluctuated moderately, reaching a high of 12,803 million USD in June 2023 before declining to 11,992 million USD by June 2025. Despite these fluctuations, the overall trajectory showed growth in working capital, with some intermittent decreases during the later periods.
Revenue
Revenue displayed a rising trend from March 2020, starting at 3,329 million USD, and peaking at around 5,241 million USD in September 2022. Following this peak, revenue experienced a notable downward correction, dropping to 4,077 million USD in December 2023. Subsequently, revenue somewhat stabilized but remained lower than its peak, fluctuating between 3,661 million USD and 4,448 million USD in the subsequent quarters up to June 2025. This pattern suggests a period of growth followed by market or operational challenges impacting sales volumes or prices.
Working Capital Turnover
Working capital turnover ratios were available from December 2020 onwards, showing initial values between 1.57 and 1.87 through the end of 2022. These ratios generally declined from around 1.81 in early 2023 to lows near 1.21–1.22 by mid-2024. A modest recovery occurred thereafter, with the ratio reaching roughly 1.51 by June 2025. This downward trend in turnover ratio indicates a reduced efficiency in utilizing working capital to generate revenue during the mid-to-late period, possibly due to increased working capital or declining revenue impacting turnover positively.
Overall Insights
Over the observed period, the firm demonstrated initial growth in both working capital and revenue, followed by fluctuations and a modest decline in revenue after its peak in late 2022. The working capital turnover ratio's decline suggests that the efficiency in converting working capital to sales decreased in recent years, pointing to potential operational or market challenges. The stabilization of both revenue and working capital turnover in the most recent quarters may indicate attempts to adjust or improve operational efficiency. Monitoring these trends going forward would be critical for understanding the firm's liquidity management and sales performance relative to its capital base.

Average Inventory Processing Period

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

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Inventory turnover 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 3.12 3.18 3.12 2.88 2.66
Short-term Activity Ratio (no. days)
Average inventory processing period1 251 254 252 241 229 228 225 222 215 190 161 143 133 127 117 115 117 127 137
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc. 157 169 160 156 149 140 130 133 135 120 106 101 86 91 84 88 89 96 94
Analog Devices Inc. 137 135 131 127 128 131 135 140 136 129 114 96 97 100 157 115 116 115 116 117 113 111
Applied Materials Inc. 142 139 139 144 148 147 148 149 152 157 157 151 140 131 129 130 138 143 150 159 157 150
Broadcom Inc. 38 36 34 41 45 55 62 60 61 61 63 62 57 53 45 40 35 33 35 38 34 34
Intel Corp. 111 124 125 124 127 130 125 128 131 136 133 126 121 123 112 104 93 88 90
KLA Corp. 254 275 282 283 285 266 249 237 225 230 218 214 208 211 207 202 207 206 195
Lam Research Corp. 187 188 196 208 206 198 182 171 169 163 155 140 126 124 126 131 135 132 128 117 107 104
Micron Technology Inc. 161 158 166 164 168 163 181 182 177 192 144 119 116 101 95 98 106 133 138 137 139 137
NVIDIA Corp. 105 109 116 129 136 149 162 135 121 112 101 94 97 100 106 99 105 96 86
Qualcomm Inc. 121 128 137 133 138 141 148 144 140 138 124 112 102 93 83 87 83 88 102 99 72 61

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.45 = 251

2 Click competitor name to see calculations.


Inventory turnover ratio
The inventory turnover ratio shows a declining trend over the analyzed periods. Starting from a value of 2.66 in the first available quarter (March 31, 2020), it increased to a peak of 3.18 by December 31, 2020, indicating an initial improvement in inventory efficiency. However, from this point onward, the ratio steadily decreased, reaching 1.45 by June 30, 2025. This decline suggests that the company is turning over its inventory less frequently over time, potentially indicating slower sales or overstocking issues.
Average inventory processing period
The average inventory processing period, measured in days, inversely mirrors the inventory turnover ratio. Beginning at 137 days in March 31, 2020, this metric decreased initially to 115 days by December 31, 2020, indicating quicker inventory processing. Subsequently, there is a consistent increase, peaking at 254 days by September 30, 2024, followed by a slight improvement to 251 days by June 30, 2025. This upward trend implies a lengthening of the time inventory remains on hand, which may reflect reduced sales velocity or operational inefficiencies in inventory management.
Overall trends and insights
The combined analysis of these two metrics reveals a notable shift in inventory management dynamics over the analyzed quarters. The initial period shows efficient inventory turnover with reduced processing days. However, the sustained decline in turnover ratio alongside the increasing inventory processing days suggests growing challenges in inventory control. This shift could be driven by factors such as changing market demand, supply chain disruptions, or strategic decisions impacting stock levels. Monitoring these trends is essential for identifying the root causes and implementing corrective actions to enhance operational efficiency and financial performance.

Average Receivable Collection Period

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

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Receivables turnover 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 10.78 10.64 10.54 9.74 10.23
Short-term Activity Ratio (no. days)
Average receivable collection period1 42 42 40 43 39 36 37 40 38 35 35 37 41 35 34 34 35 37 36
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc. 63 72 88 109 90 81 87 83 72 64 64 69 69 71 60 55 55 70 77
Analog Devices Inc. 51 47 52 42 35 38 44 46 46 47 55 57 60 71 73 46 48 52 48 45 39 37
Applied Materials Inc. 80 79 70 68 66 65 71 72 76 75 86 72 72 67 78 65 62 61 63 63 62 65
Broadcom Inc. 36 33 31 36 47 47 32 30 32 34 33 31 38 33 28 31 35 37 35 42 51 59
Intel Corp. 16 21 24 21 21 22 23 20 20 25 24 39 30 33 44 39 35 34 32
KLA Corp. 79 70 68 62 70 59 61 67 79 69 72 68 77 72 69 68 73 63 70
Lam Research Corp. 74 69 62 56 69 65 59 63 78 93 91 81 75 79 76 77 89 77 76 83 78 63
Micron Technology Inc. 76 93 96 88 86 66 57 49 36 45 61 70 63 65 70 61 52 61 67 65 57 60
NVIDIA Corp. 54 57 60 68 79 58 52 63 65 67 63 59 60 57 53 63 58 59 55

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 8.62 = 42

2 Click competitor name to see calculations.


The receivables turnover ratio demonstrates some fluctuations over the observed periods. Starting from a value of 10.23, it experienced a slight decrease to 9.74, followed by a rise to 10.54 and further to 10.78, indicating periods of more efficient receivables management. However, a noticeable decline followed, reaching as low as 8.44 in the third quarter of 2024. Towards the end of the timeline, the ratio stabilizes around 8.6 to 9.1 but does not regain the earlier higher values above 10. This trend suggests a moderate decrease in the frequency of receivables being collected during the later periods compared to the earlier ones.

The average receivable collection period, measured in days, moves inversely to the receivables turnover ratio as expected. Initially, the collection period ranges between 34 to 37 days, indicating a relatively swift collection process. A significant increase is observed reaching up to 41 days in the third quarter of 2021, coinciding with the lower turnover during that period. Subsequently, the collection period fluctuates, sometimes decreasing back to 35 days but also rising again, peaking at 43 days in the third quarter of 2024. The data at the end of the series shows days outstanding generally in the 40 to 42 range, indicating a lengthening in the time taken to collect receivables compared with the initial periods.

Overall, the trends suggest that the efficiency in managing receivables has declined slightly in the latest periods relative to the earlier ones. The longer collection periods and lower turnover ratios may impact the company's liquidity and working capital management, potentially requiring attention in credit policy or collection efforts.


Operating Cycle

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

No. days

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Average inventory processing period 251 254 252 241 229 228 225 222 215 190 161 143 133 127 117 115 117 127 137
Average receivable collection period 42 42 40 43 39 36 37 40 38 35 35 37 41 35 34 34 35 37 36
Short-term Activity Ratio
Operating cycle1 293 296 292 284 268 264 262 262 253 225 196 180 174 162 151 149 152 164 173
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc. 220 241 248 265 239 221 217 216 207 184 170 170 155 162 144 143 144 166 171
Analog Devices Inc. 188 182 183 169 163 169 179 186 182 176 169 153 157 171 230 161 164 167 164 162 152 148
Applied Materials Inc. 222 218 209 212 214 212 219 221 228 232 243 223 212 198 207 195 200 204 213 222 219 215
Broadcom Inc. 74 69 65 77 92 102 94 90 93 95 96 93 95 86 73 71 70 70 70 80 85 93
Intel Corp. 127 145 149 145 148 152 148 148 151 161 157 165 151 156 156 143 128 122 122
KLA Corp. 333 345 350 345 355 325 310 304 304 299 290 282 285 283 276 270 280 269 265
Lam Research Corp. 261 257 258 264 275 263 241 234 247 256 246 221 201 203 202 208 224 209 204 200 185 167
Micron Technology Inc. 237 251 262 252 254 229 238 231 213 237 205 189 179 166 165 159 158 194 205 202 196 197
NVIDIA Corp. 159 166 176 197 215 207 214 198 186 179 164 153 157 157 159 162 163 155 141

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 251 + 42 = 293

2 Click competitor name to see calculations.


Average Inventory Processing Period
The average inventory processing period displayed a declining trend initially from 137 days to 115 days between March 31, 2020, and December 31, 2020. Following this reduction, the period increased consistently over the subsequent quarters, reaching 254 days by September 30, 2024, before a slight decrease to 251 days by March 31, 2025. This indicates that the company experienced a gradual lengthening in the time inventory remains on hand after the initial improvement in early 2020.
Average Receivable Collection Period
The average receivable collection period showed moderate fluctuations throughout the observed timeframe. Starting at 36 days in March 31, 2020, the period slightly oscillated around the mid-to-high 30s range. It peaked at 43 days in June 30, 2024, and showed a minor decline back to 42 days by March 31, 2025. The general pattern suggests relatively stable credit collection durations with intermittent mild extensions.
Operating Cycle
The operating cycle length initially contracted from 173 days in March 31, 2020, to 149 days in December 31, 2020. Subsequently, it exhibited a steady upward trajectory, increasing to a high of 296 days by September 30, 2024. A slight reduction followed, with the cycle narrowing to 293 days by March 31, 2025. This trend reflects an overall elongation of the period between cash outflow for inventory and cash inflow from receivables, potentially indicating slower asset turnover as time progressed.

Average Payables Payment Period

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

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Payables turnover 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 9.14 9.93 9.86 9.60 12.51
Short-term Activity Ratio (no. days)
Average payables payment period1 46 47 46 45 48 31 45 40 53 55 50 46 43 39 40 37 37 38 29
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc. 73 58 69 87 63 56 72 77 92 81 83 82 61 63 60 50 44 57 37
Analog Devices Inc. 39 34 44 38 37 33 41 48 47 45 47 43 41 45 58 47 50 42 43 41 37 40
Broadcom Inc. 24 36 32 38 35 43 40 32 27 30 33 24 37 37 37 33 29 31 29 39 44 36
Intel Corp. 104 110 128 114 109 97 96 97 96 85 97 70 79 74 60 72 63 56 59
KLA Corp. 36 33 33 33 35 32 32 35 47 46 45 46 43 47 45 41 38 38 39
Lam Research Corp. 35 31 29 26 23 22 18 21 32 43 39 41 39 36 39 39 41 41 40 35 32 29
NVIDIA Corp. 58 50 59 64 61 37 37 45 75 71 69 70 68 61 70 72 67 65 60
Qualcomm Inc. 48 53 55 57 52 49 44 38 29 51 74 77 83 85 70 76 79 83 89 87 87 74

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 7.94 = 46

2 Click competitor name to see calculations.


Payables Turnover Ratio
The payables turnover ratio, reported from March 2021 onwards, shows an overall declining trend with some fluctuations. Beginning at 12.51 in March 2021, the ratio decreases steadily over the next several quarters, reaching a low of 6.63 by March 2023. This downward movement suggests that the company is taking longer to pay its suppliers or possibly purchasing on longer credit terms. After March 2023, the ratio presents some volatility, increasing to 9.03 in June 2023, then declining again, and peaking at 11.89 in March 2024. Thereafter, a gradual decline resumes, ending near 7.94 by June 2025. This variation indicates inconsistent payment behavior during the period analyzed.
Average Payables Payment Period (Days)
The average payment period in days shows an inverse pattern relative to the payables turnover ratio, which aligns with financial theory since higher turnover corresponds with shorter payment periods. Starting at 29 days in March 2021, the payment period lengthens consistently through 2022 and into early 2023, peaking at 55 days in March 2023. This suggests the company took more time to settle its payables during this timeframe. Following this peak, the payment period shortens notably to 40 days by June 2023 and fluctuates thereafter, rising and falling between 31 and 53 days but generally trending towards approximately 45-47 days towards mid-2025, indicating a somewhat stabilized payment timeframe, yet longer than the initial period.
Overall Insights
The inverse relationship between the payables turnover ratio and the average payment period is evident throughout the period analyzed. The initial part of the timeline shows increasing payment delays, peaking around early 2023, which might reflect changing supplier terms, cash flow management strategies, or operational factors influencing payment timing. After this peak, payment practices appear to stabilize with shorter periods and more fluctuating payables turnover ratios. The variations observed suggest possible adjustments in working capital management or responses to external financial pressures during these years.

Cash Conversion Cycle

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

No. days

Microsoft Excel
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 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Average inventory processing period 251 254 252 241 229 228 225 222 215 190 161 143 133 127 117 115 117 127 137
Average receivable collection period 42 42 40 43 39 36 37 40 38 35 35 37 41 35 34 34 35 37 36
Average payables payment period 46 47 46 45 48 31 45 40 53 55 50 46 43 39 40 37 37 38 29
Short-term Activity Ratio
Cash conversion cycle1 247 249 246 239 220 233 217 222 200 170 146 134 131 123 111 112 115 126 144
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc. 147 183 179 178 176 165 145 139 115 103 87 88 94 99 84 93 100 109 134
Analog Devices Inc. 149 148 139 131 126 136 138 138 135 131 122 110 116 126 172 114 114 125 121 121 115 108
Broadcom Inc. 50 33 33 39 57 59 54 58 66 65 63 69 58 49 36 38 41 39 41 41 41 57
Intel Corp. 23 35 21 31 39 55 52 51 55 76 60 95 72 82 96 71 65 66 63
KLA Corp. 297 312 317 312 320 293 278 269 257 253 245 236 242 236 231 229 242 231 226
Lam Research Corp. 226 226 229 238 252 241 223 213 215 213 207 180 162 167 163 169 183 168 164 165 153 138
NVIDIA Corp. 101 116 117 133 154 170 177 153 111 108 95 83 89 96 89 90 96 90 81

Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q2 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 251 + 4246 = 247

2 Click competitor name to see calculations.


Inventory Processing Period
The average inventory processing period shows a clear upward trend from March 31, 2021, through June 30, 2025. Starting at 137 days in early 2021, it gradually increases with slight fluctuations, reaching a peak of 254 days by September 30, 2025, and slightly decreasing to 251 days by June 30, 2025. This indicates a lengthening time for inventory turnover, suggesting slower inventory movement over the observed quarters.
Receivable Collection Period
Throughout the timeline, the average receivable collection period exhibits moderate variability but remains relatively stable in the range of mid-30s to low 40s days. Notable increases occur around September 30, 2022 (41 days) and June 30, 2024 (43 days), reflecting slightly extended customer payment times. However, the values revert near prior levels afterward, indicating a generally consistent collection efficiency with minor fluctuations over the periods analyzed.
Payables Payment Period
The average payables payment period gradually increases from 29 days at the start of the data points to values generally between 40 and 55 days in subsequent quarters. A notable rise occurs from December 31, 2021 (37 days) onward, peaking at 55 days at March 31, 2023, followed by variations around the mid-40 day range through June 30, 2025. This suggests a tendency to extend payment terms or timing to vendors over time, with some quarter-to-quarter volatility.
Cash Conversion Cycle (CCC)
The cash conversion cycle shows a marked upward trend from 144 days in March 31, 2021, to a maximum around 249 days by September 30, 2025. The CCC deteriorates consistently with minor short-term decreases, reflecting that the overall cash tied up in operational cycles is increasing. The extended inventory processing and receivables collection periods contribute notably to this increase. The elevated CCC points to elongated cash flow cycles, which may impact liquidity and working capital efficiency.