Stock Analysis on Net

Teradyne Inc. (NASDAQ:TER)

$22.49

This company has been moved to the archive! The financial data has not been updated since May 3, 2024.

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Turnover Ratios
Inventory turnover
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle
Less: Average payables payment period
Cash conversion cycle

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).


Inventory Turnover
The inventory turnover ratio exhibited fluctuations over the analyzed periods, initially increasing from 5.72 to a peak of 6.78 before experiencing a gradual decline to approximately 3.62 by the latest date. This indicates a slowing rate at which inventory is being sold and replaced.
Receivables Turnover
Receivables turnover showed variability, with initial values around 5.14, experiencing both increases and decreases, and stabilizing near 6.24 towards the end. This reflects some inconsistency in the efficiency of collecting receivables, though generally maintaining moderate levels.
Payables Turnover
Payables turnover has demonstrated considerable fluctuations, with values ranging from around 6.33 to nearly 9.99. There appears to be a pattern of increasing turnover followed by subsequent declines, suggesting varying payment pacing to suppliers.
Working Capital Turnover
The working capital turnover ratio remained relatively stable, oscillating between approximately 1.76 and 2.33. A slight decline toward the latter periods suggests a modest reduction in the efficiency of generating sales from working capital.
Average Inventory Processing Period
The average time to process inventory, measured in days, showed a general uptrend from 64 days initially to a high above 100 days later on. This elongation signifies slower inventory movement and potential buildup in stock over time.
Average Receivable Collection Period
The days sales outstanding for receivables varied, starting near 71 days, peaking around 92 days in mid-periods, and settling near 59 days by the end. This implies fluctuating efficiency in collecting payments, but an overall improvement towards quicker collections most recently.
Operating Cycle
The operating cycle, which combines inventory and receivables processing periods, ranged from approximately 113 to 169 days. The cycle lengthened in the later periods, indicating extended time from inventory purchase to cash collection.
Average Payables Payment Period
The average payables period showed variability between 37 and 58 days. The trend indicates some increase in days payable in recent quarters, implying the company may be taking longer to pay suppliers.
Cash Conversion Cycle
The cash conversion cycle, reflecting net days tied up in the operating process, expanded from around 76 days in earlier periods to peaks over 120 days. The lengthening trend suggests increased working capital requirements and a slower overall cash flow conversion.

Turnover Ratios


Average No. Days


Inventory Turnover

Teradyne Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data (US$ in thousands)
Cost of revenues, exclusive of acquired intangible assets amortization
Inventories, net
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Inventory turnover = (Cost of revenues, exclusive of acquired intangible assets amortizationQ1 2024 + Cost of revenues, exclusive of acquired intangible assets amortizationQ4 2023 + Cost of revenues, exclusive of acquired intangible assets amortizationQ3 2023 + Cost of revenues, exclusive of acquired intangible assets amortizationQ2 2023) ÷ Inventories, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Cost of Revenues
The cost of revenues, exclusive of acquired intangible assets amortization, exhibited notable fluctuations over the analyzed periods. Initially, it increased from approximately $299 million in March 2020 to a peak of about $439 million in July 2021. Subsequently, a decline was observed with values decreasing to around $260 million by March 2024. This indicates a peak in cost pressures in mid-2021 followed by a gradual reduction towards early 2024.
Inventories, Net
The net inventories showed a general upward trend over the periods analyzed. Starting at approximately $183 million in March 2020, inventories rose steadily reaching a peak of around $352 million in April 2023. Following this peak, a mild decline occurred, with inventories settling near $314 million by March 2024. This pattern suggests increasing inventory holdings over the years, possibly reflecting higher stocking or slower turnover scenarios towards the latter periods.
Inventory Turnover Ratio
The inventory turnover ratio demonstrated a decreasing trend throughout the intervals. Beginning at roughly 5.72 in March 2020, it initially remained fairly stable, peaking near 6.78 in September 2020. However, from that point onward, a consistent decline ensued, reaching a low near 3.44 by July 2023 before stabilizing slightly above 3.6 in early 2024. The declining turnover ratio implies that inventories are being sold or used less frequently, which could point to lengthening inventory holding periods or reduced sales velocity.
Overall Assessment
The combined trends in cost of revenues, net inventories, and inventory turnover suggest a period of increased cost intensity followed by moderation. The accumulation of inventories alongside a decreasing turnover ratio signals potential challenges in inventory management efficiency or changes in sales dynamics. These factors warrant close monitoring to optimize working capital utilization and control cost structures in future periods.

Receivables Turnover

Teradyne Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data (US$ in thousands)
Revenues
Accounts receivable, less allowance for credit losses
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Receivables turnover = (RevenuesQ1 2024 + RevenuesQ4 2023 + RevenuesQ3 2023 + RevenuesQ2 2023) ÷ Accounts receivable, less allowance for credit losses
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Revenue Trends

The revenue figures demonstrate notable fluctuations over the observed periods. Initial revenue increased from approximately 704 million in March 2020 to a peak near 1.09 billion in July 2021, followed by a declining trend into late 2023 and early 2024, reaching approximately 600 million. This pattern suggests a period of growth in the first year and a half, succeeded by a contraction or stabilization at lower levels towards the end of the timeline.

Accounts Receivable Developments

Accounts receivable, net of allowances for credit losses, exhibit significant volatility. Starting at around 487 million in March 2020, there is a general upward movement with peaks correlating to quarters with elevated revenues, notably July 2021, which saw nearly 868 million in receivables. Subsequently, receivables moderately decline to levels slightly above 420 million by early 2024. This progression generally aligns with the revenue trend, suggesting correlated credit sales and collection cycles.

Receivables Turnover Analysis

The receivables turnover ratio presents considerable variation, ranging from a high near 6.72 in December 2020 and early 2022 to lows around 3.97 in July 2021. Higher turnover ratios correspond to more efficient collections relative to sales, whereas lower values indicate slower collections or increasing receivables balances relative to revenue. The dip in turnover during mid-2021 implies a period of slower accounts receivable conversion, coinciding with the peak in accounts receivable and revenues, suggesting extended collection periods or increased credit terms during that time. Subsequently, turnover ratios recover and stabilize between approximately 5.8 and 6.3 in the final quarters, indicating improved collection efficiency despite declining revenues.

Overall Insights

The data indicates a cyclical revenue pattern with growth through 2021 followed by contraction. Accounts receivable movements largely mirror revenue trends but reveal periods of collection challenges, as evidenced by turnover dips. The recovery and stabilization of receivables turnover ratios toward the end of the period indicate efforts or improvements in working capital management. Overall, the financial activity reflects dynamic operating conditions with shifts in sales volume and corresponding credit management practices.


Payables Turnover

Teradyne Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data (US$ in thousands)
Cost of revenues, exclusive of acquired intangible assets amortization
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Payables turnover = (Cost of revenues, exclusive of acquired intangible assets amortizationQ1 2024 + Cost of revenues, exclusive of acquired intangible assets amortizationQ4 2023 + Cost of revenues, exclusive of acquired intangible assets amortizationQ3 2023 + Cost of revenues, exclusive of acquired intangible assets amortizationQ2 2023) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Cost of Revenues

The cost of revenues, excluding acquired intangible assets amortization, exhibits notable fluctuations over the observed periods. Beginning at approximately $299 million in March 2020, it increased significantly to a peak around $439 million by July 2021. Following this peak, there is a general declining trend into early 2024, where costs decrease to approximately $261 million by March 2024. This pattern indicates a period of increased production or cost pressures in mid-2021, followed by efforts or circumstances leading to cost reduction in subsequent periods.

Accounts Payable

The accounts payable balances demonstrate variability but generally maintain a range between $130 million and $180 million across the quarters. The figures rose from around $130 million in early 2020 to a higher plateau above $175 million by 2022 and 2023, with some quarterly fluctuations. The highest recorded value is approximately $180 million in late 2023. This suggests some expansion in payable obligations, possibly reflecting increased purchasing or supplier credit utilization over time.

Payables Turnover Ratio

The payables turnover ratio reflects the rate at which payables are paid off during the period. It shows considerable volatility, starting from a ratio above 8 in early 2020 and dipping to a low near 6.3 in mid-2023. The ratio peaks near 10 in December 2020 and remains relatively elevated through much of 2021. The downward trend in the most recent quarters potentially indicates slower payment cycles or longer credit terms extended by suppliers in late 2023 and early 2024.

Overall Insights

Overall, the company's cost of revenues followed an upward trend into mid-2021, corresponding with increased payables balances. Subsequently, costs declined through early 2024, while payables remained relatively high. The payables turnover ratio's decline in recent quarters implies lengthening payment periods, which may tie to strategic working capital management or changing supplier relationships. These dynamics suggest a shift from peak cost pressures in 2021 to moderation in expenses and altered payment patterns more recently.


Working Capital Turnover

Teradyne Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data (US$ in thousands)
Current assets
Less: Current liabilities
Working capital
 
Revenues
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Working capital turnover = (RevenuesQ1 2024 + RevenuesQ4 2023 + RevenuesQ3 2023 + RevenuesQ2 2023) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data over the series of quarters reveals several notable trends concerning working capital, revenues, and working capital turnover ratios.

Working Capital
The working capital demonstrates a general upward movement from early 2020 through the end of 2021, rising from approximately 1.19 billion USD to over 1.77 billion USD. However, starting in early 2022, a declining trend is observable until roughly mid-2023, reaching lows near 1.45 billion USD. The last three quarters show a mild stabilization and slight recovery, with levels increasing back to around 1.51 billion USD by the first quarter of 2024.
Revenues
Revenues exhibit a more volatile pattern across the periods. Initial figures around 704 million USD in the first quarter of 2020 rise significantly to a peak above 1.08 billion USD mid-2021. Following this peak, the revenue figures are generally declining with fluctuations, falling to just below 600 million USD by the first quarter of 2024. This downward trend after 2021 suggests pressures on sales or market demand in the recent quarters.
Working Capital Turnover Ratio
The working capital turnover ratio, representing the efficiency in using working capital to generate revenues, initially decreases from 2.11 to about 1.76 in early 2021, coinciding with growth in working capital. Subsequently, it improves substantially through the end of 2022, reaching a high of approximately 2.33, indicating better utilization of working capital. Nevertheless, from early 2023 onward, this ratio declines steadily to approximately 1.76 by the first quarter of 2024, aligning with reduced revenue generation relative to working capital.

Overall, the data shows that while working capital increased steadily through 2021 before declining, revenues peaked mid-2021 and have been trending downwards since. The working capital turnover ratio indicates efficiency gains through 2022 but declines thereafter, reflecting challenges in maintaining revenue growth relative to working capital investment in the most recent quarters. This suggests potential concerns in operational efficiency or market conditions impacting sales performance despite stable working capital levels.


Average Inventory Processing Period

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

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data
Inventory turnover
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Inventory Turnover
The inventory turnover ratio exhibits a fluctuating but overall declining trend over the analyzed period. Initially, the ratio was around 5.7 to 6.8, peaking at 6.78 in the third quarter of 2020. Subsequently, it experienced moderate volatility, reaching another peak of 6.45 in the third quarter of 2021. However, from early 2022 onward, the ratio steadily decreased, falling to 3.62 by the end of the first quarter of 2024. This decline indicates a slower rate of inventory turnover, possibly reflecting an accumulation of inventory or slower sales relative to inventory levels in recent periods.
Average Inventory Processing Period
The average inventory processing period, measured in days, shows an inverse pattern to the inventory turnover ratio. It initially dipped to a low of 54 days in the third quarter of 2020 before increasing again to about 71 days by early 2021. From mid-2021, the period began a consistent upward progression, lengthening from 58 days to over 100 days in the recent quarters, peaking at 106 days in the third quarter of 2023 and marginally improving to 99 and 101 days in the last two recorded periods. This lengthening suggests that inventory is remaining on hand for longer periods before being sold or processed.
Overall Insights
The inverse relationship between inventory turnover and average inventory processing period is consistent and expected, indicating that as the company turns over its inventory less frequently, the time inventory remains in stock increases. The recent sustained decline in turnover ratio combined with the prolonged processing period may imply challenges such as potential overstocking, reduced demand, or slower sales cycles. This trend could impact working capital management and suggests an area for operational review and possibly improved inventory management strategies to optimize stock levels and enhance liquidity.

Average Receivable Collection Period

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

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Receivables Turnover Ratio
The receivables turnover ratio exhibits a fluctuating pattern between 2020 and early 2024. Initially, it started at 5.14 in March 2020, decreased to 4 in the subsequent quarter, and then rebounded to 5.14 in September 2020. A significant improvement is noted at the end of 2020 with a peak of 6.27, indicating enhanced efficiency in collecting receivables. Throughout 2021, the ratio saw some volatility, dipping to 3.97 in mid-year before recovering to 6.72 by December. In 2022, the ratio mostly maintained elevated levels between 5 and just above 6, peaking at 6.42 and 6.24 towards the end of the year. Into 2023 and early 2024, the turnover ratio stabilized around values slightly above 6, reflecting consistent collection efficiency, albeit with minor short-term fluctuations.
Average Receivable Collection Period
The average receivable collection period inversely mirrors the trend of the receivables turnover ratio. It started relatively high at 71 days in March 2020 and peaked at 91 days by June 2020, indicating slower collections. However, a marked decrease occurred by December 2020, reaching a low of 58 days, consistent with improved turnover ratios. The trend throughout 2021 shows variability, with periods exceeding 90 days, suggesting intermittent delays in collections. By the end of 2021 and into 2022, the collection period decreased substantially, fluctuating around the mid-50s days range, which corresponds to higher turnover ratios. In 2023 and early 2024, the collection period remained relatively stable within the 55 to 63 days range, indicating a steady receivables management approach.
Overall Interpretation
The data suggests that the company has experienced periods of variable efficiency in receivable management over the analyzed timeframe. While early 2020 and mid-2021 showed signs of slower collections and lower turnover, the latter part of 2020 and from late 2021 onwards reflect improved and more consistent performance in managing receivables. The inverse relationship between the receivables turnover ratio and the average collection period is consistent with standard financial principles, and the current stabilized levels support a relatively effective credit and collection strategy.

Operating Cycle

Teradyne Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data
Average inventory processing period
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


Over the observed periods, the average inventory processing period demonstrates a fluctuating upward trend. Initially, it remained steady at 64 days, then decreased to a low of 54 days in late 2020. Following that, the period generally increased, reaching a peak of 106 days in mid-2023 before slightly declining to 99 and 101 days by early 2024. This suggests that inventory is being held longer over time, which may impact working capital management and inventory turnover efficiency.

The average receivable collection period shows more volatility but remains within a relatively consistent range throughout the periods. It started at 71 days, surged to a high of 91 days in mid-2020, and then decreased to values in the mid-50s to low 60s in the following quarters, with intermittent spikes such as 73 days in mid-2022. The collection period appears to stabilize around the high 50s toward the end of the series. This indicates the company’s receivables are generally collected within two months, although there are occasional delays.

The operating cycle, which combines inventory and receivables days, reflects the combined effect of both components. It followed a pattern similar to the inventory processing period, fluctuating between approximately 113 to 160 days. Starting around 135 days in early 2020, it peaked at 169 days in mid-2023, and ended near 160 days by the first quarter of 2024. This trend indicates an overall lengthening of the operating cycle, implying that the time needed to convert resources into cash has increased marginally over the periods assessed.

Inventory Management
The lengths of the inventory processing period suggest gradual inventory retention increase, which may affect liquidity and highlight potential changes in demand or supply chain conditions.
Receivables Collection
Receivable collection periods show reliable recovery within a consistent timeframe, with occasional variances, indicating generally effective credit policies but possible short-term disruptions.
Operating Cycle Efficiency
The overall operating cycle trend implies slower conversion of resources into cash, primarily influenced by increasing inventory days, which merits attention for operational optimization.

Average Payables Payment Period

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

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data
Payables turnover
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Payables Turnover Ratio
The payables turnover ratio exhibits significant fluctuations over the observed periods. It started at 8.08 in March 2020, declined to a low of 6.38 in June 2020, and then increased substantially to peak at 9.99 by December 2020. This was followed by another period of variability, with the ratio oscillating between roughly 7.65 and 9.77 throughout 2021 and early 2022. A noticeable decline occurred beginning in mid-2022, with the ratio dropping from 9.22 in December 2022 to 6.33 by December 2023, before a slight uptick to 7.4 in March 2024.
Average Payables Payment Period (number of days)
The average payables payment period shows an inverse pattern relative to the payables turnover ratio, as expected. Initially, it was 45 days in March 2020, increased to a peak of 57 days in June 2020, then shortened to a low of 37 days in December 2020. Throughout 2021 and early 2022, the payment period averaged between roughly 37 and 48 days, reflecting relatively efficient payables management. However, from mid-2022 onward, the payment period extended progressively, reaching a high of 58 days by December 2023 before slightly decreasing to 49 days in March 2024.
Overall Analysis
The data indicates a pattern of alternating payables efficiency, with periods of quicker payments (higher turnover ratio and lower days outstanding) followed by periods of more extended payment durations. The peak efficiency occurred in late 2020, with the fastest turnover and shortest payment periods. Conversely, the trend toward longer payment periods and lower turnover ratios in late 2023 suggests a relaxation in payment discipline or adjustments in working capital management strategies. Such fluctuations may be influenced by operational factors, supplier negotiations, cash flow considerations, or broader economic conditions impacting the company during these periods.

Cash Conversion Cycle

Teradyne Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Dec 31, 2022 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Dec 31, 2021 Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020
Selected Financial Data
Average inventory processing period
Average receivable collection period
Average payables payment period
Short-term Activity Ratio
Cash conversion cycle1
Benchmarks
Cash Conversion Cycle, Competitors2
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Based on: 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29).

1 Q1 2024 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


Average Inventory Processing Period
The average inventory processing period shows a fluctuating trend over the observed quarters, starting at 64 days and initially declining to a low of 54 days in September 2020. Subsequently, it demonstrates a generally increasing pattern, peaking at 106 days in July 2023 before slightly declining to 99 and then rising again to 101 days by the end of March 2024. This suggests a lengthening time for inventory turnover in the more recent periods.
Average Receivable Collection Period
The average receivable collection period exhibits significant variability, with a high of 91 days in June 2020, followed by a decline to 54 days in December 2021. After December 2021, the period fluctuates moderately between 55 to 63 days, ending at 59 days in March 2024. The trend indicates an overall improvement in receivable collection efficiency after mid-2020, stabilizing at a shorter duration in recent quarters.
Average Payables Payment Period
The average payables payment period varies between 37 and 58 days during the timeline. Initially starting at 45 days in March 2020, it experienced its lowest values during late 2020 and early 2021 around 37 to 40 days. A rising trend is noticeable beginning mid-2022, reaching its peak at 58 days in July 2023 before slightly tapering to 49 days at the close of March 2024. This pattern indicates a tendency to extend payment terms to suppliers in recent periods, peaking in mid-2023 and then contracting somewhat.
Cash Conversion Cycle
The cash conversion cycle displays notable fluctuations. It begins at 90 days in March 2020, increasing to a peak of 122 days in July 2023, followed by a decline to 99 days in December 2023 and a rise again to 111 days at the end of March 2024. The cash conversion cycle generally reflects the combined effects of the inventory processing period, receivable collection period, and payables payment period. The recent trend indicates an overall lengthening cash conversion cycle primarily driven by increasing inventory days, despite relatively stable receivables and slightly extended payables.