Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Paying user area
Try for free
Motorola Solutions Inc. pages available for free this week:
The data is hidden behind: . Unhide it.
Get full access to the entire website from $10.42/mo, or
get 1-month access to Motorola Solutions Inc. for $22.49.
This is a one-time payment. There is no automatic renewal.
We accept:
Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
- Inventory Turnover
- The inventory turnover ratio exhibited a consistent decline from 8.91 in early 2020 to a low point around 4.03 by late 2022, indicating a slower rate of inventory being sold or used. However, since late 2022, the ratio has shown a recovery trend, increasing to approximately 6.42 by mid-2024, reflecting improved inventory management or stronger sales activity.
- Receivables Turnover
- The receivables turnover ratio presented fluctuations, starting at 7.03 and generally decreasing to around 5.9 by the end of 2020. It then rose again, peaking at about 7.2 in early 2022, followed by moderate variability and a slight decline toward mid-2024, ending near 5.91. This pattern suggests variable efficiency in collecting receivables over the period.
- Payables Turnover
- A downward trajectory was evident in payables turnover, beginning at 7.42 and reaching a trough of about 4.6 in late 2022, which points to slower payment to suppliers. This was followed by an uptick, nearing 7.45 in mid-2023 before another moderate decline toward mid-2024. The variation denotes changing payment practices, with periods of extended payment timelines.
- Working Capital Turnover
- Working capital turnover experienced significant volatility, starting at 13.1 and dropping steadily to as low as 5.34 by mid-2021. A notable spike occurred in early 2022, reaching 21.04, followed by fluctuating but generally lower values through 2023 and early 2024. Such swings indicate varying efficiency in using working capital to generate revenue, with occasional periods of heightened activity.
- Average Inventory Processing Period
- The average days inventory remained consistently lengthening from 41 days in early 2020 up to a peak of 91 days by late 2022, indicating slower inventory turnover and potential buildup of stock. Subsequently, there was a gradual reduction to 57 days by mid-2024, suggesting improvements in inventory management and turnover speed.
- Average Receivable Collection Period
- This metric oscillated, starting at 52 days and increasing to a high of 68 days at the end of 2020, then trending downward and upward intermittently, remaining mostly in the range between 50 and 63 days. This points to inconsistent credit and collection practices over the reported periods.
- Operating Cycle
- The operating cycle extended notably from 93 days to a peak of 148 days in late 2022, before gradually declining to about 119 days by mid-2024. The initial increase reflects longer durations to turn inventory and receivables into cash, while the later decrease indicates some improvement in operational efficiency.
- Average Payables Payment Period
- The average time taken to pay suppliers fluctuated, starting near 49 days and rising to 79 days at the end of 2022, implying extended payment terms or delays. This was followed by a reduction and some volatility in 2023 and 2024, suggesting adjustments in supplier payment strategies.
- Cash Conversion Cycle
- The cash conversion cycle lengthened from 44 days in early 2020 to a high of 82 days in mid-2023, reflecting increasing time to convert resource inputs into cash flows. A subsequent decline to approximately 58 days by mid-2024 suggests enhanced liquidity and operational cash flow management.
Turnover Ratios
Average No. Days
Inventory Turnover
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||
| Costs of sales | ||||||||||||||||||||||||
| Inventories, net | ||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||
| Inventory turnover1 | ||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Inventory turnover
= (Costs of salesQ2 2024
+ Costs of salesQ1 2024
+ Costs of salesQ4 2023
+ Costs of salesQ3 2023)
÷ Inventories, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals distinct patterns in costs of sales, inventories, and inventory turnover ratios over the examined periods.
- Costs of Sales
- The costs of sales demonstrate a general upward trend with fluctuations throughout the quarters. Starting at 868 million USD in March 2020, costs moderately declined in mid-2020 but then increased steadily from late 2020 through the end of 2022, peaking at 1,356 million USD. In 2023 and early 2024, the costs fluctuated but remained relatively high, ranging between approximately 1,125 million and 1,393 million USD. The pattern indicates periodic increases consistent with possible seasonal or operational factors affecting production or service costs.
- Net Inventories
- Net inventories increased consistently from 442 million USD in March 2020 to a peak of 1,157 million USD in October 2022. After reaching this peak, inventories showed a declining trend through 2023 and into the second quarter of 2024, reducing to around 803 million USD. This rise and subsequent decline may reflect inventory accumulation strategies followed by efforts to manage or reduce inventory levels, possibly in response to changes in sales or supply chain conditions.
- Inventory Turnover Ratio
- The inventory turnover ratio exhibits a declining trend from 8.91 in March 2020 to a low of approximately 4.03 in October 2022, indicating that inventory was being sold and replenished less frequently over this period. However, from late 2022 through mid-2024, the ratio shows a recovery, increasing back to around 6.42 by June 2024. This improvement signals more efficient inventory management or stronger sales activity relative to inventory levels in the most recent periods.
Overall, the data depict a scenario where rising costs and accumulating inventories initially led to decreased inventory turnover. This situation then reversed as inventory levels were brought down and turnover ratios improved, reflecting better alignment between inventory management and sales activity in the latter part of the period analyzed.
Receivables Turnover
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||
| Net sales | ||||||||||||||||||||||||
| Accounts receivable, net | ||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||
| Receivables turnover1 | ||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Receivables turnover
= (Net salesQ2 2024
+ Net salesQ1 2024
+ Net salesQ4 2023
+ Net salesQ3 2023)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals notable fluctuations in net sales, accounts receivable, and receivables turnover over the periods analyzed. Net sales exhibit a pattern of growth interrupted by periodic declines. Starting from US$1,655 million in the first quarter of 2020, sales decreased slightly in the second quarter but increased significantly by the end of 2020, reaching US$2,273 million. The first half of 2021 saw a decline, followed by a recovery and steady increases, culminating in a peak of US$2,848 million by the end of 2023. Early 2024 shows some reduction in sales compared to the previous quarter but remains elevated compared to early 2020 levels.
Accounts receivable, net, similarly reflect fluctuations that somewhat mirror those in net sales but with differing magnitudes. The balance decreased in the early quarters of 2021 compared to late 2020, followed by gradual increases, reaching a peak of US$1,710 million at the end of 2023. The first half of 2024 records a minor decrease but maintains higher levels than those observed at the start of the data set.
The receivables turnover ratio, an indicator of how efficiently receivables are collected, demonstrates variability with a generally downward trend mid-period, followed by modest recovery attempts. The ratio peaked at 7.03 in the first quarter of 2020, declined to 5.33 by the end of 2020, suggesting slower collections, then increased and fluctuated between approximately 5.8 and 7.2 over the following quarters. The ratio decreased again towards mid-2024, indicating a potential slowing in the collection efficiency relative to net sales volume.
- Net Sales
- Exhibit a generally upward trend with cyclical declines, peaking at US$2,848 million in December 2023.
- Accounts Receivable, Net
- Follow an upward trajectory with periods of contraction; the highest recorded balance is US$1,710 million as of December 2023.
- Receivables Turnover Ratio
- Varies between 5.33 and 7.2, indicating fluctuations in the efficiency of receivables collection; the trend shows some decline in recent quarters.
Overall, the data suggests that while sales volumes have generally increased over the reported periods, the efficiency of converting sales into cash has experienced some deterioration at times, as reflected in the receivables turnover ratio. This could imply longer collection periods or credit management challenges during certain periods. The increases in accounts receivable correspond with higher sales but also warrant monitoring to ensure optimal cash flow management.
Payables Turnover
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||
| Costs of sales | ||||||||||||||||||||||||
| Accounts payable | ||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||
| Payables turnover1 | ||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Payables turnover
= (Costs of salesQ2 2024
+ Costs of salesQ1 2024
+ Costs of salesQ4 2023
+ Costs of salesQ3 2023)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals several notable trends and patterns over the examined periods.
- Costs of Sales
- Costs of sales demonstrate a generally increasing trend from early 2020 through mid-2024, although some fluctuations are evident. Starting at 868 million USD in the first quarter of 2020, these costs rose sharply toward the end of 2020, reaching over 1.1 billion USD. During 2021 and into 2022, the costs continued to increase with some quarter-to-quarter variations, peaking at approximately 1.356 billion USD in the final quarter of 2022. The first half of 2023 saw a slight reduction followed by a renewed upward movement, culminating in a figure of 1.289 billion USD by mid-2024. This upward trajectory indicates rising production or procurement expenses, possibly tied to expanded operations or inflationary pressures.
- Accounts Payable
- Accounts payable exhibit an overall increasing pattern, albeit with notable volatility. Initially recorded at 531 million USD in March 2020, the payable balance decreased somewhat during the early quarters of 2021 but then increased sharply toward the end of 2021, peaking at 1.062 billion USD in December 2021. Following this peak, payables decreased during the first half of 2023, but again rose toward mid-2024, ending slightly below 900 million USD. This variability might reflect changes in supplier payment terms, timing of purchases, or cash flow management strategies.
- Payables Turnover Ratio
- The payables turnover ratio, which measures how quickly the company pays its suppliers, shows a declining trend from the beginning of 2020 through early 2022, dropping from 7.42 to a low of approximately 4.60. This suggests that the company was taking longer to settle its payables during this period. However, from mid-2022 onward, the ratio improved with fluctuations, reaching values above 7.0 at certain points in 2023, before slightly decreasing again by mid-2024. These movements imply varying payment practices, potentially influenced by cash flow management decisions or changes in supplier agreements.
Overall, the data indicates that while costs of sales have increased steadily, accounts payable have fluctuated considerably, and the payables turnover ratio reflects diverse payment timing behaviors. The company appears to be managing rising costs amid dynamic supplier payment patterns, which could have implications for working capital management and operational efficiency.
Working Capital Turnover
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||
| Current assets | ||||||||||||||||||||||||
| Less: Current liabilities | ||||||||||||||||||||||||
| Working capital | ||||||||||||||||||||||||
| Net sales | ||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||
| Working capital turnover1 | ||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Working capital turnover
= (Net salesQ2 2024
+ Net salesQ1 2024
+ Net salesQ4 2023
+ Net salesQ3 2023)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Working Capital
- The working capital demonstrated considerable fluctuation over the examined quarters. It initially exhibited moderate growth from 602 million to 847 million US dollars between March 2020 and April 2021. Following this, a significant increase was observed, reaching a peak of 1,476 million in July 2021. However, the value then declined markedly with a sharp drop into negative territory by the third quarter of 2023, reflecting a working capital deficit of 256 million US dollars. The most recent quarters indicate a recovery trend, with working capital returning to positive figures around 900 million US dollars.
- Net Sales
- Net sales showed a generally upward trend throughout the periods analyzed. Starting at 1,655 million US dollars in March 2020, sales experienced a few fluctuations but primarily increased, reaching 2,848 million by December 2023. Despite some quarterly variations, the overall growth trajectory suggests steady revenue expansion, with intermittent accelerations observed toward year-end periods.
- Working Capital Turnover Ratio
- The working capital turnover ratio illustrates an inverse pattern relative to working capital. Initially, the ratio declined from 13.1 to 5.34 between March 2020 and July 2021, coinciding with the increase in working capital. Subsequently, the turnover ratio rebounded, peaking at 21.04 in April 2022, indicative of more efficient use of working capital relative to sales during this period. The turnover ratio remained relatively stable around 11 in the most recent periods, reflecting a normalization in relationship between sales and working capital following earlier volatility.
- Overall Analysis
- The data reveals a period of dynamic operational adjustments. The increase in working capital through mid-2021 points to possible inventory build-up or receivables growth. The concurrent decrease in working capital turnover ratio during this time suggests that more capital was tied up to generate sales. Conversely, the subsequent decline and negative dip in working capital in late 2023 indicate possible tightening of working capital management or changes in current liabilities. Despite these fluctuations, net sales expanded consistently, suggesting strong market demand or improved sales capabilities. The working capital turnover ratio trends support interpretations of shifting efficiency patterns in managing short-term resources over the quarters.
Average Inventory Processing Period
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||
| Inventory turnover | ||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||
| Average inventory processing period1 | ||||||||||||||||||||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Inventory Turnover
- The Inventory Turnover ratio demonstrates a downward trend from March 2020 through December 2022, decreasing from 8.91 to a low of 4.03. This indicates that the company was turning over inventory at a slower rate during this period, suggesting possible inventory buildup or slower sales. However, starting in December 2022, there is a noticeable improvement with the ratio increasing steadily to 6.42 by June 2024. This rebound reflects enhanced efficiency in managing and selling inventory in the most recent quarters.
- Average Inventory Processing Period
- The Average Inventory Processing Period, which measures the number of days inventory is held before sale, inversely mirrors the Inventory Turnover trend. It increased significantly from 41 days in March 2020 to a peak of 91 days in October 2022, indicating longer inventory holding times. From that peak, the period shortens progressively to 57 days by June 2024, reflecting improved inventory management and faster conversion of inventory into sales.
- Overall Inventory Management Insights
- The combined analysis of these two metrics suggests that the company experienced growing challenges in inventory turnover through late 2022, likely reflecting operational or demand-side pressures. The subsequent improvement highlights a strategic adjustment or recovery, with more efficient inventory handling contributing to better liquidity and potentially improved sales performance in early 2023 and onwards.
Average Receivable Collection Period
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||
| Receivables turnover | ||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||
| Average receivable collection period1 | ||||||||||||||||||||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of the receivables turnover ratio and the average receivable collection period over the reported quarters reveals notable fluctuations indicative of changing efficiency in the accounts receivable management.
- Receivables Turnover Ratio
- The receivables turnover ratio generally oscillates between approximately 5.33 and 7.20 over the observed timeline. An initial decline is observed from a higher ratio near 7.03 to a lower point around 5.33 by the end of 2020, suggesting a slowdown in collections or an increase in outstanding receivables relative to sales during that period. Subsequently, there is a recovery to levels above 7.0 in early 2022, followed again by fluctuations mostly trending downward towards approximately 5.91 by mid-2024. Overall, this indicates variations in the speed at which the company collects its receivables, with periods of both improved and decreased efficiency.
- Average Receivable Collection Period
- This metric exhibits an inverse pattern relative to the receivables turnover ratio, as typically expected. Starting from about 52 days, it increases to a peak near 68 days at the end of 2020, reflecting slower collections during that timeframe. Thereafter, the period shortens to close to 51 days by early 2022, indicating an improvement. However, it lengthens again afterwards, reaching around 62–63 days in later observations. The variations suggest intermittent challenges in reducing the time it takes to collect receivables, with the latter periods reflecting a somewhat slower collection pace than the initial quarters.
- Overall Trends and Insights
- The company experienced a noticeable deterioration in receivables management efficiency towards the end of 2020, which was partially reversed by early 2022. The subsequent period reveals ongoing fluctuations with a modest downward trend in turnover and an uptick in collection days, hinting at potential stress or relaxation in credit policies or changes in sales quality. These dynamics underscore the importance of continued attention to accounts receivable policies and collection practices to maintain liquidity and operational efficiency.
Operating Cycle
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||
| Average inventory processing period | ||||||||||||||||||||||||
| Average receivable collection period | ||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||
| Operating cycle1 | ||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||
| Operating Cycle, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
- Inventory Processing Period
- The average inventory processing period displays a generally increasing trend from early 2020 to late 2022, starting at 41 days and reaching a peak of 91 days in October 2022. This increase reflects a lengthening in the time taken to process inventory. Following this peak, a notable decrease occurs through 2023 and into mid-2024, declining to 57 days by June 2024. This pattern suggests an initial build-up or slowdown in inventory turnover, followed by improvements in inventory management or faster processing times towards the end of the period.
- Receivable Collection Period
- The average receivable collection period exhibits moderate fluctuations over the examined quarters, beginning at 52 days in March 2020 and varying mostly between the low 50s and mid-60s throughout the timeframe. Highlights include an increase from 54 days in June 2020 to 68 days by December 2020, indicating slower collections. Afterward, it generally stabilizes around the mid-50s to low-60s days range, with some variability. Towards mid-2024, the period reaches 62 days, signifying a somewhat extended time to collect receivables in recent quarters compared to the onset of the period.
- Operating Cycle
- The operating cycle lengthens consistently from 93 days in the first quarter of 2020 to its highest observed value of 148 days in October 2022. This upward trend correlates largely with the increasing inventory processing period as well as changes in receivable collection. After peaking, the operating cycle gradually shortens through 2023 and into the first half of 2024, dropping to 119 days by June 2024. This suggests an improvement in overall operational efficiency in converting inventory and receivables into cash during the latter part of the observed period.
- Summary
- Overall, the data illustrates a period of operational elongation through 2020 to 2022, marked by an increase in both the inventory processing and operating cycles. This was followed by a phase of operational recovery reflecting enhanced efficiency, with reductions in the time inventory is held and a slight improvement in receivable collections. The stabilization and improvement in these metrics towards mid-2024 may indicate adjustments to supply chain management or credit policies that improve working capital efficiency.
Average Payables Payment Period
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||
| Payables turnover | ||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||
| Average payables payment period1 | ||||||||||||||||||||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of the payable turnover ratio and the average payables payment period over the examined periods reveals distinct fluctuations and trends. These metrics provide insights into the company's efficiency in managing its payables.
- Payables Turnover Ratio
- The payables turnover ratio demonstrates variability throughout the time frame. Initially, the ratio remains relatively stable with values around 7.4 to 7.7 in early 2020, indicating a consistent rate of payment to suppliers. There is a noticeable decline toward the end of 2020, reaching a low of 4.85 in December 2021. Following this decline, the ratio improves again in 2023, increasing to 7.45 in July before slightly decreasing towards mid-2024.
- Average Payables Payment Period
- The average payables payment period, representing the number of days taken to pay suppliers, inversely correlates with the turnover ratio as expected. Early in the period, payment days are relatively low, around 46 to 51 days. By the end of 2021, this period extends sharply, peaking at 79 days in December 2022. Subsequently, the period shortens again from 2023 onwards but remains higher than the initial periods, fluctuating between 49 and 64 days through mid-2024.
- Trend Interpretation
- The decline in payables turnover and the corresponding increase in payment days during late 2020 through 2022 suggest a slowdown in the pace at which the company settled its obligations to suppliers. This change could indicate strategic adjustments in cash management, possibly extending payment terms to conserve cash or managing supplier relations differently during that time. The partial reversal of these trends in 2023 and 2024 points to a renewed emphasis on quicker payments, possibly reflecting improved liquidity or a change in credit terms with suppliers.
Cash Conversion Cycle
| Jun 29, 2024 | Mar 30, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | Dec 31, 2021 | Oct 2, 2021 | Jul 3, 2021 | Apr 3, 2021 | Dec 31, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 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 | ||||||||||||||||||||||||
| Apple Inc. | ||||||||||||||||||||||||
| Arista Networks Inc. | ||||||||||||||||||||||||
| Cisco Systems Inc. | ||||||||||||||||||||||||
| Dell Technologies Inc. | ||||||||||||||||||||||||
| Super Micro Computer Inc. | ||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28).
1 Q2 2024 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + – =
2 Click competitor name to see calculations.
The analysis of the financial cycles over recent quarters reveals distinct trends in inventory management, receivables collection, payables payment, and overall cash conversion efficiency.
- Average Inventory Processing Period
- This metric shows an increasing trend from around 41 days in early 2020 to a peak of 91 days by late 2022, indicating a lengthening inventory turnover period. However, since then, there has been a gradual reduction to 57 days by mid-2024, suggesting improvements in inventory management and faster processing or turnover.
- Average Receivable Collection Period
- The receivables collection period fluctuates moderately, starting at about 52 days in early 2020 and peaking near 68 days by the end of that year. Subsequently, it oscillates mostly between 50 and 63 days without a clear upward or downward trend, indicating relative stability in the time taken to collect receivables despite some periodic variation.
- Average Payables Payment Period
- The payables payment period initially hovers around 49 days in early 2020, rising to a high of approximately 79 days by the end of 2022, then declining to mid-50-day levels in early 2023 before moderately increasing again to around 60 days by mid-2024. This pattern suggests a shift in payment behavior, possibly reflecting strategic adjustments in managing payables to optimize cash flow.
- Cash Conversion Cycle
- The cash conversion cycle increases from approximately 44 days in early 2020 to a high of 82 days in mid-2023, indicating a longer duration for converting investments in inventory and receivables back into cash. Recently, this cycle shortens somewhat to 58 days by mid-2024, signaling improvements in working capital management and operational efficiency.
Overall, the data suggests an initial challenge with slower inventory turnover and delayed cash recovery, followed by a period of adaptation and improvement in operational efficiencies as reflected in the declining inventory period and shortened cash conversion cycle in recent quarters. Payables management appears to have been actively adjusted to balance liquidity needs with supplier relationships. Receivables collection remains relatively consistent, underscoring steady credit management practices.