Stock Analysis on Net

Motorola Solutions Inc. (NYSE:MSI)

$22.49

This company has been moved to the archive! The financial data has not been updated since August 1, 2024.

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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: 2024-06-29), 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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).


The analysis of the financial ratios over the reported periods reveals several key trends concerning the company's working capital management and operational efficiency.

Inventory Turnover
The inventory turnover ratio exhibited a declining trend from early 2020, decreasing from 8.85 to a low of 4.03 in the fourth quarter of 2022. Following this, there was a gradual recovery, increasing to 6.42 by mid-2024. This suggests that inventory was being sold and replenished less frequently during 2020 to 2022, potentially indicating slower sales or higher inventory levels before improving operational management in recent quarters.
Receivables Turnover
Receivables turnover showed variability, starting at 5.59 in early 2020, peaking at 7.20 in mid-2022, and declining thereafter to values around 5.91 by mid-2024. This fluctuation indicates some inconsistency in the collection efficiency, with periods of faster collections followed by slower ones.
Payables Turnover
The payables turnover ratio also fluctuated, reaching highs above 7 in several quarters between 2020 and 2023, but generally showing a declining tendency towards the end of the period analyzed, finishing near 5.99 in mid-2024. This suggests the company varied its payment pace to suppliers, at times extending payment periods.
Working Capital Turnover
Working capital turnover presented erratic patterns with significant spikes, notably reaching 21.04 in early 2022, followed by a steep drop to 9.29 and fluctuations thereafter. The data reflects inconsistent utilization of working capital, with some quarters showing highly efficient use while others indicate less productivity.
Average Inventory Processing Period
The average inventory processing period increased steadily from 41 days in early 2020 to a peak of 91 days in the final quarter of 2022, indicating slower inventory movement. This was followed by a gradual reduction to 57 days by mid-2024, in line with the recovery in inventory turnover.
Average Receivable Collection Period
The collection period varied between roughly 50 and 68 days, showing an increase during some quarters in 2020 and 2021 before somewhat stabilizing near the low 60s in recent periods. This reflects a moderate consistency in collection practices with occasional looseness.
Operating Cycle
The operating cycle lengthened from approximately 93 days in mid-2020 to a high of 148 days at the end of 2022, indicating extended periods between cash outlay and cash recovery. This longer cycle suggests challenges in either inventory turnover or receivables collection during that time. More recently, the cycle shortened to approximately 119 days by mid-2024.
Average Payables Payment Period
The payables payment period fluctuated moderately, extending to a high of 79 days at the end of 2022, before declining to around 61 days by mid-2024. This tendency to delay payments around 2021-2022 may have been a strategic cash flow management decision.
Cash Conversion Cycle
The cash conversion cycle increased from 44 days in mid-2020 to a peak of 82 days in early 2023, indicating a longer time to convert resource inputs into cash flows. Subsequently, it declined back to around 58 days by mid-2024, reflecting an improvement in operational efficiency and working capital management.

Overall, the data illustrates a period of growing operational delays and working capital inefficiency peaking around 2021-2022, followed by signs of recovery and improved performance in 2023 and 2024. The metrics related to inventory and receivables management as well as supplier payments suggest that the company experienced challenges in cash flow timing but has taken measures to enhance financial cycle efficiency in recent quarters.


Turnover Ratios


Average No. Days


Inventory Turnover

Motorola Solutions Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

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.


Cost of Sales
The cost of sales values display a noticeable seasonal and cyclical pattern over the analyzed quarters. From March 2019 through December 2019, costs of sales rose steadily from $884 million to $1,156 million, indicating increased production or sales volume in that year. Early 2020 shows a decline reaching a low of $852 million in June 2020, likely reflecting disruptions or lower activity during that period. Subsequently, costs increased again, peaking at $1,393 million in December 2023, which suggests heightened operational activity or inflationary impacts. Although the costs show fluctuations, the overall trend over the five-year horizon is upward, with recent quarters in 2023 and 2024 maintaining relatively elevated cost levels between $1,197 million and $1,393 million.
Inventories, Net
Inventory levels started at $425 million in March 2019 and remained relatively stable in the initial quarters of 2019. Starting early 2021, there was a considerable rise in inventories, peaking at $1,157 million by October 2022. This steady buildup suggests either stockpiling in anticipation of increased demand or slower inventory turnover. Subsequently, inventories decreased to $803 million by June 2024, indicating an improvement in inventory management or a reduction in stock levels. The elevated inventory levels between 2021 and 2022 might also reflect supply chain adaptations or adjustments due to market conditions.
Inventory Turnover Ratio
The inventory turnover ratio illustrates a declining trend initially, moving from a ratio of 8.85 in March 2019 down to a low near 4.03 by December 2022. This decrease corresponds with the rising inventory levels and suggests slower movement of inventory relative to costs of sales, hinting at possible overstocking or reduced sales efficiency. However, starting in 2023, the turnover ratio recovers progressively, reaching 6.42 by June 2024. This rebound indicates improved inventory management, faster sales, or better alignment between inventory and sales volumes in recent periods. The inverse relationship between inventory levels and turnover ratio throughout the timeframe aligns with expected financial dynamics.
Overall Insights
The data indicates a company balancing between managing increasing costs and adapting its inventory strategy. Initial increases in costs of sales and inventory accumulation through 2019 to 2022 suggest growth or preparatory stockpiling. The subsequent decrease in inventory levels along with an improving turnover ratio from 2023 onwards implies enhanced operational efficiency and possibly tighter inventory controls. The upward trend in costs during recent quarters warrants monitoring for cost containment or pricing strategies to preserve margins amid higher operational expenses.

Receivables Turnover

Motorola Solutions Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

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 quarterly financial data indicates several notable trends and fluctuations over the analyzed periods.

Net Sales
Net sales generally exhibit an overall upward trajectory from the beginning of the period through the end, with some volatility. There is a decline seen in the early 2020 quarters, notably in March and June 2020, where sales dropped significantly compared to the same quarters in 2019. This decline likely reflects challenging market conditions during that time. Starting from late 2020 and throughout 2021 and 2022, net sales gradually recovered and increased steadily, reaching a peak in the fourth quarter of 2022. The growth trend continues into 2023 and early 2024, with periodic increases and slight decreases but maintaining a higher sales level compared to the earlier years.
Accounts Receivable, Net
The accounts receivable balance follows somewhat similar patterns to net sales but with less pronounced volatility. There is a trend of gradual increase throughout most periods, with slight dips occurring in the early 2020 quarters, corresponding with the decrease in net sales. Receivables grow especially in late 2022 and through 2023, peaking near the end of 2023 and in mid-2024. This suggests increased sales on credit or possibly longer collection periods. The overall increase in receivables is consistent with the company's expanded sales volume over the years.
Receivables Turnover Ratio
The receivables turnover ratio fluctuates throughout the periods but remains within a range between approximately 5.3 and 7.2 times. The higher turnover ratios are observed mainly between the mid-2019 and mid-2020 periods and again towards mid-2022, indicating more efficient collections during these times. Conversely, the turnover ratio declines in late 2019, early 2021, and late 2023, which could imply longer days sales outstanding or slower collection cycles during those quarters. Despite these fluctuations, the ratio does not show a consistent upward or downward trend, reflecting variability in receivables management in relation to credit sales over time.

In summary, the data reveals a recovery and strengthening in net sales after a dip in early 2020, with accounts receivable generally increasing in line with sales growth. The receivables turnover ratio's variability suggests intermittent changes in credit collection effectiveness but no sustained degradation or improvement. Overall, the company's sales operations demonstrate growth and expanding credit exposure with fluctuating efficiency in receivables collection across the reported periods.


Payables Turnover

Motorola Solutions Inc., payables turnover calculation (quarterly data)

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

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 noteworthy trends across the items presented.

Costs of Sales
Costs of sales show a general upward trend over the analyzed periods with notable seasonal fluctuations. From March 2019 to December 2019, costs increased steadily from 884 million US dollars to 1,156 million. A sharp decline occurred in the first half of 2020, likely reflecting operational challenges or market conditions at that time, with costs dropping to around 852-868 million. Subsequently, costs recovered and increased throughout the remainder of 2020 and 2021, peaking at 1,137 million at the end of 2021. In 2022 and 2023, there was a more pronounced rise, reaching a peak of 1,393 million in the fourth quarter of 2023. Recent quarters in 2024 show fluctuations but costs remain elevated compared to earlier years, suggesting increased cost pressures or expanded operations.
Accounts Payable
Accounts payable display variability without a consistent directional trend. Starting at 558 million in March 2019, the figure fluctuated moderately before a noticeable increase in the last quarter of 2021 to 851 million. This higher level of payables largely persisted throughout 2022, reflecting increased short-term liabilities or extended credit terms. However, in 2023, payables declined in the first half, dropping to as low as 676 million, before rising again to 881 million in the fourth quarter. The early quarters of 2024 show a decrease again but remain above earlier years’ levels. These patterns may indicate variability in supplier relationships or cash management strategies over time.
Payables Turnover Ratio
The payables turnover ratio demonstrates oscillating behavior across the periods, indicating changes in the efficiency of accounts payable management. The ratio increased from approximately 6.4 in the first quarter of 2020 to over 7.7 in the third quarter, suggesting faster payment to suppliers during this time. Thereafter, the ratio declined steadily to a low near 4.6 by the fourth quarter of 2021, interpreted as slower payment cycles or extended credit. Following this low point, the ratio rose again toward mid-to-high 6s and low 7s in 2023, indicating periodic acceleration in payments. The first two quarters of 2024 see a slight decrease back to just under 6.0, suggesting a moderate slowing of payables turnover recently. Overall, these fluctuations imply adaptive management in relation to working capital and supplier terms responding to operational or market conditions.

Working Capital Turnover

Motorola Solutions Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

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 figures demonstrate significant volatility over the analyzed period. Initially, working capital increased from $735 million in March 2019 to a peak of $1,476 million in July 2021, indicating an expansion in current assets relative to current liabilities. After this peak, a sharp decline is observed, with working capital turning negative in September 2023 (-$256 million) and remaining negative or near zero through early 2024. The fluctuation suggests potential challenges in managing short-term liquidity or changes in working capital components during later periods.
Net Sales
Net sales show an overall upward trajectory with some fluctuations. Starting at $1,657 million in March 2019, sales generally increase to a high of $2,848 million by December 2023. Despite a slight dip during early 2020, likely reflecting external economic factors, a recovery and steady growth trend is evident through subsequent quarters. The most recent quarters show some decline from the December 2023 peak, but sales remain substantially higher than earlier periods, indicating ongoing market expansion or improved sales strategies.
Working Capital Turnover Ratio
The working capital turnover ratio exhibits considerable variability, reflecting changes in the efficiency of utilizing working capital to generate sales. Early data is incomplete, but from March 2020 onward, the ratio fluctuates between lows of approximately 5.34 and highs exceeding 21. Notably, an exceptionally high ratio of 21.04 is recorded in April 2022, suggesting very efficient use of working capital to generate sales in that quarter, possibly due to low working capital or high sales. The ratio declines again in subsequent quarters, aligning more closely with the typical range of approximately 9 to 14. Missing values in several periods impede a continuous trend analysis but the available data highlights fluctuations in operational efficiency related to working capital management.
Summary
The financial data illustrates growth in net sales alongside volatile working capital management. The substantial rise and subsequent decline in working capital may indicate strategic shifts or operational adjustments affecting liquidity management. While net sales generally trend upward, reflecting solid market performance, the unstable working capital and its turnover ratios merit attention to ensure sustainable short-term financial health and operational efficiency. The negative working capital readings in late 2023 could suggest increased short-term financial pressure or investment in growth that requires monitoring in future periods.

Average Inventory Processing Period

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

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Inventory Turnover Trend
The inventory turnover ratio remained consistently high around 8.8 to 8.9 in 2020 Q1 and Q2, indicating efficient inventory management during this period. However, starting from Q3 2020, the ratio exhibited a gradual and sustained decline, reaching a low point of approximately 4.0 in late 2022. This suggests a slowdown in the rate at which inventory was sold and replaced.
From early 2023 onwards, the inventory turnover ratio began to improve steadily, rising from approximately 4.6 to over 6.4 by mid-2024. This resurgence indicates a recovery in operational efficiency and potentially stronger sales or inventory management practices in recent quarters.
Average Inventory Processing Period Trend
The average inventory processing period increased in the first half of the observed period, rising from about 41 days in early 2020 to a peak of approximately 91 days by the end of 2022. This lengthening of the inventory holding period corresponds inversely to the falling inventory turnover ratio, suggesting slower movement of inventory and possibly increasing holding costs.
Starting in early 2023, the average processing period began to decrease progressively, dropping from near 79 days to about 57 days by mid-2024. This reduction aligns with the improvement in inventory turnover and indicates enhanced inventory management efficiencies or increased demand leading to faster stock turnover.
Overall Insights
The period analyzed shows an initial phase of strong inventory management followed by a significant deterioration through 2020 to 2022, likely impacted by external factors affecting sales or supply chain operations. The subsequent recovery in 2023 and 2024 suggests corrective actions or an improved market environment, resulting in quicker inventory cycles and better utilization of stock.

Average Receivable Collection Period

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

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 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 variability over the observed periods, with values ranging approximately between 5.33 and 7.20. Early data starting from March 2020 show a moderate ratio of 5.59, improving sharply to a peak of 7.03 in June 2020, indicating enhanced efficiency in collecting receivables during that quarter. Subsequently, the ratio declines to levels near 6.50 towards the end of 2020. In 2021, a similar fluctuating pattern is observed, with a notable decrease to 5.90 in the first quarter and a peak around 6.91 in mid-year, followed by a gradual reduction by year-end. Through 2022 and into 2023, the turnover ratio generally trends downward, hitting lows near 5.84 to 5.90 late in 2023. By mid-2024, the ratio slightly recovers to about 6.40 but then decreases to 5.91. This oscillation suggests fluctuating collection effectiveness, with periods of improved turnover alternating with declines, signifying inconsistent management of accounts receivable.
Average Receivable Collection Period
The average collection period, measured in days, inversely mirrors the turnover ratio trends. Starting around 65 days in March 2020, it improves significantly to 52 days in June 2020, aligning with the peak in turnover ratio, which indicates faster receivables collection. Subsequent quarters show moderately increasing days to collect, rising to approximately 56 days by the end of 2020. In 2021, the average collection period decreases again, reaching lows between 51 and 54 days during mid-year, suggesting enhanced efficiency. However, the period lengthens to about 62 days by year-end 2021. Throughout 2022 and 2023, the collection period fluctuates between roughly 55 and 63 days, indicating variability in the time taken to convert receivables into cash. By mid-2024, the period is again around 62 days, reflecting somewhat slower collections relative to earlier peaks. These patterns correspond to the fluctuations seen in receivables turnover and imply periods of both improved and relaxed credit collection practices.
Overall Analysis
The data reveal cyclical changes in receivables management, with efficiency notably peaking in mid-2020 and mid-2021 as indicated by higher turnover ratios and shorter collection periods. Following these peaks, the company experiences gradual declines in turnover and increases in collection days, suggesting challenges in maintaining consistent receivables performance. The variability may be influenced by external factors impacting customer payment behavior or internal credit control policies. The lack of a clear, sustained trend underscores the need for continued focus on optimizing credit and collection processes to stabilize and improve cash flow efficiency.

Operating Cycle

Motorola Solutions Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


Average Inventory Processing Period
The average inventory processing period shows a generally increasing trend from March 2020 through the end of 2022. Starting at 41 days in March 2020, it gradually extended to a peak of 91 days by December 2022. Following this peak, the period began to decline, reaching 57 days by June 2024. This pattern indicates a lengthening of inventory holding times through late 2022, followed by an improvement in inventory turnover in the subsequent quarters.
Average Receivable Collection Period
The average receivable collection period fluctuates over the reported timeframe, without a strong sustained trend. It started at 65 days in March 2020, dropped to a low of approximately 51 days by April 2022, then experienced some variability with higher values appearing intermittently, reaching around 63 days during late 2023. The latest data point at June 2024 shows a decrease to 62 days. This variability suggests inconsistent collection efficiency, with some periods indicating faster collections and others showing lengthening cycles.
Operating Cycle
The operating cycle, which combines the inventory processing and receivable collection periods, reflects an overall increase from March 2020 to late 2022, rising from 106 days to a high around 148 days by December 2022. Thereafter, the cycle exhibits a gradual decline, improving to approximately 119 days by June 2024. This trend corresponds with the behaviors observed in inventory and receivables periods, implying that operational efficiency experienced deterioration into late 2022 followed by a partial recovery.
Summary Insights
The data reveals that the company encountered extended inventory holding and longer overall operating cycles reaching their peaks near the end of 2022. This was likely indicative of supply chain or demand challenges causing slower inventory turnover and longer capital recovery times. While receivable collection periods show more fluctuation, the combined effect with inventory trends resulted in a prolonged operating cycle in recent years. The improvements seen post-2022, with reductions in inventory days and operating cycle length, suggest efforts to enhance working capital management and operational efficiency have been somewhat effective.

Average Payables Payment Period

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

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 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 noticeable fluctuations over the observed periods. Starting from a value of 6.4 in March 2020, the ratio increased to a peak of 7.76 in September 2020, indicating a faster rate of payables turnover during this period. Subsequently, there was a general decreasing trend with some volatility, hitting a low around 4.6 in April 2022, which suggests a slower turnover rate. Following this trough, the ratio recovered somewhat, reaching values above 7 again by mid-2023, before declining slightly towards mid-2024, ending near 6.0. Overall, the ratio reflects periods of both improved and slowed payables management, with notable volatility across quarters.
Average Payables Payment Period (Days)
The average payable payment period displays an inverse pattern relative to the payables turnover ratio. Starting from 57 days in March 2020, the payment period shortened to a minimum of 47 days in September 2020, consistent with the peak turnover ratio at that time. Thereafter, it extended significantly, reaching a maximum of 79 days by late 2022, reflecting slower payment cycles. Following this extension, the period shortened again toward mid-2023, dropping near 49 days, indicating faster payments, before modestly increasing to around 61 days by mid-2024. These movements suggest strategic shifts in payment timing that correspond inversely with the payables turnover ratio.
Insights and Trends
The observed inverse correlation between payables turnover and average payment period is consistent with standard financial principles: higher turnover ratios correspond to shorter payment periods and vice versa. The considerable variation in both metrics over time indicates fluctuating payment policies or operational cash flow management strategies. The peaks and troughs around late 2020 and throughout 2022 suggest periods of adjustment, potentially influenced by external economic conditions or internal financial management decisions. The recent stabilization around mid-2023 to mid-2024 points to a moderation in payment practices. Maintaining an optimal balance through these metrics is critical for sustaining supplier relationships while managing liquidity effectively.

Cash Conversion Cycle

Motorola Solutions Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
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 Dec 31, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
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), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

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.


Average Inventory Processing Period
The average inventory processing period exhibits a general upward trend from 41 days in early 2020 to a peak of 91 days at the end of 2022. Following this peak, there is a noticeable decline to 57 days by mid-2024. This pattern suggests fluctuating inventory management efficiency, with an extended period of slower inventory turnover during 2022, before improvement in 2023 and early 2024.
Average Receivable Collection Period
The receivable collection period fluctuates between approximately 50 and 68 days throughout the observed quarters. Early 2020 shows a declining trend from 65 to 52 days, followed by a resurgence to peak values in the low 60s during 2021 and 2023. This variability indicates inconsistency in credit collection practices, with periods of both improved and prolonged collection times.
Average Payables Payment Period
The payable payment period demonstrates significant variability, ranging from a low of 46 days in mid-2020 to a high of 79 days in early 2023. Earlier in the timeline, payables periods generally decreased from 57 to around 47 days, then increased markedly through 2021 and into 2022, reflecting a shift toward extended payment terms with suppliers in this latter period. This suggests a possible strategy to optimize cash outflows by postponing payments.
Cash Conversion Cycle
The cash conversion cycle (CCC) remains within a range of approximately 44 to 82 days, with a rising trend observed from early 2020 to late 2022. The CCC peaks at 82 days in late 2023, indicating a longer duration for cash to be tied up in the operating cycle. A reduction follows in 2024, lowering the CCC to 58 days by mid-year. The initial increase could indicate increased operational inefficiencies or changes in working capital management, while the subsequent decrease suggests efforts to improve liquidity and cash flow efficiency.
Overall Insights
The data reveals periods of operational strain, particularly from 2021 through 2022, where inventory turnover slowed, collection periods lengthened, and payment periods were extended, collectively contributing to an elongated cash conversion cycle. The trends imply that the company may have been managing working capital to conserve cash, at the cost of slower asset turnover. The reversal of these trends starting in 2023 indicates a possible strategic shift toward enhancing operational efficiency and working capital management to free up cash more quickly.