Stock Analysis on Net

SolarEdge Technologies Inc. (NASDAQ:SEDG)

$22.49

This company has been moved to the archive! The financial data has not been updated since February 22, 2023.

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).


The analysis of the financial ratios over the reported quarters reveals several notable trends related to inventory management, receivables and payables efficiency, and working capital utilization.

Inventory Turnover
The inventory turnover ratio initially increased from 4.47 to a peak of 6.37 in September 2019, indicating improved efficiency in managing inventory. However, from 2019 onwards, there is a general declining trend, reaching values around 3.11 by the end of 2022. This suggests a slower rate of inventory turnover in recent periods.
Receivables Turnover
The receivables turnover exhibited fluctuations with a notable increase during early 2020, peaking at 8.76 in June 2020, reflecting quicker collection of receivables in that period. Subsequently, the ratio declined steadily, reaching approximately 3.44 by the end of 2022, indicating slower collection efficiency in later periods.
Payables Turnover
Payables turnover showed volatility, with peaks such as 8.65 in September 2021 and troughs as low as 4.93 at the end of 2022. The overall pattern suggests varying payment speeds to suppliers, with a general decline in turnover rate towards the latest quarters, implying longer payment intervals.
Working Capital Turnover
Working capital turnover experienced a decline from 2.87 in December 2019 to values slightly above 1.5 in the latter quarters of 2022. This gradual decrease indicates a reduced efficiency in generating sales from working capital over time.
Average Inventory Processing Period
The average inventory processing days increased significantly after 2019, from around 66 days to a peak of 128 days in March 2021. Although there were slight improvements subsequently, the period remained elevated, indicating slower inventory movement.
Average Receivable Collection Period
This period shortened markedly in early 2020, dropping to as low as 42 days in June 2020, but progressively increased to exceed 100 days by early 2022. The trend highlights initial improvements in collections followed by a deterioration in collection efficiency.
Operating Cycle
The operating cycle, combining inventory and receivables periods, shortened from an average of about 150 days in 2019 to a minimum of 123 days in March 2020, then progressively lengthened, reaching over 220 days by the end of 2022. This lengthening cycle suggests increased time from inventory acquisition to cash collection.
Average Payables Payment Period
The payables payment period fluctuated between roughly 40 to 70 days, with no clear consistent trend; however, the period lengthened notably towards the end of 2022, reaching 74 days, which implies longer payment terms or delays.
Cash Conversion Cycle
The cash conversion cycle decreased from 101 days in March 2019 to 75 days in March 2020, indicating enhanced efficiency in converting investments in inventory and receivables into cash. From that point, the cycle lengthened steadily, surpassing 140 days from 2021 onward and reaching approximately 149 days by the end of 2022, reflecting an overall decline in liquidity efficiency.

In summary, the data indicates a peak in operational efficiency in early 2020 across several metrics, notably in inventory turnover and receivables collection. Post-2020, there is a discernible decline in efficiency, marked by increased inventory holding periods, slower receivables collection, and longer cash conversion cycles. The extended payables payment period towards recent quarters may reflect strategic payment management or cash flow constraints. Overall, working capital utilization has become less efficient, potentially signaling challenges in managing the operating cycle amid evolving business conditions.


Turnover Ratios


Average No. Days


Inventory Turnover

SolarEdge Technologies Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
Selected Financial Data (US$ in thousands)
Cost of revenues
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Inventory turnover = (Cost of revenuesQ4 2022 + Cost of revenuesQ3 2022 + Cost of revenuesQ2 2022 + Cost of revenuesQ1 2022) ÷ Inventories, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Cost of Revenues
The cost of revenues demonstrated a generally increasing trend over the examined periods. Starting at approximately $186 million in the first quarter of 2019, the cost increased with some fluctuations, reaching over $629 million by the last quarter of 2022. Notably, there was a decrease observed in mid-2020, around June and September, followed by a strong upward trajectory thereafter. This overall growth in cost of revenues suggests an expansion in operational activities or higher production expenses during the timeframe.
Inventories, Net
The net inventory levels showed a consistent upward trend throughout the periods. Beginning at about $151 million in the first quarter of 2019, inventories increased significantly to over $729 million by the final quarter of 2022. This substantial rise indicates an accumulation of inventory, which could result from increased production, stockpiling in anticipation of higher demand, or slower inventory turnover during certain periods.
Inventory Turnover Ratio
The inventory turnover ratio experienced a decline from 4.47 in the first quarter of 2019 to a low of approximately 2.86 in the first quarter of 2021. After this period, the ratio showed some recovery, fluctuating around the mid-to-high 3 range but never returning to the initial levels seen in 2019. This decline and partial recovery in inventory turnover suggest that the company held its inventory for a longer period on average, which may reflect changes in sales velocity, inventory management efficiency, or market conditions affecting product demand.
Summary of Trends
The patterns observed in these key financial metrics indicate a period of growth combined with increasing inventory levels and a reduction in inventory turnover efficiency. The rising cost of revenues alongside growing net inventories could point to expanding operations or increased production capacity. Meanwhile, the decrease in inventory turnover ratio suggests challenges in converting inventory to sales as rapidly as before, potentially impacting working capital management. Overall, while revenue-related costs and inventory amounts expanded significantly, managing inventory turnover appears to be an area warranting attention to optimize operational performance.

Receivables Turnover

SolarEdge Technologies Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
Selected Financial Data (US$ in thousands)
Revenues
Trade receivables, net of allowances
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Receivables turnover = (RevenuesQ4 2022 + RevenuesQ3 2022 + RevenuesQ2 2022 + RevenuesQ1 2022) ÷ Trade receivables, net of allowances
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The quarterly financial data displays several notable trends over the analyzed periods. Revenues exhibit a general upward trajectory, increasing from $271,871 thousand in March 2019 to $890,702 thousand by December 2022. Despite some fluctuations, the overall growth in revenue is steady and pronounced, particularly in the later reported quarters, indicating an expansion in the business's scale or market demand.

Trade receivables, net of allowances, follow a similar increasing pattern, rising from $187,496 thousand in March 2019 to $905,146 thousand at the end of 2022. The substantial growth in receivables suggests an expanding volume of credit sales or extended collection periods, which may require careful monitoring to manage credit risk and cash flow.

Receivables turnover ratio
The receivables turnover ratio demonstrates a declining trend overall. Initially, the ratio starts at 5.33 in March 2019, indicating relatively efficient collection of receivables. However, over subsequent quarters, the ratio falls, reaching as low as 3.27 in March 2022 and hovering around that lower level thereafter.
This decrease signals that the company is collecting its receivables more slowly relative to its sales, potentially implying a lengthening of the average collection period. The reduced turnover ratio alongside increasing receivables balances raises concerns about the efficiency of credit management or changes in customer payment behavior.

In summary, while revenue growth is robust and continuous, the expanding trade receivables coupled with the declining receivables turnover ratio suggest possible challenges in cash conversion cycles. The company may need to strengthen collections processes or reassess credit terms to support ongoing growth with healthy liquidity.


Payables Turnover

SolarEdge Technologies Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
Selected Financial Data (US$ in thousands)
Cost of revenues
Trade payables, net
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Payables turnover = (Cost of revenuesQ4 2022 + Cost of revenuesQ3 2022 + Cost of revenuesQ2 2022 + Cost of revenuesQ1 2022) ÷ Trade payables, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals notable trends in the cost of revenues, trade payables, and payables turnover ratios over the observed periods.

Cost of Revenues
The cost of revenues shows a general upward trajectory throughout the periods. Beginning at approximately $186 million in March 2019, it rises significantly to over $629 million by December 2022. There are fluctuations in the intermediate quarters, but the overall trend indicates sustained growth, with particularly sharp increases noted in the later quarters of 2021 and throughout 2022.
Trade Payables, Net
Trade payables exhibit variability but also an overall increasing pattern over time. Starting from about $90 million at the beginning of 2019, the figure experiences significant jumps at various points, especially from late 2021 onward, reaching nearly $460 million by December 2022. Notable surges appear in the last two quarters of 2021 and continue into 2022, suggesting increased short-term liabilities or supplier credit during these periods.
Payables Turnover Ratio
The payables turnover ratio fluctuates throughout the analyzed timeframe, reflecting changes in the efficiency of paying off suppliers. Initially, it is relatively high at 7.47 in early 2019, then declines and varies between approximately 4.93 and 8.65 over subsequent quarters. There is a marked drop to the lowest recorded ratio of 4.93 in the final quarter of 2022, indicating a slower turnover of payables at that time. Periods with higher ratios suggest faster payment cycles, while lower ratios toward the end imply a lengthening in payment terms or delays in settling trade payables.

Overall, the company demonstrates expanding operational scale as evidenced by increasing cost of revenues and trade payables. However, the decreasing payables turnover ratio in later periods may indicate changes in working capital management, potentially reflecting a strategic shift in payment policies or temporary liquidity constraints.


Working Capital Turnover

SolarEdge Technologies Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Working capital turnover = (RevenuesQ4 2022 + RevenuesQ3 2022 + RevenuesQ2 2022 + RevenuesQ1 2022) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data reveals several notable trends over the observed periods. Working capital demonstrates a generally upward trajectory, increasing significantly from early 2019 through the end of 2022. There are fluctuations, but the overall growth is marked by a particularly sharp rise starting in mid-2020 and continuing into 2022, suggesting enhanced liquidity or increased short-term asset reserves.

Revenues show consistent growth throughout the entire period. Beginning at a lower base in early 2019, revenues rise steadily with occasional minor fluctuations. The increase becomes more pronounced from mid-2020 onward, indicating strong top-line expansion. By the end of 2022, revenues nearly triple compared to the initial recorded period, pointing to successful market penetration or increased sales volume.

The working capital turnover ratio, which measures the efficiency of using working capital to generate revenues, exhibits a declining trend from 2019 into 2020, dropping from above 2.1 to slightly above 1.1. This decline indicates that despite rising revenues, the company increased its working capital at a faster rate, possibly building inventory or receivables. However, starting from 2021, the turnover ratio improves gradually toward around 1.6 by late 2022, suggesting enhanced operational efficiency in managing working capital relative to revenue generation compared to the previous period.

Working Capital
Demonstrates a significant upward trend with notable growth beginning in mid-2020, implying increased liquidity or asset buildup.
Revenues
Consistently increased, nearly tripling from the start of the period to late 2022, reflecting strong sales growth.
Working Capital Turnover Ratio
Declined initially from above 2.1 to near 1.1 between 2019 and 2020, then showed a gradual recovery to approximately 1.6 by the end of 2022, indicating improving efficiency in working capital utilization over time.

Overall, the data suggests effective revenue growth strategy accompanied by a deliberate increase in working capital in the earlier years, followed by improvements in asset utilization efficiency. The combination of these factors points to maturing operational management as the company scales.


Average Inventory Processing Period

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

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Inventory Turnover Trend
The inventory turnover ratio exhibited a declining trend from March 2019 through December 2022. Initially, the ratio increased from 4.47 to a peak of 6.37 by September 2019, indicating more efficient inventory utilization at that point. However, from December 2019 onwards, there was a consistent decline, dropping to around 3.11 by December 2022. This trend suggests a gradual slowdown in the rate at which inventory was sold and replenished.
Average Inventory Processing Period Trend
The average inventory processing period, expressed in days, generally moved inversely to the inventory turnover, reflecting the time inventory remained in stock. Starting at 82 days in March 2019, the processing period decreased to a low of 57 days by September 2019, consistent with the high turnover. From that point forward, the period increased significantly, reaching a high of 128 days by March 2021. Although some fluctuation occurred afterward, the processing period remained elevated, ending at 117 days in December 2022. This indicates that inventory was retained longer before sale, reflecting reduced turnover efficiency.
Correlation and Operational Implications
The inverse relationship between inventory turnover and average inventory processing period is evident throughout the timeframe. The initial improvement in inventory management efficiency seen in early 2019 was followed by a protracted period of declining efficiency, as inventory remained in stock for extended durations. Such trends could imply challenges in sales performance, changes in demand, or supply chain issues affecting inventory liquidity.
Summary Insight
Overall, the data reveal a shift from a period of relatively efficient inventory management to one characterized by slower inventory turnover and longer holding periods. This may warrant further investigation into operational or market factors influencing inventory dynamics during this period to identify opportunities for improvement.

Average Receivable Collection Period

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

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Receivables Turnover
The receivables turnover ratio exhibited notable fluctuations over the analyzed periods. Initially, it declined from 5.33 in March 2019 to 4.35 by September 2019, indicating a slower collection of receivables. It then improved sharply in the first three quarters of 2020, peaking at 8.76 in June 2020, which suggests enhanced efficiency in collecting receivables during that time. Following this peak, the ratio steadily decreased throughout 2021 and 2022, reaching a low of 3.27 in March 2022 and remaining in the range of approximately 3.4 to 3.7 towards the end of 2022. This downward trend points to a gradual decline in collections efficiency over the latter periods.
Average Receivable Collection Period
The average collection period, expressed in days, moved inversely to the turnover ratio, as expected. Starting from 68 days in March 2019, it lengthened to 84 days by September 2019, reflecting slower collections. A significant improvement occurred in 2020, with the period dropping to a low of 42 days in June 2020, coinciding with the peak in receivables turnover. However, from 2021 onward, the collection period progressively increased, peaking at 112 days in March 2022 and remaining elevated near 100 days through the end of 2022. This suggests that the company experienced increased delays in collecting receivables over the most recent years.
Overall Trends and Insights
The data reveals a cyclical pattern with a period of improved receivables management in 2020, likely reflecting strategic or operational changes leading to quicker collections. However, the subsequent decline in turnover and corresponding increase in collection days through 2021 and 2022 indicate challenges in maintaining these efficiency levels. This trend could point to potential working capital management issues or changing customer payment behaviors that warrant further investigation.

Operating Cycle

SolarEdge Technologies Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 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 exhibits a generally increasing trend over the analyzed timeframe. Starting at 82 days in the first quarter of 2019, it initially decreased to a low of 57 days by the third quarter of 2019. However, from the end of 2019 onward, the period progressively lengthens, reaching a peak of 128 days in the first quarter of 2021. After some fluctuations, it remains relatively elevated, ending at 117 days in the last quarter of 2022. This suggests a gradual slowdown in inventory turnover, possibly indicating changes in inventory management or supply chain dynamics.
Receivable Collection Period
The average receivable collection period shows more variability across quarters. Initially, it rose from 68 days in the first quarter of 2019 to a peak of 84 days by the third quarter of the same year. It then decreased significantly to a low of 42 days in the second quarter of 2020, indicating improved collections efficiency during that period. However, starting in early 2021, it steadily increased again, peaking at 112 days in the first quarter of 2022, and remains elevated through the end of 2022. This upward trend in recent quarters may suggest elongation in customer payment terms or delays in collections.
Operating Cycle
The operating cycle exhibits an overall increase across the observed periods. It starts at 150 days in the first quarter of 2019, remains fairly stable at around 140-150 days until the end of 2019, and then rises gradually thereafter to reach a high of 223 days by the last quarter of 2022. This increase is reflective of the combined effects of both the extended inventory processing and receivable collection periods. The prolonged operating cycle indicates that cash is tied up longer in the production and sales process over time, which could negatively impact liquidity and working capital management.

Average Payables Payment Period

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

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
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-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The payables turnover ratio demonstrates a fluctuating pattern over the observed quarters, without a clear consistent upward or downward trend. Starting at 7.47 in the first quarter of 2019, it fell to a lower range near 6.02 by the end of that year, then showed variability throughout 2020 and 2021 with peaks above 8 in some quarters. However, in the last four quarters of 2022, the ratio notably declined to a low of 4.93, indicating a slower turnover of payables compared to the earlier periods.

The average payables payment period, which measures the number of days taken to pay suppliers, shows an inverse relationship corresponding to the payables turnover. Initially, the payment period was shorter at 49 days, then gradually increased towards the end of 2019, reaching 61 days. Throughout 2020 and 2021, the payment period oscillated between roughly 42 and 69 days, with some quarters exhibiting more prompt payments and others longer delays. In 2022, the payment period expanded further, reaching a peak of 74 days in the last quarter, reflecting extended payment durations.

Relationship and Interpretation
The fluctuations in the payables turnover ratio correspond inversely with changes in the average payment period, as expected. Higher turnover ratios coincide with shorter payment periods, indicating faster payments to suppliers, while lower turnover ratios align with longer payment periods, reflecting slower payments.
The decreasing trend in payables turnover accompanied by increasing average payment periods in late 2022 suggests a strategic or operational shift towards longer payment terms or potential cash flow management challenges.
The variability observed across the quarters highlights that the company experiences substantial fluctuations in how quickly it settles its payables, revealing possible seasonality or changes in supplier agreements and working capital management policies over time.

Cash Conversion Cycle

SolarEdge Technologies Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 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
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31).

1 Q4 2022 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


Inventory Processing Period
The average inventory processing period initially decreased from 82 days in early 2019 to a low of 57 days in September 2019. However, from the end of 2019 onward, it generally trended upward, reaching a peak of 128 days by March 2021. After this peak, the period fluctuated but remained elevated, staying above 90 days through the end of 2022, concluding at 117 days in the last quarter. This indicates a lengthening in the time inventory remains in stock before being sold or used, which may suggest increased inventory buildup or slower turnover in later periods.
Receivable Collection Period
The receivable collection period demonstrated variability throughout the timeframe. It began at 68 days in the first quarter of 2019 and increased to a high of 84 days by the third quarter of 2019. Following this, there was a notable improvement during the first half of 2020, with the period reducing to 42 days by June 2020, indicating faster collection from customers. However, from late 2020 onwards, the collection period lengthened again, surpassing 100 days by early 2022 and maintaining a range around 100 to 112 days through the end of 2022. This suggests challenges in receivables management or customer payment delays in the latter periods.
Payables Payment Period
The payables payment period showed fluctuations without a clear consistent trend. It started at 49 days in early 2019, rising to around 57 days mid-year, then varying between 43 and 69 days through the subsequent quarters. Notably, a spike occurred in the last quarter of 2021 to 69 days, and an overall increasing trend was observed again through 2022, culminating at 74 days by December 2022. These variations suggest changes in payment terms or cash management strategies affecting how long the company takes to pay its suppliers.
Cash Conversion Cycle (CCC)
The cash conversion cycle experienced an overall increase across the reported periods. It began at 101 days in the first quarter of 2019 and decreased slightly to 75 days by March 2020, indicating an improved cash flow position. Nevertheless, from mid-2020 onwards, the CCC rose substantially, peaking at 157 days in March 2022 and consistently remaining above 140 days in the latter part of the data set. This increase reflects the combined effects of longer inventory and receivable periods relative to payables, implying that capital is more tied up in operations and cash flows may be under pressure.
Summary
Overall, the trends in the operational efficiency metrics suggest that while there was an improvement in inventory and receivables management during early 2020, the company faced increasing operational challenges thereafter. The extension of inventory processing and receivable collection periods, coupled with a relatively stable but somewhat increasing payables period, contributed to a lengthening of the cash conversion cycle. The prolonged CCC indicates a higher level of working capital requirement over time, which may affect liquidity and operational flexibility. Monitoring and addressing these trends would be crucial for improving cash flow management going forward.