Stock Analysis on Net

Enphase Energy Inc. (NASDAQ:ENPH)

$22.49

This company has been moved to the archive! The financial data has not been updated since February 9, 2024.

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Turnover Ratios
Inventory turnover
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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).


The financial data over multiple quarters reveals significant fluctuations and evolving trends in liquidity and operational efficiency metrics.

Inventory Management
The inventory turnover ratio shows a declining trend from early 2022 through the end of 2023, dropping from 9.47 to 5.77, indicating slower inventory movement. Correspondingly, the average inventory processing period lengthens substantially from 37 days in Q1 2023 to 63 days in Q4 2023, suggesting increased inventory holding times and potentially reduced sales velocity or overstocking.
Receivables
Receivables turnover ratio fluctuates moderately but remains relatively stable around 4.5 to 5.4 in the recent quarters, reflecting consistent collection speed. However, the average receivable collection period slightly worsens from 68 days in Q2 2023 to 71 days in Q4 2023, which implies some weakening in credit collection efficiency.
Payables
Payables turnover ratio exhibits high volatility, particularly in 2023, where it peaks at 19.83 in Q2 before falling back to 10.61 by Q4, indicating variability in payment practices. The average payables payment period reaches its lowest in Q2 2023 at 18 days, then extends again to 34 days in Q4, suggesting the company initially accelerated payments but later relaxed payment timelines.
Working Capital Efficiency
Working capital turnover shows a modest improvement through most of 2023, rising from 1.47 in Q1 to 1.54 in Q2 before easing slightly to 1.20 in Q4. This pattern reflects some fluctuation in how effectively the company utilizes its working capital to generate revenue.
Operating Cycle and Cash Conversion
The operating cycle remains relatively long, increasing notably to 134 days in Q4 2023 from 109 days in Q1 2023. This indicates extended time to convert inventory and receivables into cash. Additionally, the cash conversion cycle deteriorates steadily, stretching from 83 days in Q1 2023 to 100 days in Q4 2023, highlighting growing delays in cash inflows relative to outflows.

Overall, the data suggests a trend of increasing operational duration and stretched liquidity conversion periods toward the end of the observed timeline. There is evidence of slower inventory turnover and longer cash conversion cycles, which could indicate challenges in sales or inventory management and potential pressure on cash flow.


Turnover Ratios


Average No. Days


Inventory Turnover

Enphase Energy Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in thousands)
Cost of revenues
Inventory
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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 Calculation
Inventory turnover = (Cost of revenuesQ4 2023 + Cost of revenuesQ3 2023 + Cost of revenuesQ2 2023 + Cost of revenuesQ1 2023) ÷ Inventory
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Cost of Revenues
The cost of revenues exhibited notable fluctuations over the reported periods. Starting at approximately $125 million in the first quarter of 2020, the amount decreased significantly in the second quarter of 2020, before gradually increasing through 2021 to reach a peak of over $413 million in the fourth quarter of 2022. Following this peak, the cost of revenues demonstrated a marked decline through 2023, dropping to approximately $156 million by the final quarter. This pattern suggests a cycle of rising production or sales costs through 2021 and 2022, followed by a substantial reduction in 2023.
Inventory
Inventory levels showed a consistent upward trend throughout the periods. Beginning at around $35 million in early 2020, inventory steadily increased each quarter with occasional accelerations, reaching over $213 million by the last quarter of 2023. This rising inventory level indicates either a buildup in stock due to increased production capacity, anticipation of higher sales, or slower inventory turnover towards the end of the period.
Inventory Turnover Ratio
The inventory turnover ratio demonstrated a general decline over time. It started relatively high at 13.32 in the first quarter of 2020, with some volatility in subsequent quarters. After a peak near 15.72 in mid-2021, the ratio trended downward to 5.77 by the last quarter of 2023. This decrease indicates that the company is turning over its inventory less frequently than before, reflecting either increasing inventory levels not matched by proportional growth in sales or slower movement of inventory through the sales cycle.
Overall Analysis
The data reveals a period of increasing costs accompanied by growing inventory levels and declining inventory turnover efficiency. The peak in cost of revenues around late 2022 coincides with rising inventory and a falling turnover ratio, suggesting possible challenges in converting inventory into sales or managing production costs effectively. The subsequent sharp decrease in costs through 2023 alongside continued inventory growth and further reduced turnover may point to a strategic shift, operational adjustments, or market conditions impacting cost management and sales performance. The trends imply an increased need for monitoring inventory management and cost control to maintain operational efficiency.

Receivables Turnover

Enphase Energy Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in thousands)
Net revenues
Accounts receivable, 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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 Calculation
Receivables turnover = (Net revenuesQ4 2023 + Net revenuesQ3 2023 + Net revenuesQ2 2023 + Net revenuesQ1 2023) ÷ Accounts receivable, net of allowances
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Net Revenues
Net revenues exhibit a strong upward trend from March 2020 through December 2022, increasing from approximately $205.5 million to about $724.7 million. This growth period shows consistent quarterly increases, with particularly notable acceleration beginning in early 2022. However, starting in the first quarter of 2023, net revenues decline substantially, dropping from $726.0 million in March 2023 to $302.6 million by the end of December 2023. This recent downturn represents a sharp contraction after several years of growth.
Accounts Receivable, Net of Allowances
The balance of accounts receivable rises steadily from about $95.5 million in March 2020 to a peak of approximately $560.3 million in September 2023. This reflects the overall expansion of sales and credit extended over the years. Despite the falloff in revenue in late 2023, accounts receivable remain elevated at $446.0 million by year-end 2023, suggesting a lag in collections or extended payment terms during the revenue decline.
Receivables Turnover Ratio
The receivables turnover ratio, which indicates the efficiency in collecting receivables, starts high at 7.64 times in March 2020, then declines significantly through March 2021 to a low of 3.69 times. This deterioration points to slower collections amid rapidly growing accounts receivable and revenues. After March 2021, the ratio improves moderately and stabilizes around 5 times turnover from mid-2022 through late 2023. The stabilization suggests a partial recovery in collection efficiency, despite fluctuating revenue levels.
Overall Analysis
The financial data depict a company experiencing rapid revenue growth and expansion of credit sales through 2022, accompanied by a declining receivables turnover ratio that reflects some loosening in payment collections. The sharp revenue decline in 2023 contrasts with still elevated accounts receivable, which may imply challenges in both demand and cash collection. The moderate improvement and stabilization of receivables turnover indicate efforts to manage credit risk and improve cash flow, though the full impact of the revenue downturn will require continued monitoring.

Payables Turnover

Enphase Energy Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in thousands)
Cost of revenues
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Lam Research Corp.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 Calculation
Payables turnover = (Cost of revenuesQ4 2023 + Cost of revenuesQ3 2023 + Cost of revenuesQ2 2023 + Cost of revenuesQ1 2023) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The cost of revenues displays significant variability over the observed quarters. Initially, it declines sharply from approximately $125 million to around $77 million between Q1 2020 and Q2 2020, followed by a period of increase peaking at about $250 million in Q4 2021. Subsequent quarters see the cost stabilizing near $400 million through 2022 and early 2023. The last two quarters of 2023, however, reveal a marked reduction, with costs dropping below $300 million and further to around $156 million by Q4 2023.

Accounts payable also experience notable fluctuations but with a generally upward trend across the analyzed timeframe. Starting at approximately $35 million in Q1 2020, payables increase substantially, reaching over $113 million by Q4 2021. After a moderate decrease in early 2022, accounts payable rise again, hitting values as high as $125 million in Q4 2022. The last four quarters show an oscillating pattern ranging roughly between $79 million and $116 million, ending at about $116 million in Q4 2023.

The payables turnover ratio, representing how many times payables are settled within a period, exhibits considerable volatility. High turnover ratios are observed early in the period (Q2 2020 at 18.63), indicating rapid payment cycles, then decline sharply to below 6 by Q4 2020 and Q1 2021, signaling slower payments. This ratio recovers from mid-2021 through early 2022, with values climbing to approximately 13. The trend continues upward in mid-2023, peaking around 19.83, followed by a decrease toward the end of 2023 to 10.61. Generally, higher turnover ratios could imply tighter management of payables or quicker settlements, while lower values indicate extended payment periods.

In summary, the data suggests that cost of revenues has undergone periods of sharp increases and decreases, with an overall substantial rise through 2021 and 2022 before a pronounced decline in late 2023. Accounts payable generally follow an upward trajectory with significant quarterly variability. The payables turnover ratio's oscillating pattern indicates changes in payment practices over time, alternating between faster and slower pay cycles. These dynamics may reflect operational shifts, supply chain considerations, or cash flow management strategies within the company.


Working Capital Turnover

Enphase Energy Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data (US$ in thousands)
Current assets
Less: Current liabilities
Working capital
 
Net 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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 Calculation
Working capital turnover = (Net revenuesQ4 2023 + Net revenuesQ3 2023 + Net revenuesQ2 2023 + Net revenuesQ1 2023) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The quarterly financial data reveals several notable trends in the company’s operational and financial performance over the observed periods.

Working Capital
There is a significant increase in working capital from March 2020 to March 2023. Starting at approximately $518 million, the working capital exhibits a general upward trajectory, peaking above $1.9 billion by the end of 2023. Despite some fluctuations, particularly around the end of 2021, the overall trend indicates substantial growth in the company’s liquid assets beyond short-term liabilities, suggesting improved short-term financial stability and capacity to fund operations.
Net Revenues
Net revenues display considerable volatility over the quarters. Beginning at approximately $205.5 million in early 2020, revenues rose steadily with some fluctuations, reaching a peak of $726 million in early 2023. After this peak, a sharp decline occurred in the subsequent quarters, with revenues falling back to around $302.6 million by the end of 2023. This pattern suggests a possible seasonality or market-driven demand shift, highlighting periods of strong sales performance followed by a marked decrease.
Working Capital Turnover
The working capital turnover ratio, which measures the efficiency of using working capital to generate revenues, initially decreased from 1.41 in early 2020 to a low of 0.6 in the first quarter of 2021. Following this, the ratio improved steadily, reaching about 1.54 by mid-2023 before a slight decline thereafter. This improvement indicates enhanced efficiency in converting working capital into sales post the initial dip, although the recent downtrend could signal emerging challenges in maintaining this efficiency.
Integrated Interpretation
The substantial increase in working capital alongside the volatile revenue pattern and fluctuating efficiency ratio suggest a complex operational environment. The growth in working capital points to strong asset accumulation or possibly slower asset turnover, while revenue volatility indicates changing market or operational dynamics. The recovery and improvement in working capital turnover after early 2021 imply better management control over working capital relative to sales, but recent declines should be monitored for potential impacts on liquidity and profitability.

Average Inventory Processing Period

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

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Inventory turnover
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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Inventory Turnover
Inventory turnover exhibited notable fluctuation over the observed periods, starting at 13.32 in the first quarter of 2020 and reaching a peak of 15.72 in the second quarter of 2021. Following this peak, the turnover ratio generally declined, with intermittent minor increases, falling to 5.77 by the last quarter of 2023. This trend indicates a decreasing frequency in the conversion of inventory to sales over time, suggesting potential slowing in inventory movement or overstocking in later periods.
Average Inventory Processing Period
The average inventory processing period, expressed in days, moved inversely relative to inventory turnover. It began at 27 days in the first quarter of 2020, improved to as low as 23 days by the middle of 2021, then experienced a general upward trend. From 26 days in early 2021, it increased notably to reach 63 days in the final quarter of 2023. This lengthening duration reflects slower inventory turnover and potentially extended holding times, which could indicate efficiency challenges or changes in inventory management strategy.
Overall Assessment
The data reveals a deterioration in inventory efficiency over the four-year span. Higher turnover rates and shorter processing periods at the start signal efficient inventory management, whereas the marked shift towards lower turnover ratios and prolonged processing periods at the end denote a decrease in operational efficiency. This trend warrants further investigation into supply chain dynamics, sales performance, and inventory control measures to address the increasing inventory holding durations.

Average Receivable Collection Period

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

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Receivables turnover
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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Receivables Turnover
The receivables turnover ratio shows a fluctuating but overall declining trend from March 31, 2020, through December 31, 2023. Initially, the ratio was high at 7.64 and peaked at 8.06 in June 2020, indicating efficient management of receivables early on. However, the ratio decreased sharply to a low of 3.69 by March 31, 2021, suggesting slower collection or increasing receivables relative to sales. After that low point, some recovery is observed with fluctuations, reaching levels around 5.0 in the most recent quarters. This indicates moderate improvement but overall less efficiency in receivables turnover compared to the early 2020 period.
Average Receivable Collection Period
The average number of days to collect receivables inversely mirrors the turnover ratio, reflecting slower collection over the period. Starting at 48 days in March 2020, this increased significantly to 99 days by March 2021, indicating extended credit terms or difficulty in collection. Following this peak, a gradual improvement occurred, bringing the collection period down to approximately 70 days in the later quarters of 2023. Despite this improvement, collection days remain markedly higher than early 2020, implying continued challenges in receivable management or a change in credit policy.
Overall Analysis
The data depicts a clear shift toward slower collection of receivables over the observed timeframe, with the company experiencing its most extended collection periods and lowest turnover efficiency around early 2021. Although some correction has taken place since then, the receivables turnover and collection period have not returned to the previously higher efficiency levels. This trend may impact liquidity and cash flow, requiring ongoing attention to credit policies and collection processes.

Operating Cycle

Enphase Energy Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Average inventory processing period
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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 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 showed fluctuations throughout the observed quarters. Initially, it decreased from 27 days in March 2020 to 23 days in June 2021, indicating improved inventory turnover. However, from that point, it generally increased, reaching a notable peak of 63 days by December 2023. This suggests a lengthening time to process inventory over recent periods, which could imply slower inventory movement or potential supply chain challenges.
Receivable Collection Period
The average receivable collection period started at 48 days in March 2020 and experienced an upward trend, peaking at 99 days by March 2021. Following that peak, there was some variability but a general tendency to moderate between approximately 66 and 75 days from mid-2022 to the end of 2023. The initial increase indicates a slowdown in collections which could impact cash flow, while the recent relative stabilization suggests improved receivables management but still at a longer collection period compared to the early 2020 levels.
Operating Cycle
The operating cycle, which combines the inventory processing and receivable collection periods, exhibits a rising trend from 75 days in March 2020 to a high of 134 days in December 2023. The operating cycle lengthened sharply particularly in early 2021 and again in late 2023, reflecting extended periods to convert inventory and receivables into cash. Despite some fluctuations, this overall increase points to a longer cash conversion cycle, potentially stressing working capital efficiency over time.

Average Payables Payment Period

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

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Payables turnover
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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of the payables turnover ratio over the examined periods indicates a fluctuating trend with an overall upward movement in recent quarters. Initially, the ratio exhibited considerable variability, ranging from a high of 18.63 in the second quarter of 2020 down to a low near 5.9 by the fourth quarter of 2020. Following this decline, the ratio generally improved, showing an accelerating trend with peaks such as 19.83 in the second quarter of 2023. However, the latest figures demonstrate a decline to 10.61, suggesting some reversal in the pace of payment to suppliers.

Correspondingly, the average payables payment period, which inversely relates to the turnover ratio, reflects this pattern. Early in the dataset, the payment period extended markedly, reaching a peak of 62 days at the end of 2020 and the start of 2021. Subsequently, a progressive reduction ensued, with the shortest period observed at 18 days in mid-2023, indicating faster payments to creditors. Nonetheless, the last quarter shows an increase back to 34 days, consistent with the observed reduction in turnover ratio.

Payables Turnover Ratio
Exhibits large volatility with a general upward trend from mid-2020 to mid-2023, suggesting faster settlement of payables during this time frame. The ratio's recent decline signals a slight slowdown in payment speed.
Average Payables Payment Period
Shows an extended duration at the end of 2020 and beginning of 2021, implying slower payments. This period shortened significantly through 2022 and into mid-2023, reflecting improved payment efficiency, before a moderate lengthening occurred in the last recorded quarter.
Overall Insights
The interplay between these two measures indicates a dynamic payables management approach. The company appears to have accelerated payments during much of the recent periods, reducing the payment cycle substantially. The partial reversal in the latest quarter might signal a strategic shift or external factors influencing liquidity management.

Cash Conversion Cycle

Enphase Energy Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Selected Financial Data
Average inventory processing period
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: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).

1 Q4 2023 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 fluctuated over the analyzed quarters, starting at 27 days in early 2020 and rising to a peak of 63 days by the end of 2023. This indicates an overall lengthening in the time inventory remains in stock before processing, with notable increases particularly from mid-2022 onward.
Receivable Collection Period
Receivable collection periods showed significant variation, beginning around 48 days in the first quarter of 2020, increasing sharply to near 99 days by the first quarter of 2021. After this peak, it declined somewhat but remained elevated compared to early 2020 levels, fluctuating mostly in the range of 66 to 75 days through 2022 and 2023. This pattern suggests challenges in collecting receivables with some improvement but persistent delays relative to the start of the observed period.
Payables Payment Period
The average payables payment period demonstrated considerable variability, starting at 27 days in early 2020, climbing to a high of 62 days at the end of 2020 and early 2021, followed by a general decline to approximately 18 to 26 days around mid-2023, before increasing again toward the end of 2023. This signifies shifts in payment strategies, with a tendency to delay payments more during 2020-2021 and then shortening payment cycles in 2022 and early 2023, before some lengthening late in 2023.
Cash Conversion Cycle
The cash conversion cycle lengthened notably during the entire period under review, starting at 48 days in March 2020 and reaching a maximum of 100 days by December 2023. This rising trend reflects the combined effects of increasing inventory holding and receivable collection times, partially offset by variations in payable payment periods. The elongation of this cycle may indicate less efficient working capital management and increased capital tied up in operations over time.