Analysis of Short-term (Operating) Activity Ratios
Quarterly Data
Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Enphase Energy Inc., short-term (operating) activity ratios (quarterly data)
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), 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).
- Inventory Turnover
- Inventory turnover shows fluctuations over the observed periods. Starting at 12.57 in March 2020, it increased to a peak of 15.72 in September 2021, followed by a decline to 5.77 by December 2023. This indicates periods of increasing efficiency in inventory management followed by a deterioration in the recent quarters.
- Receivables Turnover
- The receivables turnover ratio experienced volatility, initially rising sharply from 4.29 in March 2020 to 8.06 in September 2020, then declining to around 3.69–4.52 between March 2021 and December 2021. From March 2022 onward, it stabilized somewhat in the range of 4.84 to 5.56, indicating moderate consistency in collections efficiency recently.
- Payables Turnover
- The payables turnover ratio exhibited notable variability. It increased steeply from 7.01 in March 2020 to a high of 19.83 in June 2023, with some intermediate declines. The high turnover implies a faster payment rate to suppliers in certain periods, but the decreasing trend towards the end of the timeline suggests slower payments.
- Working Capital Turnover
- Working capital turnover ratios fluctuated, initially decreasing from 2.08 in March 2020 to a low of 0.6 in June 2021, then gradually increasing to around 1.54 in September 2023, before dropping again to 1.2 in December 2023. This pattern suggests varying efficiency in utilizing working capital to generate sales.
- Average Inventory Processing Period
- The average inventory processing period initially decreased from 29 days in March 2020 to 23 days in September 2020, indicating improved inventory turnover. However, it later increased substantially to 63 days in December 2023, reflecting slower inventory movement in recent quarters.
- Average Receivable Collection Period
- The average receivable collection period declined sharply from 85 days in March 2020 to a low of 45 days in September 2020, signaling improved collection speed. Subsequently, it increased and stabilized around 66 to 88 days through to December 2023, indicating moderate delays in receivable collections.
- Operating Cycle
- The operating cycle lengthened from 114 days in March 2020 to a peak around 125 days in the 2021-2022 period, then decreased slightly to 107 days in September 2023 before increasing again to 134 days by December 2023. This indicates increasing time to convert inventory and receivables into cash over time.
- Average Payables Payment Period
- The average payables payment period decreased significantly from 52 days in March 2020 to 20 days in September 2020, indicating quicker payments. It then increased to 62 days by March 2021, followed by a general decline to 18 days by September 2023, ending at 34 days in December 2023, reflecting a mixed payment pattern over time.
- Cash Conversion Cycle
- The cash conversion cycle generally increased across the periods analyzed, starting at 62 days in March 2020 and rising steadily to 100 days by December 2023. This trend points to a lengthening of the time between cash outflows for inventory and payables and cash inflows from receivables, implying reduced cash flow efficiency.
Turnover Ratios
Average No. Days
Inventory Turnover
Enphase Energy Inc., inventory turnover calculation (quarterly data)
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Cost of revenues | 155,908) | 289,069) | 387,776) | 399,645) | 413,951) | 366,797) | 311,191) | 264,319) | 249,405) | 211,161) | 188,256) | 178,805) | 142,901) | 83,522) | 77,151) | 124,870) | 132,151) | 115,351) | 88,775) | 66,811) | ||||||
| Inventory | 213,595) | 174,114) | 166,111) | 150,563) | 149,708) | 146,451) | 130,266) | 96,436) | 74,400) | 65,405) | 37,756) | 34,876) | 41,764) | 37,535) | 31,186) | 34,617) | 32,056) | 30,231) | 20,094) | 12,971) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Inventory turnover1 | 5.77 | 8.56 | 9.44 | 9.91 | 9.06 | 8.14 | 7.95 | 9.47 | 11.12 | 11.03 | 15.72 | 13.83 | 10.26 | 11.13 | 14.41 | 13.32 | 12.57 | — | — | — | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 2.81 | 2.74 | 2.70 | 3.05 | 3.45 | 3.62 | 4.24 | 4.00 | 4.35 | 4.15 | 4.10 | 3.81 | 3.87 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 2.70 | 2.61 | 2.68 | 2.84 | 3.20 | 3.82 | 3.78 | 3.66 | 2.33 | 3.16 | 3.16 | 3.18 | 3.14 | 3.12 | 3.23 | 3.28 | 3.24 | — | — | — | ||||||
| Applied Materials Inc. | 2.47 | 2.45 | 2.41 | 2.32 | 2.33 | 2.42 | 2.60 | 2.79 | 2.82 | 2.80 | 2.65 | 2.55 | 2.44 | 2.30 | 2.32 | 2.43 | 2.37 | — | — | — | ||||||
| Broadcom Inc. | 5.86 | 6.10 | 6.00 | 5.98 | 5.77 | 5.92 | 6.40 | 6.95 | 8.18 | 9.10 | 10.44 | 11.01 | 10.34 | 9.51 | 10.76 | 10.73 | 11.57 | — | — | — | ||||||
| Intel Corp. | 2.92 | 2.85 | 2.78 | 2.68 | 2.74 | 2.90 | 3.02 | 2.97 | 3.27 | 3.50 | 3.91 | 4.15 | 4.06 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 1.47 | 1.54 | 1.63 | 1.59 | 1.67 | 1.71 | 1.75 | 1.73 | 1.76 | 1.81 | 1.76 | 1.77 | 1.87 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 2.00 | 2.14 | 2.16 | 2.24 | 2.36 | 2.60 | 2.89 | 2.95 | 2.91 | 2.78 | 2.71 | 2.77 | 2.86 | — | — | — | — | — | — | — | ||||||
| Micron Technology Inc. | 2.02 | 2.01 | 2.06 | 1.91 | 2.53 | 3.06 | 3.14 | 3.60 | 3.85 | 3.73 | 3.43 | 2.74 | 2.65 | 2.66 | 2.62 | 2.67 | 2.48 | — | — | — | ||||||
| NVIDIA Corp. | 2.25 | 2.70 | 3.02 | 3.25 | 3.62 | 3.87 | 3.75 | 3.63 | 3.44 | 3.69 | 3.47 | 3.81 | 4.24 | — | — | — | — | — | — | — | ||||||
| Qualcomm Inc. | 2.47 | 2.54 | 2.61 | 2.65 | 2.94 | 3.27 | 3.58 | 3.90 | 4.42 | 4.18 | 4.41 | 4.17 | 3.56 | 3.67 | 5.08 | 6.00 | 6.14 | — | — | — | ||||||
| Texas Instruments Inc. | 1.63 | 1.65 | 1.70 | 1.92 | 2.27 | 2.56 | 2.74 | 2.88 | 3.12 | 3.18 | 3.12 | 2.88 | 2.66 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Inventory turnover
= (Cost of revenuesQ4 2023
+ Cost of revenuesQ3 2023
+ Cost of revenuesQ2 2023
+ Cost of revenuesQ1 2023)
÷ Inventory
= (155,908 + 289,069 + 387,776 + 399,645)
÷ 213,595 = 5.77
2 Click competitor name to see calculations.
- Cost of Revenues
- The cost of revenues exhibited a generally increasing trend from March 2019 through December 2022, rising from approximately $66.8 million to over $413.9 million. This represented sustained growth with some fluctuations. However, from March 2023 onwards, there was a sharp decline, falling to roughly $155.9 million by December 2023. This recent downturn marks a significant reversal after several years of growth.
- Inventory
- Inventory levels trended upward steadily over the full period. Starting at around $13.0 million in March 2019, inventory increased consistently to approximately $213.6 million by December 2023. This increase was continuous, with notable acceleration in inventory accumulation from early 2022 onward, indicating potential stock buildup or strategic inventory positioning during this period.
- Inventory Turnover
- The inventory turnover ratio has shown volatility throughout the recorded quarters. Data availability begins in March 2020 with a ratio of 12.57, which briefly increased to a peak of 15.72 in September 2021. Following this peak, turnover declined generally, reaching a low of 5.77 by December 2023. This downward trend in turnover ratio suggests that the company was turning its inventory more slowly in the latter period, potentially highlighting issues with inventory management, demand fluctuations, or sales performance challenges.
- Combined Insights
- The simultaneous increase in inventory levels alongside the decrease in inventory turnover ratio from 2022 into 2023 points to an accumulation of inventory that is not being converted into sales as rapidly as before. Coupled with the sharp decline in cost of revenues in 2023, this could imply reduced sales activity or operational adjustments affecting the company's throughput. The inventory buildup and slowing turnover might warrant further investigation into product demand, supply chain inefficiencies, or strategic shifts in the company’s inventory management policies.
Receivables Turnover
Enphase Energy Inc., receivables turnover calculation (quarterly data)
| Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Net revenues | 302,570) | 551,082) | 711,118) | 726,016) | 724,652) | 634,713) | 530,196) | 441,292) | 412,719) | 351,519) | 316,057) | 301,754) | 264,839) | 178,503) | 125,538) | 205,545) | 210,032) | 180,057) | 134,094) | 100,150) | ||||||
| Accounts receivable, net of allowances | 445,959) | 560,286) | 520,306) | 516,106) | 440,896) | 367,647) | 312,451) | 358,310) | 333,626) | 273,012) | 281,154) | 236,090) | 182,165) | 122,386) | 89,504) | 95,484) | 145,413) | 133,689) | 97,537) | 81,715) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Receivables turnover1 | 5.14 | 4.84 | 5.37 | 5.07 | 5.29 | 5.49 | 5.56 | 4.25 | 4.14 | 4.52 | 3.77 | 3.69 | 4.25 | 5.88 | 8.06 | 7.64 | 4.29 | — | — | — | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 4.22 | 4.37 | 5.07 | 5.71 | 5.72 | 5.26 | 5.33 | 5.13 | 6.07 | 6.68 | 6.60 | 5.24 | 4.73 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 8.37 | 7.94 | 7.96 | 7.72 | 6.67 | 6.37 | 6.07 | 5.16 | 5.02 | 7.90 | 7.62 | 7.08 | 7.60 | 8.10 | 9.42 | 9.85 | 9.43 | — | — | — | ||||||
| Applied Materials Inc. | 5.13 | 5.08 | 4.83 | 4.88 | 4.25 | 5.08 | 5.09 | 5.49 | 4.66 | 5.66 | 5.87 | 5.98 | 5.81 | 5.80 | 5.88 | 5.61 | 5.77 | — | — | — | ||||||
| Broadcom Inc. | 11.36 | 12.17 | 11.56 | 10.64 | 11.22 | 11.70 | 9.73 | 11.23 | 13.25 | 11.87 | 10.54 | 9.78 | 10.40 | 8.64 | 7.13 | 6.21 | 6.93 | — | — | — | ||||||
| Intel Corp. | 15.94 | 18.59 | 18.04 | 14.66 | 15.26 | 9.31 | 12.11 | 10.98 | 8.36 | 9.34 | 10.40 | 10.78 | 11.48 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 5.99 | 5.48 | 4.59 | 5.30 | 5.08 | 5.34 | 4.72 | 5.10 | 5.30 | 5.37 | 4.98 | 5.77 | 5.24 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 6.17 | 5.78 | 4.68 | 3.94 | 3.99 | 4.52 | 4.86 | 4.64 | 4.83 | 4.72 | 4.11 | 4.77 | 4.79 | — | — | — | — | — | — | — | ||||||
| Micron Technology Inc. | 6.36 | 7.48 | 10.12 | 8.18 | 6.00 | 5.20 | 5.79 | 5.64 | 5.22 | 6.02 | 7.01 | 5.98 | 5.48 | 5.62 | 6.43 | 6.04 | 7.33 | — | — | — | ||||||
| NVIDIA Corp. | 7.05 | 5.82 | 5.59 | 5.43 | 5.79 | 6.14 | 6.11 | 6.37 | 6.86 | 5.80 | 6.27 | 6.18 | 6.59 | — | — | — | — | — | — | — | ||||||
| Texas Instruments Inc. | 9.80 | 9.17 | 9.62 | 10.39 | 10.57 | 9.90 | 8.95 | 10.56 | 10.78 | 10.64 | 10.54 | 9.74 | 10.23 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Receivables turnover
= (Net revenuesQ4 2023
+ Net revenuesQ3 2023
+ Net revenuesQ2 2023
+ Net revenuesQ1 2023)
÷ Accounts receivable, net of allowances
= (302,570 + 551,082 + 711,118 + 726,016)
÷ 445,959 = 5.14
2 Click competitor name to see calculations.
- Net Revenues
- Net revenues exhibit a general upward trend from March 31, 2019, to December 31, 2022, increasing from approximately $100.15 million to a peak of about $724.65 million. This reflects consistent growth over the four-year period. However, starting in the first quarter of 2023, net revenues show a pronounced decline, dropping sharply to approximately $302.57 million by the end of the last reported quarter. This downward shift after a period of steady growth warrants further investigation.
- Accounts Receivable, Net of Allowances
- Accounts receivable generally follow an increasing trend similar to net revenues, rising from around $81.7 million in the first quarter of 2019 to a high of approximately $560.3 million by September 2023. Nonetheless, a slight decline appears in the most recent quarter, falling to about $445.96 million. The growth in receivables alongside revenues suggests expanding sales activity, although the recent reduction may indicate changes in credit policies or collection efficiency.
- Receivables Turnover Ratio
- The receivables turnover ratio, which measures the efficiency of collection of accounts receivable, displays some variability over the periods reported. Not available for early periods, the ratio starts at 4.29 in March 2020 and peaks at 8.06 in June 2020, then declines and fluctuates mostly between 3.69 and 5.56 for the subsequent quarters. The elevated peak in mid-2020 may relate to specific operational conditions during that time. More recently, the ratio stabilizes around the mid-5 range, indicating moderate efficiency in converting receivables to cash, but without a clear improvement trend following the peak period.
- Insights and Implications
- The concurrent increase in net revenues and accounts receivable through late 2022 signals strong sales growth and expanding business operations. However, the significant downturn in net revenues starting in early 2023, coupled with a reduction in accounts receivable and a stable receivables turnover ratio, could reflect shifts in market demand, operational challenges, or changes in credit management. The stable receivables turnover suggests that collection processes have remained relatively consistent despite revenue fluctuations. Overall, the data highlights a need to understand the factors behind the recent revenue decline and monitor receivables management to maintain liquidity and operational stability.
Payables Turnover
Enphase Energy Inc., payables turnover calculation (quarterly data)
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Cost of revenues | 155,908) | 289,069) | 387,776) | 399,645) | 413,951) | 366,797) | 311,191) | 264,319) | 249,405) | 211,161) | 188,256) | 178,805) | 142,901) | 83,522) | 77,151) | 124,870) | 132,151) | 115,351) | 88,775) | 66,811) | ||||||
| Accounts payable | 116,164) | 90,116) | 79,075) | 106,154) | 125,085) | 92,823) | 90,398) | 104,738) | 113,767) | 92,213) | 82,141) | 81,524) | 72,609) | 48,148) | 24,135) | 34,538) | 57,474) | 60,692) | 65,989) | 52,489) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Payables turnover1 | 10.61 | 16.54 | 19.83 | 14.05 | 10.84 | 12.84 | 11.46 | 8.72 | 7.27 | 7.82 | 7.23 | 5.92 | 5.90 | 8.68 | 18.63 | 13.35 | 7.01 | — | — | — | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 5.05 | 4.73 | 3.98 | 4.50 | 4.40 | 4.46 | 5.97 | 5.78 | 6.05 | 7.29 | 8.31 | 6.38 | 9.92 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 8.98 | 7.62 | 7.76 | 8.09 | 7.70 | 8.43 | 9.01 | 8.17 | 6.30 | 7.82 | 7.25 | 8.66 | 8.42 | 8.85 | 9.83 | 9.12 | 8.78 | — | — | — | ||||||
| Broadcom Inc. | 9.20 | 11.34 | 13.62 | 12.31 | 11.13 | 15.27 | 9.98 | 9.80 | 9.77 | 10.91 | 12.63 | 11.67 | 12.41 | 9.41 | 8.33 | 10.28 | 11.83 | — | — | — | ||||||
| Intel Corp. | 3.79 | 3.77 | 3.81 | 4.30 | 3.77 | 5.21 | 4.63 | 4.92 | 6.13 | 5.05 | 5.82 | 6.49 | 6.14 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 11.37 | 10.30 | 7.77 | 7.96 | 8.10 | 7.98 | 8.43 | 7.79 | 8.10 | 8.88 | 9.53 | 9.69 | 9.27 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 20.50 | 17.34 | 11.33 | 8.52 | 9.25 | 8.99 | 9.31 | 10.12 | 9.43 | 9.33 | 8.82 | 8.94 | 9.18 | — | — | — | — | — | — | — | ||||||
| NVIDIA Corp. | 9.74 | 8.08 | 4.86 | 5.13 | 5.29 | 5.19 | 5.38 | 5.94 | 5.23 | 5.03 | 5.44 | 5.65 | 6.04 | — | — | — | — | — | — | — | ||||||
| Qualcomm Inc. | 8.30 | 9.67 | 12.50 | 7.17 | 4.91 | 4.72 | 4.37 | 4.28 | 5.19 | 4.83 | 4.62 | 4.38 | 4.12 | 4.21 | 4.19 | 4.96 | 6.29 | — | — | — | ||||||
| Texas Instruments Inc. | 8.10 | 9.03 | 6.87 | 6.63 | 7.35 | 7.89 | 8.46 | 9.27 | 9.14 | 9.93 | 9.86 | 9.60 | 12.51 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Payables turnover
= (Cost of revenuesQ4 2023
+ Cost of revenuesQ3 2023
+ Cost of revenuesQ2 2023
+ Cost of revenuesQ1 2023)
÷ Accounts payable
= (155,908 + 289,069 + 387,776 + 399,645)
÷ 116,164 = 10.61
2 Click competitor name to see calculations.
- Cost of revenues
- The cost of revenues displayed a general upward trend from March 31, 2019, through December 31, 2022. Starting at 66,811 thousand USD in Q1 2019, it climbed significantly to peak at 413,951 thousand USD in Q4 2022. This represents a more than sixfold increase over this period, reflecting either increased sales volume, higher production costs, or both. However, in 2023, a notable decline occurred, with the cost of revenues decreasing substantially to 155,908 thousand USD by the last quarter, indicating a sharp reduction in costs or business scale in the latest periods.
- Accounts payable
- Accounts payable values fluctuated throughout the observed quarters. Initially, there was a moderate upward trend from 52,489 thousand USD at the end of Q1 2019 to a peak of 125,085 thousand USD at the end of Q4 2022. This trend points to an increasing level of short-term liabilities or supplier credit. However, variability is observed within this overall increase, with fluctuations in individual quarters showing possible changes in vendor payment policies or operational cycles. In 2023, the accounts payable remained relatively high, averaging around 100,000 to 116,164 thousand USD, showing sustained reliance on supplier credit.
- Payables turnover ratio
- The payables turnover ratio reflects the frequency with which accounts payable are paid off during a period and shows considerable variation. Starting at 7.01 times in Q1 2020, it increased markedly to 18.63 times in Q3 2020, suggesting a more rapid settlement of payables in this period. Afterward, the ratio generally fluctuated between approximately 5.9 and 19.83 times, with peaks in Q3 2023 and dips in other quarters. High turnover ratios typically indicate faster payment to suppliers. The fluctuations over the quarters could suggest changes in payment strategies, cash flow management, or negotiation conditions with suppliers.
- Summary
- Overall, the financial data indicates a significant expansion in cost of revenues until late 2022, followed by a sharp decline during 2023. Accounts payable increased over the entire timeframe, albeit with fluctuations, pointing to increased supplier credit utilization. The payables turnover ratio showed variable payment speeds to vendors, with peaks indicating accelerated payments in some quarters and slower payables turnover in others. These trends suggest dynamic management of operational costs and supplier relationships, possibly in response to changing business conditions.
Working Capital Turnover
Enphase Energy Inc., working capital turnover calculation (quarterly data)
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Current assets | 2,443,518) | 2,598,630) | 2,560,789) | 2,512,633) | 2,264,271) | 1,982,664) | 1,735,992) | 1,558,783) | 1,462,461) | 1,768,081) | 1,665,919) | 1,791,362) | 933,064) | 850,234) | 757,201) | 751,697) | 499,657) | 391,517) | 349,851) | 195,442) | ||||||
| Less: Current liabilities | 532,449) | 774,387) | 743,605) | 729,289) | 638,219) | 550,236) | 480,010) | 453,756) | 439,796) | 393,455) | 356,593) | 344,473) | 534,043) | 256,519) | 223,523) | 233,622) | 199,311) | 146,819) | 143,613) | 128,746) | ||||||
| Working capital | 1,911,069) | 1,824,243) | 1,817,184) | 1,783,344) | 1,626,052) | 1,432,428) | 1,255,982) | 1,105,027) | 1,022,665) | 1,374,626) | 1,309,326) | 1,446,889) | 399,021) | 593,715) | 533,678) | 518,075) | 300,346) | 244,698) | 206,238) | 66,696) | ||||||
| Net revenues | 302,570) | 551,082) | 711,118) | 726,016) | 724,652) | 634,713) | 530,196) | 441,292) | 412,719) | 351,519) | 316,057) | 301,754) | 264,839) | 178,503) | 125,538) | 205,545) | 210,032) | 180,057) | 134,094) | 100,150) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Working capital turnover1 | 1.20 | 1.49 | 1.54 | 1.47 | 1.43 | 1.41 | 1.38 | 1.38 | 1.35 | 0.90 | 0.81 | 0.60 | 1.94 | 1.21 | 1.35 | 1.41 | 2.08 | — | — | — | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 2.25 | 2.44 | 2.45 | 2.54 | 2.73 | 2.95 | 2.72 | 2.42 | 3.78 | 3.36 | 2.71 | 2.64 | 2.62 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 10.40 | 6.41 | 6.13 | 4.61 | 4.81 | 4.94 | 4.23 | 3.50 | 2.81 | 21.89 | 49.24 | 6.18 | 4.86 | 6.92 | 11.81 | 40.91 | 12.57 | — | — | — | ||||||
| Applied Materials Inc. | 2.25 | 2.49 | 2.69 | 2.77 | 3.02 | 2.93 | 2.89 | 2.56 | 2.36 | 2.14 | 1.95 | 1.86 | 1.93 | 2.04 | 1.94 | 2.42 | 2.54 | — | — | — | ||||||
| Broadcom Inc. | 2.66 | 3.23 | 3.38 | 3.03 | 2.90 | 3.58 | 3.80 | 3.15 | 2.66 | 2.90 | 3.27 | 3.25 | 4.32 | 3.32 | 3.00 | 5.19 | 7.49 | — | — | — | ||||||
| Intel Corp. | 3.56 | 3.48 | 3.34 | 2.70 | 3.45 | 3.24 | 3.14 | 2.34 | 2.61 | 2.47 | 3.16 | 3.59 | 3.46 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 2.27 | 2.31 | 2.25 | 2.19 | 2.14 | 2.30 | 2.08 | 2.06 | 1.93 | 1.91 | 1.90 | 1.97 | 1.92 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 1.93 | 2.03 | 2.08 | 2.10 | 2.23 | 2.18 | 2.01 | 2.04 | 1.80 | 1.72 | 1.51 | 1.41 | 1.31 | — | — | — | — | — | — | — | ||||||
| Micron Technology Inc. | 0.94 | 1.09 | 1.39 | 1.66 | 2.16 | 2.06 | 2.14 | 2.17 | 2.05 | 1.95 | 1.98 | 2.04 | 1.89 | 1.73 | 1.93 | 2.10 | 2.31 | — | — | — | ||||||
| NVIDIA Corp. | 1.63 | 1.75 | 1.50 | 1.23 | 1.10 | 1.09 | 1.03 | 1.36 | 1.37 | 1.38 | 1.06 | 0.67 | 0.92 | — | — | — | — | — | — | — | ||||||
| Qualcomm Inc. | 2.79 | 3.21 | 3.66 | 3.90 | 4.99 | 5.88 | 4.80 | 4.53 | 4.13 | 3.96 | 3.19 | 2.53 | 2.39 | 2.62 | 4.47 | 3.50 | 3.10 | — | — | — | ||||||
| Texas Instruments Inc. | 1.48 | 1.46 | 1.47 | 1.61 | 1.81 | 1.84 | 1.87 | 1.65 | 1.65 | 1.57 | 1.87 | 1.77 | 1.84 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Working capital turnover
= (Net revenuesQ4 2023
+ Net revenuesQ3 2023
+ Net revenuesQ2 2023
+ Net revenuesQ1 2023)
÷ Working capital
= (302,570 + 551,082 + 711,118 + 726,016)
÷ 1,911,069 = 1.20
2 Click competitor name to see calculations.
- Working Capital
- The working capital exhibited a consistent upward trend over the entire period. Starting at approximately $66.7 million in March 2019, it grew significantly, reaching over $1.9 billion by December 2023. The growth was steady with occasional more pronounced increases, particularly noticeable between early 2021 and the end of 2023, indicating improved liquidity and possibly enhanced operational efficiency or accumulation of current assets.
- Net Revenues
- Net revenues demonstrated a generally increasing trajectory from March 2019 through December 2021, growing from $100.2 million to a peak of $412.7 million in the last quarter of 2021. This growth continued more robustly into 2022 and the first half of 2023, with revenues peaking at $726 million in June 2021 and maintaining high levels thereafter. However, from March 2023, there was a marked decline in revenues, dropping sharply to $302.6 million by December 2023. This suggests potential market challenges, demand contraction, or operational disruptions during 2023.
- Working Capital Turnover Ratio
- The working capital turnover ratio varied substantially during the period. It started from 2.08 in late 2019, then declined gradually to as low as 0.6 in the first half of 2021, suggesting a relative slowdown in revenue generation relative to working capital. From mid-2021 onward, the ratio improved steadily, stabilizing around 1.40–1.50, indicating a moderate level of efficiency in utilizing working capital to generate revenues. However, there was a slight reduction toward the end of 2023 to approximately 1.2, which may imply some inefficiencies or changes in working capital management relative to sales.
- Overall Insights
- The company showed substantial growth in liquidity and scale of operations over the analyzed period, as reflected in the steady increase in working capital and revenues up to early 2023. The decline in revenues in 2023, despite high levels of working capital, could point to emerging operational or market challenges. The fluctuating working capital turnover ratio reflects periods of varying operational efficiency, with indications of improvement after mid-2021 but a slight dip at the end of the period. Maintaining or improving turnover rates while managing the sizable working capital base will be critical for sustaining financial health.
Average Inventory Processing Period
Enphase Energy Inc., average inventory processing period calculation (quarterly data)
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Inventory turnover | 5.77 | 8.56 | 9.44 | 9.91 | 9.06 | 8.14 | 7.95 | 9.47 | 11.12 | 11.03 | 15.72 | 13.83 | 10.26 | 11.13 | 14.41 | 13.32 | 12.57 | — | — | — | ||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||
| Average inventory processing period1 | 63 | 43 | 39 | 37 | 40 | 45 | 46 | 39 | 33 | 33 | 23 | 26 | 36 | 33 | 25 | 27 | 29 | — | — | — | ||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 130 | 133 | 135 | 120 | 106 | 101 | 86 | 91 | 84 | 88 | 89 | 96 | 94 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 135 | 140 | 136 | 129 | 114 | 96 | 97 | 100 | 157 | 115 | 116 | 115 | 116 | 117 | 113 | 111 | 113 | — | — | — | ||||||
| Applied Materials Inc. | 148 | 149 | 152 | 157 | 157 | 151 | 140 | 131 | 129 | 130 | 138 | 143 | 150 | 159 | 157 | 150 | 154 | — | — | — | ||||||
| Broadcom Inc. | 62 | 60 | 61 | 61 | 63 | 62 | 57 | 53 | 45 | 40 | 35 | 33 | 35 | 38 | 34 | 34 | 32 | — | — | — | ||||||
| Intel Corp. | 125 | 128 | 131 | 136 | 133 | 126 | 121 | 123 | 112 | 104 | 93 | 88 | 90 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 249 | 237 | 225 | 230 | 218 | 214 | 208 | 211 | 207 | 202 | 207 | 206 | 195 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 182 | 171 | 169 | 163 | 155 | 140 | 126 | 124 | 126 | 131 | 135 | 132 | 128 | — | — | — | — | — | — | — | ||||||
| Micron Technology Inc. | 181 | 182 | 177 | 192 | 144 | 119 | 116 | 101 | 95 | 98 | 106 | 133 | 138 | 137 | 139 | 137 | 147 | — | — | — | ||||||
| NVIDIA Corp. | 162 | 135 | 121 | 112 | 101 | 94 | 97 | 100 | 106 | 99 | 105 | 96 | 86 | — | — | — | — | — | — | — | ||||||
| Qualcomm Inc. | 148 | 144 | 140 | 138 | 124 | 112 | 102 | 93 | 83 | 87 | 83 | 88 | 102 | 99 | 72 | 61 | 59 | — | — | — | ||||||
| Texas Instruments Inc. | 225 | 222 | 215 | 190 | 161 | 143 | 133 | 127 | 117 | 115 | 117 | 127 | 137 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 5.77 = 63
2 Click competitor name to see calculations.
- Inventory Turnover
- The inventory turnover ratio exhibited notable fluctuations from March 31, 2019, through December 31, 2023. After an initial absence of data before March 31, 2020, the ratio was relatively high at 12.57 and then increased to a peak of 15.72 by September 30, 2021. Subsequent quarters showed a general declining trend, decreasing steadily to 5.77 by December 31, 2023. This indicates a reduction in the frequency of inventory sold and replaced over the periods toward the end of the timeframe, suggesting a slowdown in inventory movement.
- Average Inventory Processing Period
- The average inventory processing period, measured in number of days, showed an inverse pattern relative to inventory turnover. Starting at 29 days on March 31, 2020, the processing period decreased to a low of 23 days by September 30, 2021. From then onwards, the processing period increased consistently, reaching a peak of 63 days on December 31, 2023. This upward trend suggests longer holding periods for inventory over recent quarters, corroborating the indication from the inventory turnover ratio of slower inventory movement.
- Summary of Trends and Insights
- Overall, the data signals a shift in inventory management dynamics over the analyzed periods. Early growth in inventory turnover and decreases in processing period imply improved efficiency and quicker inventory conversion into sales. Contrastingly, the subsequent decline in turnover and increase in processing time may point to challenges such as reduced sales velocity, supply chain inefficiencies, or strategic stockpiling. The pronounced increase in the average inventory processing period during the final quarters presents a potential area of concern for liquidity and operational efficiency going forward.
Average Receivable Collection Period
Enphase Energy Inc., average receivable collection period calculation (quarterly data)
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Receivables turnover | 5.14 | 4.84 | 5.37 | 5.07 | 5.29 | 5.49 | 5.56 | 4.25 | 4.14 | 4.52 | 3.77 | 3.69 | 4.25 | 5.88 | 8.06 | 7.64 | 4.29 | — | — | — | ||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||
| Average receivable collection period1 | 71 | 75 | 68 | 72 | 69 | 66 | 66 | 86 | 88 | 81 | 97 | 99 | 86 | 62 | 45 | 48 | 85 | — | — | — | ||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 87 | 83 | 72 | 64 | 64 | 69 | 69 | 71 | 60 | 55 | 55 | 70 | 77 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 44 | 46 | 46 | 47 | 55 | 57 | 60 | 71 | 73 | 46 | 48 | 52 | 48 | 45 | 39 | 37 | 39 | — | — | — | ||||||
| Applied Materials Inc. | 71 | 72 | 76 | 75 | 86 | 72 | 72 | 67 | 78 | 65 | 62 | 61 | 63 | 63 | 62 | 65 | 63 | — | — | — | ||||||
| Broadcom Inc. | 32 | 30 | 32 | 34 | 33 | 31 | 38 | 33 | 28 | 31 | 35 | 37 | 35 | 42 | 51 | 59 | 53 | — | — | — | ||||||
| Intel Corp. | 23 | 20 | 20 | 25 | 24 | 39 | 30 | 33 | 44 | 39 | 35 | 34 | 32 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 61 | 67 | 79 | 69 | 72 | 68 | 77 | 72 | 69 | 68 | 73 | 63 | 70 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 59 | 63 | 78 | 93 | 91 | 81 | 75 | 79 | 76 | 77 | 89 | 77 | 76 | — | — | — | — | — | — | — | ||||||
| Micron Technology Inc. | 57 | 49 | 36 | 45 | 61 | 70 | 63 | 65 | 70 | 61 | 52 | 61 | 67 | 65 | 57 | 60 | 50 | — | — | — | ||||||
| NVIDIA Corp. | 52 | 63 | 65 | 67 | 63 | 59 | 60 | 57 | 53 | 63 | 58 | 59 | 55 | — | — | — | — | — | — | — | ||||||
| Texas Instruments Inc. | 37 | 40 | 38 | 35 | 35 | 37 | 41 | 35 | 34 | 34 | 35 | 37 | 36 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.14 = 71
2 Click competitor name to see calculations.
The analysis of the receivables turnover ratio and the average receivable collection period over the given quarters indicates notable variations and trends in the company's efficiency in managing its receivables.
- Receivables Turnover Ratio
-
The receivables turnover ratio showed an initial increase from 4.29 in March 2020 to a peak of 8.06 in September 2020, reflecting an improvement in the company's ability to collect receivables more frequently during that period. Following this peak, the ratio declined to 5.88 by December 2020 and further decreased to values around 3.69 and 3.77 in the middle of 2021, suggesting a slowdown in collections.
From late 2021 onwards, the ratio exhibited a general recovery trend, rising gradually from 4.52 in December 2021 to reach 5.56 in September 2022. Subsequently, it remained relatively stable with slight fluctuations, settling around 5.14 by the end of 2023. - Average Receivable Collection Period
-
The average receivable collection period moved inversely to the receivables turnover ratio, starting at 85 days in March 2020 and decreasing significantly to 45 days by September 2020, which aligns with a more efficient collection process.
However, the collection period increased to 62 days at the end of 2020 and spiked further to 99 days in June 2021, indicating delays in receivables collection. Following this peak, the period shortened progressively to 66 days by September 2022.
From that point onward, the collection period experienced mild fluctuations but remained near the mid-to-high 60-day range, ending at 71 days in December 2023.
Overall, the data suggest the company experienced improved receivables management efficiency in mid to late 2020, followed by a period of deterioration in 2021. Since late 2021, the company has made moderate progress toward stabilizing and improving the collection period, but the metrics indicate some challenges in maintaining a consistently high turnover ratio and low collection period through 2023.
Operating Cycle
Enphase Energy Inc., operating cycle calculation (quarterly data)
No. days
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Average inventory processing period | 63 | 43 | 39 | 37 | 40 | 45 | 46 | 39 | 33 | 33 | 23 | 26 | 36 | 33 | 25 | 27 | 29 | — | — | — | ||||||
| Average receivable collection period | 71 | 75 | 68 | 72 | 69 | 66 | 66 | 86 | 88 | 81 | 97 | 99 | 86 | 62 | 45 | 48 | 85 | — | — | — | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Operating cycle1 | 134 | 118 | 107 | 109 | 109 | 111 | 112 | 125 | 121 | 114 | 120 | 125 | 122 | 95 | 70 | 75 | 114 | — | — | — | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 217 | 216 | 207 | 184 | 170 | 170 | 155 | 162 | 144 | 143 | 144 | 166 | 171 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 179 | 186 | 182 | 176 | 169 | 153 | 157 | 171 | 230 | 161 | 164 | 167 | 164 | 162 | 152 | 148 | 152 | — | — | — | ||||||
| Applied Materials Inc. | 219 | 221 | 228 | 232 | 243 | 223 | 212 | 198 | 207 | 195 | 200 | 204 | 213 | 222 | 219 | 215 | 217 | — | — | — | ||||||
| Broadcom Inc. | 94 | 90 | 93 | 95 | 96 | 93 | 95 | 86 | 73 | 71 | 70 | 70 | 70 | 80 | 85 | 93 | 85 | — | — | — | ||||||
| Intel Corp. | 148 | 148 | 151 | 161 | 157 | 165 | 151 | 156 | 156 | 143 | 128 | 122 | 122 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 310 | 304 | 304 | 299 | 290 | 282 | 285 | 283 | 276 | 270 | 280 | 269 | 265 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 241 | 234 | 247 | 256 | 246 | 221 | 201 | 203 | 202 | 208 | 224 | 209 | 204 | — | — | — | — | — | — | — | ||||||
| Micron Technology Inc. | 238 | 231 | 213 | 237 | 205 | 189 | 179 | 166 | 165 | 159 | 158 | 194 | 205 | 202 | 196 | 197 | 197 | — | — | — | ||||||
| NVIDIA Corp. | 214 | 198 | 186 | 179 | 164 | 153 | 157 | 157 | 159 | 162 | 163 | 155 | 141 | — | — | — | — | — | — | — | ||||||
| Texas Instruments Inc. | 262 | 262 | 253 | 225 | 196 | 180 | 174 | 162 | 151 | 149 | 152 | 164 | 173 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 63 + 71 = 134
2 Click competitor name to see calculations.
The analysis of the financial periods reveals distinct trends in the company's working capital management metrics over the observed quarters.
- Average Inventory Processing Period
- This metric shows an initial improvement from 29 days in March 2020, decreasing to 23 days by September 2021, indicating enhanced efficiency in inventory turnover during this timeframe. However, a reversal occurs thereafter, with the period extending to 63 days by December 2023. The increase in inventory days beginning in late 2021 suggests slower inventory movement, which could imply potential issues such as overstocking or decreased demand.
- Average Receivable Collection Period
- The receivables collection period exhibits volatility throughout the quarters. Starting at 85 days in March 2020, it decreases significantly to 45 days by September 2019, improving cash inflows. Subsequent fluctuations are observed, with peaks reaching 99 days in June 2021 and generally remaining elevated around the mid-70s days towards the end of 2023. This variability and gradual increase in collection time may point to challenges in collections or changes in credit policies, potentially impacting liquidity.
- Operating Cycle
- The operating cycle, which integrates inventory processing and receivables collection periods, correspondingly reflects these changes. It reduces from 114 days in March 2020 to a low of 70 days in September 2020, post which it trends upwards, peaking at 134 days in December 2023. The lengthening operating cycle suggests a slower overall conversion from inventory to cash, a condition that could stress working capital resources.
Overall, the data indicates that while efficiency improvements were observed in mid-2020, the latter periods demonstrate a deterioration in working capital efficiency, with longer inventory holding and receivable collection periods contributing to an elongated operating cycle. This trend warrants attention as it may affect the company’s liquidity and operational flexibility.
Average Payables Payment Period
Enphase Energy Inc., average payables payment period calculation (quarterly data)
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Payables turnover | 10.61 | 16.54 | 19.83 | 14.05 | 10.84 | 12.84 | 11.46 | 8.72 | 7.27 | 7.82 | 7.23 | 5.92 | 5.90 | 8.68 | 18.63 | 13.35 | 7.01 | — | — | — | ||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||
| Average payables payment period1 | 34 | 22 | 18 | 26 | 34 | 28 | 32 | 42 | 50 | 47 | 51 | 62 | 62 | 42 | 20 | 27 | 52 | — | — | — | ||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 72 | 77 | 92 | 81 | 83 | 82 | 61 | 63 | 60 | 50 | 44 | 57 | 37 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 41 | 48 | 47 | 45 | 47 | 43 | 41 | 45 | 58 | 47 | 50 | 42 | 43 | 41 | 37 | 40 | 42 | — | — | — | ||||||
| Broadcom Inc. | 40 | 32 | 27 | 30 | 33 | 24 | 37 | 37 | 37 | 33 | 29 | 31 | 29 | 39 | 44 | 36 | 31 | — | — | — | ||||||
| Intel Corp. | 96 | 97 | 96 | 85 | 97 | 70 | 79 | 74 | 60 | 72 | 63 | 56 | 59 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 32 | 35 | 47 | 46 | 45 | 46 | 43 | 47 | 45 | 41 | 38 | 38 | 39 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 18 | 21 | 32 | 43 | 39 | 41 | 39 | 36 | 39 | 39 | 41 | 41 | 40 | — | — | — | — | — | — | — | ||||||
| NVIDIA Corp. | 37 | 45 | 75 | 71 | 69 | 70 | 68 | 61 | 70 | 72 | 67 | 65 | 60 | — | — | — | — | — | — | — | ||||||
| Qualcomm Inc. | 44 | 38 | 29 | 51 | 74 | 77 | 83 | 85 | 70 | 76 | 79 | 83 | 89 | 87 | 87 | 74 | 58 | — | — | — | ||||||
| Texas Instruments Inc. | 45 | 40 | 53 | 55 | 50 | 46 | 43 | 39 | 40 | 37 | 37 | 38 | 29 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 10.61 = 34
2 Click competitor name to see calculations.
- Payables Turnover Ratio
- The payables turnover ratio exhibits significant variability over the presented periods. Starting from a value of 7.01 in March 2020, it sharply increased to 18.63 by September 2020, indicating a substantially faster payment cycle. This peak was followed by a notable decrease to 5.9 in March 2021. Throughout 2021 and 2022, the ratio generally trended upwards with fluctuations, with values ranging between approximately 7.23 and 12.84. The ratio reached another high point of 19.83 in June 2023 before declining again to 10.61 by December 2023. Overall, these fluctuations suggest intermittent changes in the company's payment efficiency and supplier payment policies.
- Average Payables Payment Period (Number of Days)
- The average payables payment period inversely mirrors the trend in the payables turnover ratio. From 52 days in March 2020, it declined sharply to 20 days by September 2020, consistent with the peak in turnover. Subsequently, the payment period lengthened to 62 days by March and June 2021, indicating slower payments. A downward trend occurred during 2022, with the period decreasing to 28 days by September, before slightly fluctuating and ending at 34 days in December 2023. The low point of 18 days in September 2023 corresponds with a high turnover ratio, reinforcing the inverse relationship between these metrics.
- Overall Insights
- The data reveals a cyclical payment behavior, with periods of accelerated payments alternating with slower payment intervals. The inverse relationship between the payables turnover ratio and the average payment period is typical and consistent throughout the timeframe. Peaks in turnover ratios correspond with the shortest payment periods, suggesting efforts to improve liquidity or take advantage of favorable payment terms during those quarters. Conversely, lower turnover ratios align with longer payment cycles, potentially indicating strategic changes in cash management or supplier negotiations.
Cash Conversion Cycle
Enphase Energy Inc., cash conversion cycle calculation (quarterly data)
No. days
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Average inventory processing period | 63 | 43 | 39 | 37 | 40 | 45 | 46 | 39 | 33 | 33 | 23 | 26 | 36 | 33 | 25 | 27 | 29 | — | — | — | ||||||
| Average receivable collection period | 71 | 75 | 68 | 72 | 69 | 66 | 66 | 86 | 88 | 81 | 97 | 99 | 86 | 62 | 45 | 48 | 85 | — | — | — | ||||||
| Average payables payment period | 34 | 22 | 18 | 26 | 34 | 28 | 32 | 42 | 50 | 47 | 51 | 62 | 62 | 42 | 20 | 27 | 52 | — | — | — | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Cash conversion cycle1 | 100 | 96 | 89 | 83 | 75 | 83 | 80 | 83 | 71 | 67 | 69 | 63 | 60 | 53 | 50 | 48 | 62 | — | — | — | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 145 | 139 | 115 | 103 | 87 | 88 | 94 | 99 | 84 | 93 | 100 | 109 | 134 | — | — | — | — | — | — | — | ||||||
| Analog Devices Inc. | 138 | 138 | 135 | 131 | 122 | 110 | 116 | 126 | 172 | 114 | 114 | 125 | 121 | 121 | 115 | 108 | 110 | — | — | — | ||||||
| Broadcom Inc. | 54 | 58 | 66 | 65 | 63 | 69 | 58 | 49 | 36 | 38 | 41 | 39 | 41 | 41 | 41 | 57 | 54 | — | — | — | ||||||
| Intel Corp. | 52 | 51 | 55 | 76 | 60 | 95 | 72 | 82 | 96 | 71 | 65 | 66 | 63 | — | — | — | — | — | — | — | ||||||
| KLA Corp. | 278 | 269 | 257 | 253 | 245 | 236 | 242 | 236 | 231 | 229 | 242 | 231 | 226 | — | — | — | — | — | — | — | ||||||
| Lam Research Corp. | 223 | 213 | 215 | 213 | 207 | 180 | 162 | 167 | 163 | 169 | 183 | 168 | 164 | — | — | — | — | — | — | — | ||||||
| NVIDIA Corp. | 177 | 153 | 111 | 108 | 95 | 83 | 89 | 96 | 89 | 90 | 96 | 90 | 81 | — | — | — | — | — | — | — | ||||||
| Texas Instruments Inc. | 217 | 222 | 200 | 170 | 146 | 134 | 131 | 123 | 111 | 112 | 115 | 126 | 144 | — | — | — | — | — | — | — | ||||||
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), 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 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 63 + 71 – 34 = 100
2 Click competitor name to see calculations.
- Average Inventory Processing Period
-
The average inventory processing period exhibited variability over the observed periods. Starting at 29 days in March 2020, it decreased to a low of 23 days in September 2021, indicating improved inventory turnover efficiency during this time. However, following this decline, the period lengthened considerably, reaching 63 days by December 2023. This upward trend in recent quarters suggests a slowdown in inventory processing, potentially indicating challenges in managing inventory or changes in demand patterns.
- Average Receivable Collection Period
-
The average receivable collection period showed significant fluctuations throughout the timeline. Initially, the collection period was 85 days in March 2020, improved to a low of 45 days by September 2019, and then generally increased again, peaking around 99 days in June 2021. Post this peak, the period remained somewhat elevated but demonstrated a slight decline, standing at 71 days by December 2023. These data points indicate that while there were periods of quicker receivable turnover, the company consistently faced moderate to extended durations in collecting receivables, which could impact liquidity.
- Average Payables Payment Period
-
The average payables payment period experienced a decreasing trend from 52 days in March 2020 to 18 days in September 2023, with some fluctuations in between. The period notably dropped sharply from 42 days in December 2020 to 32 days in June 2022, reflecting a tendency towards faster payment to suppliers. This trend may imply an effort to maintain strong supplier relationships or changes in credit terms, though a slight increase to 34 days was observed by December 2023.
- Cash Conversion Cycle
-
The cash conversion cycle lengthened significantly over the observed timeframe. Starting at 62 days in March 2020, it fluctuated moderately around the 50 to 70 day range until mid-2021. Subsequently, a steady increase is observed, peaking at 100 days by December 2023. The rising cash conversion cycle suggests that the company is taking longer to convert its investments in inventory and receivables into cash, which may indicate tightening working capital management or operational inefficiencies sustaining higher capital locked in operations.
- Overall Observations
-
Overall, the data point to a challenging environment in terms of working capital management in recent years. Despite some periods of improvement in inventory processing and receivable collection, the prevailing trends indicate increasing durations for inventory turnover and cash conversion cycles. The consistently shortening payables payment period contrasts with the lengthening receivables and inventory days, potentially putting pressure on cash flows. These mixed trends warrant attention for optimizing operational efficiency and liquidity management going forward.