Analysis of Short-term (Operating) Activity Ratios
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)
Super Micro Computer Inc., short-term (operating) activity ratios
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
| Short-term activity ratio | Description | The company |
|---|---|---|
| Inventory turnover | An activity ratio calculated as cost of goods sold divided by inventory. | Super Micro Computer Inc. inventory turnover ratio deteriorated from 2021 to 2022 but then improved from 2022 to 2023 exceeding 2021 level. |
| Receivables turnover | An activity ratio equal to revenue divided by receivables. | Super Micro Computer Inc. receivables turnover ratio deteriorated from 2021 to 2022 and from 2022 to 2023. |
| Payables turnover | An activity ratio calculated as cost of goods sold divided by payables. | Super Micro Computer Inc. payables turnover ratio increased from 2021 to 2022 and from 2022 to 2023. |
| Working capital turnover | An activity ratio calculated as revenue divided by working capital. | Super Micro Computer Inc. working capital turnover ratio deteriorated from 2021 to 2022 but then improved from 2022 to 2023 not reaching 2021 level. |
| Short-term activity ratio | Description | The company |
|---|---|---|
| Average inventory processing period | An activity ratio equal to the number of days in the period divided by inventory turnover over the period. | Super Micro Computer Inc. number of days of inventory outstanding deteriorated from 2021 to 2022 but then improved from 2022 to 2023 exceeding 2021 level. |
| Average receivable collection period | An activity ratio equal to the number of days in the period divided by receivables turnover. | |
| Operating cycle | Equal to average inventory processing period plus average receivables collection period. | Super Micro Computer Inc. operating cycle deteriorated from 2021 to 2022 but then improved from 2022 to 2023 exceeding 2021 level. |
| Average payables payment period | An estimate of the average number of days it takes a company to pay its suppliers; equal to the number of days in the period divided by payables turnover ratio for the period. | Super Micro Computer Inc. number of days of payables outstanding decreased from 2021 to 2022 and from 2022 to 2023. |
| Cash conversion cycle | A financial metric that measures the length of time required for a company to convert cash invested in its operations to cash received as a result of its operations; equal to average inventory processing period plus average receivables collection period minus average payables payment period. |
Inventory Turnover
Super Micro Computer Inc., inventory turnover calculation, comparison to benchmarks
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||
| Cost of sales | 5,840,470) | 4,396,098) | 3,022,884) | 2,813,071) | 3,004,838) | 2,930,498) | |
| Inventories | 1,445,564) | 1,545,606) | 1,040,964) | 851,498) | 670,188) | 853,252) | |
| Short-term Activity Ratio | |||||||
| Inventory turnover1 | 4.04 | 2.84 | 2.90 | 3.30 | 4.48 | 3.43 | |
| Benchmarks | |||||||
| Inventory Turnover, Competitors2 | |||||||
| Apple Inc. | 33.82 | 45.20 | 32.37 | 41.75 | 39.40 | — | |
| Arista Networks Inc. | 1.15 | 1.32 | 1.64 | 1.74 | 3.55 | — | |
| Cisco Systems Inc. | 5.83 | 7.52 | 11.50 | 13.74 | 13.91 | — | |
| Inventory Turnover, Sector | |||||||
| Technology Hardware & Equipment | 18.21 | 24.06 | 23.91 | 28.59 | 28.88 | — | |
| Inventory Turnover, Industry | |||||||
| Information Technology | 7.40 | 8.17 | 9.78 | 10.43 | 10.62 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Inventory turnover = Cost of sales ÷ Inventories
= 5,840,470 ÷ 1,445,564 = 4.04
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Inventory turnover | An activity ratio calculated as cost of goods sold divided by inventory. | Super Micro Computer Inc. inventory turnover ratio deteriorated from 2021 to 2022 but then improved from 2022 to 2023 exceeding 2021 level. |
Receivables Turnover
Super Micro Computer Inc., receivables turnover calculation, comparison to benchmarks
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||
| Net sales | 7,123,482) | 5,196,099) | 3,557,422) | 3,339,281) | 3,500,360) | 3,360,492) | |
| Accounts receivable, net of allowance for credit losses | 1,148,259) | 834,513) | 463,834) | 403,745) | 393,624) | 451,393) | |
| Short-term Activity Ratio | |||||||
| Receivables turnover1 | 6.20 | 6.23 | 7.67 | 8.27 | 8.89 | 7.44 | |
| Benchmarks | |||||||
| Receivables Turnover, Competitors2 | |||||||
| Apple Inc. | 12.99 | 13.99 | 13.92 | 17.03 | 11.35 | — | |
| Arista Networks Inc. | 5.72 | 4.75 | 5.71 | 5.95 | 6.15 | — | |
| Cisco Systems Inc. | 9.74 | 7.79 | 8.64 | 9.01 | 9.45 | — | |
| Receivables Turnover, Sector | |||||||
| Technology Hardware & Equipment | 12.08 | 12.46 | 12.78 | 14.72 | 10.89 | — | |
| Receivables Turnover, Industry | |||||||
| Information Technology | 7.37 | 7.42 | 7.55 | 8.00 | 7.59 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Receivables turnover = Net sales ÷ Accounts receivable, net of allowance for credit losses
= 7,123,482 ÷ 1,148,259 = 6.20
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Receivables turnover | An activity ratio equal to revenue divided by receivables. | Super Micro Computer Inc. receivables turnover ratio deteriorated from 2021 to 2022 and from 2022 to 2023. |
Payables Turnover
Super Micro Computer Inc., payables turnover calculation, comparison to benchmarks
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||
| Cost of sales | 5,840,470) | 4,396,098) | 3,022,884) | 2,813,071) | 3,004,838) | 2,930,498) | |
| Accounts payable | 776,831) | 655,403) | 612,336) | 417,673) | 360,470) | 527,158) | |
| Short-term Activity Ratio | |||||||
| Payables turnover1 | 7.52 | 6.71 | 4.94 | 6.74 | 8.34 | 5.56 | |
| Benchmarks | |||||||
| Payables Turnover, Competitors2 | |||||||
| Apple Inc. | 3.42 | 3.49 | 3.89 | 4.01 | 3.50 | — | |
| Arista Networks Inc. | 5.13 | 7.33 | 5.27 | 6.23 | 9.41 | — | |
| Cisco Systems Inc. | 9.19 | 8.47 | 7.59 | 7.94 | 9.34 | — | |
| Payables Turnover, Sector | |||||||
| Technology Hardware & Equipment | 3.68 | 3.70 | 4.06 | 4.23 | 3.79 | — | |
| Payables Turnover, Industry | |||||||
| Information Technology | 4.87 | 4.54 | 4.99 | 5.35 | 5.27 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Payables turnover = Cost of sales ÷ Accounts payable
= 5,840,470 ÷ 776,831 = 7.52
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Payables turnover | An activity ratio calculated as cost of goods sold divided by payables. | Super Micro Computer Inc. payables turnover ratio increased from 2021 to 2022 and from 2022 to 2023. |
Working Capital Turnover
Super Micro Computer Inc., working capital turnover calculation, comparison to benchmarks
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||
| Current assets | 3,179,426) | 2,806,315) | 1,867,259) | 1,592,761) | 1,421,771) | 1,530,878) | |
| Less: Current liabilities | 1,374,652) | 1,470,024) | 968,896) | 707,635) | 605,969) | 811,557) | |
| Working capital | 1,804,774) | 1,336,291) | 898,363) | 885,126) | 815,802) | 719,321) | |
| Net sales | 7,123,482) | 5,196,099) | 3,557,422) | 3,339,281) | 3,500,360) | 3,360,492) | |
| Short-term Activity Ratio | |||||||
| Working capital turnover1 | 3.95 | 3.89 | 3.96 | 3.77 | 4.29 | 4.67 | |
| Benchmarks | |||||||
| Working Capital Turnover, Competitors2 | |||||||
| Apple Inc. | — | — | 39.10 | 7.16 | 4.56 | — | |
| Arista Networks Inc. | 0.90 | 1.03 | 0.80 | 0.76 | 0.84 | — | |
| Cisco Systems Inc. | 4.73 | 4.65 | 3.88 | 2.70 | 3.24 | — | |
| Working Capital Turnover, Sector | |||||||
| Technology Hardware & Equipment | 24.39 | — | 15.74 | 5.44 | 4.14 | — | |
| Working Capital Turnover, Industry | |||||||
| Information Technology | 5.24 | 5.71 | 3.86 | 2.86 | 3.06 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Working capital turnover = Net sales ÷ Working capital
= 7,123,482 ÷ 1,804,774 = 3.95
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Working capital turnover | An activity ratio calculated as revenue divided by working capital. | Super Micro Computer Inc. working capital turnover ratio deteriorated from 2021 to 2022 but then improved from 2022 to 2023 not reaching 2021 level. |
Average Inventory Processing Period
Super Micro Computer Inc., average inventory processing period calculation, comparison to benchmarks
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Inventory turnover | 4.04 | 2.84 | 2.90 | 3.30 | 4.48 | 3.43 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average inventory processing period1 | 90 | 128 | 126 | 110 | 81 | 106 | |
| Benchmarks (no. days) | |||||||
| Average Inventory Processing Period, Competitors2 | |||||||
| Apple Inc. | 11 | 8 | 11 | 9 | 9 | — | |
| Arista Networks Inc. | 318 | 276 | 222 | 210 | 103 | — | |
| Cisco Systems Inc. | 63 | 49 | 32 | 27 | 26 | — | |
| Average Inventory Processing Period, Sector | |||||||
| Technology Hardware & Equipment | 20 | 15 | 15 | 13 | 13 | — | |
| Average Inventory Processing Period, Industry | |||||||
| Information Technology | 49 | 45 | 37 | 35 | 34 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 4.04 = 90
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Average inventory processing period | An activity ratio equal to the number of days in the period divided by inventory turnover over the period. | Super Micro Computer Inc. number of days of inventory outstanding deteriorated from 2021 to 2022 but then improved from 2022 to 2023 exceeding 2021 level. |
Average Receivable Collection Period
Super Micro Computer Inc., average receivable collection period calculation, comparison to benchmarks
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Receivables turnover | 6.20 | 6.23 | 7.67 | 8.27 | 8.89 | 7.44 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average receivable collection period1 | 59 | 59 | 48 | 44 | 41 | 49 | |
| Benchmarks (no. days) | |||||||
| Average Receivable Collection Period, Competitors2 | |||||||
| Apple Inc. | 28 | 26 | 26 | 21 | 32 | — | |
| Arista Networks Inc. | 64 | 77 | 64 | 61 | 59 | — | |
| Cisco Systems Inc. | 37 | 47 | 42 | 41 | 39 | — | |
| Average Receivable Collection Period, Sector | |||||||
| Technology Hardware & Equipment | 30 | 29 | 29 | 25 | 34 | — | |
| Average Receivable Collection Period, Industry | |||||||
| Information Technology | 50 | 49 | 48 | 46 | 48 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 6.20 = 59
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Average receivable collection period | An activity ratio equal to the number of days in the period divided by receivables turnover. |
Operating Cycle
Super Micro Computer Inc., operating cycle calculation, comparison to benchmarks
No. days
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Average inventory processing period | 90 | 128 | 126 | 110 | 81 | 106 | |
| Average receivable collection period | 59 | 59 | 48 | 44 | 41 | 49 | |
| Short-term Activity Ratio | |||||||
| Operating cycle1 | 149 | 187 | 174 | 154 | 122 | 155 | |
| Benchmarks | |||||||
| Operating Cycle, Competitors2 | |||||||
| Apple Inc. | 39 | 34 | 37 | 30 | 41 | — | |
| Arista Networks Inc. | 382 | 353 | 286 | 271 | 162 | — | |
| Cisco Systems Inc. | 100 | 96 | 74 | 68 | 65 | — | |
| Operating Cycle, Sector | |||||||
| Technology Hardware & Equipment | 50 | 44 | 44 | 38 | 47 | — | |
| Operating Cycle, Industry | |||||||
| Information Technology | 99 | 94 | 85 | 81 | 82 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 90 + 59 = 149
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Operating cycle | Equal to average inventory processing period plus average receivables collection period. | Super Micro Computer Inc. operating cycle deteriorated from 2021 to 2022 but then improved from 2022 to 2023 exceeding 2021 level. |
Average Payables Payment Period
Super Micro Computer Inc., average payables payment period calculation, comparison to benchmarks
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Payables turnover | 7.52 | 6.71 | 4.94 | 6.74 | 8.34 | 5.56 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average payables payment period1 | 49 | 54 | 74 | 54 | 44 | 66 | |
| Benchmarks (no. days) | |||||||
| Average Payables Payment Period, Competitors2 | |||||||
| Apple Inc. | 107 | 105 | 94 | 91 | 104 | — | |
| Arista Networks Inc. | 71 | 50 | 69 | 59 | 39 | — | |
| Cisco Systems Inc. | 40 | 43 | 48 | 46 | 39 | — | |
| Average Payables Payment Period, Sector | |||||||
| Technology Hardware & Equipment | 99 | 99 | 90 | 86 | 96 | — | |
| Average Payables Payment Period, Industry | |||||||
| Information Technology | 75 | 80 | 73 | 68 | 69 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 7.52 = 49
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Average payables payment period | An estimate of the average number of days it takes a company to pay its suppliers; equal to the number of days in the period divided by payables turnover ratio for the period. | Super Micro Computer Inc. number of days of payables outstanding decreased from 2021 to 2022 and from 2022 to 2023. |
Cash Conversion Cycle
Super Micro Computer Inc., cash conversion cycle calculation, comparison to benchmarks
No. days
| Jun 30, 2023 | Jun 30, 2022 | Jun 30, 2021 | Jun 30, 2020 | Jun 30, 2019 | Jun 30, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Average inventory processing period | 90 | 128 | 126 | 110 | 81 | 106 | |
| Average receivable collection period | 59 | 59 | 48 | 44 | 41 | 49 | |
| Average payables payment period | 49 | 54 | 74 | 54 | 44 | 66 | |
| Short-term Activity Ratio | |||||||
| Cash conversion cycle1 | 100 | 133 | 100 | 100 | 78 | 89 | |
| Benchmarks | |||||||
| Cash Conversion Cycle, Competitors2 | |||||||
| Apple Inc. | -68 | -71 | -57 | -61 | -63 | — | |
| Arista Networks Inc. | 311 | 303 | 217 | 212 | 123 | — | |
| Cisco Systems Inc. | 60 | 53 | 26 | 22 | 26 | — | |
| Cash Conversion Cycle, Sector | |||||||
| Technology Hardware & Equipment | -49 | -55 | -46 | -48 | -49 | — | |
| Cash Conversion Cycle, Industry | |||||||
| Information Technology | 24 | 14 | 12 | 13 | 13 | — | |
Based on: 10-K (reporting date: 2023-06-30), 10-K (reporting date: 2022-06-30), 10-K (reporting date: 2021-06-30), 10-K (reporting date: 2020-06-30), 10-K (reporting date: 2019-06-30), 10-K (reporting date: 2018-06-30).
1 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 90 + 59 – 49 = 100
2 Click competitor name to see calculations.
| Short-term activity ratio | Description | The company |
|---|---|---|
| Cash conversion cycle | A financial metric that measures the length of time required for a company to convert cash invested in its operations to cash received as a result of its operations; equal to average inventory processing period plus average receivables collection period minus average payables payment period. |