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)
Automatic Data Processing Inc., short-term (operating) activity ratios (quarterly data)
Based on: 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-K (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-K (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-K (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-K (reporting date: 2016-06-30), 10-Q (reporting date: 2016-03-31), 10-Q (reporting date: 2015-12-31), 10-Q (reporting date: 2015-09-30).
The analysis of the financial ratios over the reported periods reveals several notable trends related to receivables, payables, and working capital management.
- Receivables turnover
- The receivables turnover ratio demonstrates a declining trend from a high of 7.32 in December 2015 to 4.96 by March 2022. This gradual decrease suggests that the company is taking longer to collect its receivables over time. The corresponding average receivable collection period supports this observation, increasing from around 50 days early in the series (December 2015) to approximately 64 days by March 2022, indicating a slower conversion of receivables to cash.
- Payables turnover
- The payables turnover ratio exhibits substantial variability across the periods. Initially, it rose sharply from 44.91 in September 2015 to peaks exceeding 100 towards the end of the period, notably reaching 113.6 in March 2022. This enhancement signals a faster rate of paying suppliers. The average payables payment period corroborates this, showing a decline from 8 days in September 2015 to about 3-4 days in recent quarters, implying the company is accelerating payments to trade creditors.
- Working capital turnover
- The working capital turnover ratio presents marked fluctuations with a general increasing trend early on, climbing from around 3.19 in 2015 to a peak of 46.64 in December 2019. However, this spike in late 2019 appears exceptional and may reflect unusual working capital levels or accounting treatments during that period. Afterward, the ratio receded to more normalized figures in the 5 to 10 range by 2022 but with intermittent volatility. This variability suggests notable changes in working capital management strategies, possibly aligned with operational shifts or external factors.
In summary, the data indicates a slower collection of receivables over time, contrasted with much quicker payments of payables. The company's working capital turnover has experienced significant volatility, including an extraordinary peak in late 2019. These patterns point to evolving liquidity management practices, with potential implications for cash flow timing and operational efficiency.
Turnover Ratios
Average No. Days
Receivables Turnover
Automatic Data Processing Inc., receivables turnover calculation (quarterly data)
| 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 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | Mar 31, 2016 | Dec 31, 2015 | Sep 30, 2015 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||||
| Revenues | 4,513,000) | 4,025,400) | 3,832,300) | 3,737,000) | 4,102,000) | 3,695,700) | 3,470,700) | 3,376,800) | 4,047,800) | 3,669,500) | 3,495,700) | 3,498,700) | 3,847,400) | 3,505,900) | 3,323,200) | 3,318,600) | 3,693,000) | 3,235,400) | 3,078,800) | 3,064,800) | 3,410,800) | 2,987,300) | 2,916,900) | 2,898,200) | 3,248,600) | 2,807,000) | 2,714,000) | ||||||||
| Accounts receivable, net of allowance for doubtful accounts | 3,250,700) | 2,736,000) | 2,769,700) | 2,727,400) | 2,765,400) | 2,509,800) | 2,489,100) | 2,441,300) | 2,620,600) | 2,587,900) | 2,490,400) | 2,439,300) | 2,485,200) | 2,638,100) | 2,216,400) | 1,984,200) | 2,043,400) | 2,045,500) | 1,788,700) | 1,703,600) | 1,811,500) | 1,839,500) | 1,620,600) | 1,742,800) | 2,074,400) | 1,634,200) | 1,565,200) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Receivables turnover1 | 4.96 | 5.74 | 5.55 | 5.50 | 5.30 | 5.81 | 5.85 | 5.98 | 5.61 | 5.61 | 5.76 | 5.81 | 5.63 | 5.25 | 6.12 | 6.72 | 6.40 | 6.25 | 7.01 | 7.27 | 6.74 | 6.55 | 7.32 | 6.69 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
| Adobe Inc. | 9.98 | 10.51 | 9.58 | 8.41 | 9.77 | 9.74 | 9.00 | 9.20 | 9.44 | 8.82 | 8.40 | 7.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Cadence Design Systems Inc. | 8.78 | 8.38 | 8.72 | 8.85 | 9.09 | 7.41 | 7.21 | 7.93 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| CrowdStrike Holdings Inc. | 4.54 | 4.27 | 4.73 | 3.66 | 4.41 | 4.38 | 3.91 | 2.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Datadog Inc. | 4.39 | 4.47 | 4.33 | 3.83 | 3.92 | 4.06 | 4.35 | 3.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Fair Isaac Corp. | 4.76 | 4.95 | 5.10 | 4.22 | 4.83 | 5.03 | 4.21 | 3.87 | 4.04 | 3.99 | 4.25 | 3.90 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| International Business Machines Corp. | 10.95 | 10.17 | 9.79 | 8.49 | 9.23 | 9.57 | 10.72 | 10.32 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intuit Inc. | 17.44 | 12.84 | 25.10 | 24.64 | 16.04 | 16.60 | 79.16 | 51.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Microsoft Corp. | 5.90 | 5.52 | 6.44 | 4.42 | 6.08 | 5.61 | 6.44 | 4.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Oracle Corp. | 9.12 | 9.28 | 9.11 | 7.48 | 8.56 | 8.91 | 8.57 | 7.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palantir Technologies Inc. | 5.33 | 6.56 | 6.42 | 8.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palo Alto Networks Inc. | 4.17 | 5.10 | 5.61 | 3.43 | 5.20 | 5.65 | 5.30 | 3.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Salesforce Inc. | 6.22 | 5.78 | 7.04 | 2.73 | 6.12 | 5.63 | 5.93 | 2.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| ServiceNow Inc. | 7.71 | 7.74 | 7.59 | 4.24 | 7.13 | 6.62 | 7.49 | 4.48 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Synopsys Inc. | 7.25 | 6.58 | 4.34 | 7.40 | 7.06 | 6.51 | 4.84 | 4.72 | 5.50 | 5.36 | 4.22 | 6.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Workday Inc. | 5.66 | 5.35 | 6.91 | 4.18 | 5.60 | 5.75 | 6.54 | 4.13 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-K (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-K (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-K (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-K (reporting date: 2016-06-30), 10-Q (reporting date: 2016-03-31), 10-Q (reporting date: 2015-12-31), 10-Q (reporting date: 2015-09-30).
1 Q3 2022 Calculation
Receivables turnover
= (RevenuesQ3 2022
+ RevenuesQ2 2022
+ RevenuesQ1 2022
+ RevenuesQ4 2021)
÷ Accounts receivable, net of allowance for doubtful accounts
= (4,513,000 + 4,025,400 + 3,832,300 + 3,737,000)
÷ 3,250,700 = 4.96
2 Click competitor name to see calculations.
- Revenue Trends
- Revenues exhibit a generally upward trend from September 2015 through March 2022, increasing from approximately 2.7 billion USD to over 4.5 billion USD. Periodic fluctuations are observed, with a cyclical pattern of increases followed by moderate declines within quarters, but the overall trajectory remains positive. Notable revenue peaks occur around March 2018, March 2019, and the end of the series near March 2022, indicating periods of strong growth. Several dips intersperse this growth, particularly around mid-year quarters, suggesting some seasonality or variability in revenue generation.
- Accounts Receivable, Net
- Accounts receivable, net of allowances, demonstrate an increasing trend over the analyzed period, rising from about 1.57 billion USD in September 2015 to over 3.25 billion USD by March 2022. The growth appears consistent, with occasional periods of decline or stabilization, such as in mid-2016 and late 2020, followed by resumed rises. This increase suggests expanding credit sales or slower collection periods, aligning with revenue growth but at a rate that demands monitoring to assess efficiency in receivables management.
- Receivables Turnover Ratio
- The receivables turnover ratio presents a declining pattern, with initial values around 6.7 in early quarters dropping to below 5.0 by March 2022. This ratio's decrease over time indicates a reduction in the frequency with which receivables are collected during the period. Lower turnover may imply extended collection periods or potential challenges in converting receivables into cash promptly, which could impact liquidity. The downward trend contrasts with rising revenue and accounts receivable figures, highlighting a possible efficiency concern in the management of outstanding receivables.
- Overall Insights
- The data collectively reflect a company experiencing consistent revenue growth alongside increasing accounts receivable balances. However, the decreasing receivables turnover ratio suggests that the pace of collections is slowing in relation to sales growth. This pattern may warrant closer examination to ensure that credit policies and collection practices remain effective and do not adversely affect cash flow or increase credit risk. Monitoring liquidity measures and potential impairments in receivables would be advisable, considering these trends.
Payables Turnover
Automatic Data Processing Inc., payables turnover calculation (quarterly data)
| 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 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | Mar 31, 2016 | Dec 31, 2015 | Sep 30, 2015 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||||
| Costs of revenues | 2,512,200) | 2,341,200) | 2,222,600) | 2,205,500) | 2,278,100) | 2,122,400) | 2,034,300) | 2,067,100) | 2,239,100) | 2,094,100) | 2,044,800) | 2,020,600) | 2,111,800) | 2,013,700) | 1,940,500) | 1,952,100) | 2,077,400) | 1,946,700) | 1,866,400) | 1,847,400) | 1,911,000) | 1,767,800) | 1,743,600) | 1,698,600) | 1,812,700) | 1,682,500) | 1,646,500) | ||||||||
| Accounts payable | 81,700) | 103,500) | 77,800) | 141,100) | 112,200) | 113,900) | 111,200) | 102,000) | 115,500) | 132,900) | 108,800) | 125,500) | 156,300) | 151,300) | 131,800) | 135,400) | 105,700) | 136,800) | 112,600) | 149,700) | 126,500) | 137,400) | 117,800) | 152,300) | 158,400) | 138,700) | 146,500) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Payables turnover1 | 113.60 | 87.41 | 113.48 | 61.24 | 75.77 | 74.30 | 75.85 | 82.80 | 72.72 | 62.24 | 75.28 | 64.44 | 51.30 | 52.77 | 60.07 | 57.92 | 73.21 | 55.35 | 65.65 | 48.56 | 56.29 | 51.11 | 58.89 | 44.91 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
| Accenture PLC | 16.93 | 17.22 | 16.45 | 15.03 | 16.92 | 17.94 | 20.16 | 22.48 | 21.75 | 20.11 | 19.17 | 18.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Adobe Inc. | 6.66 | 5.53 | 6.54 | 5.98 | 5.40 | 5.60 | 6.76 | 5.63 | 7.62 | 6.00 | 6.52 | 7.98 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| CrowdStrike Holdings Inc. | 47.07 | 15.13 | 75.30 | 19.03 | 27.52 | 17.99 | 24.39 | 105.30 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Datadog Inc. | 11.48 | 6.02 | 14.07 | 9.27 | 6.00 | 6.10 | 12.46 | 6.10 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Fair Isaac Corp. | 16.79 | 17.57 | 15.28 | 16.02 | 18.01 | 18.22 | 16.55 | 15.68 | 17.94 | 13.99 | 10.83 | 14.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| International Business Machines Corp. | 7.35 | 7.40 | 7.69 | 6.54 | 6.71 | 7.47 | 8.35 | 7.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intuit Inc. | 2.52 | 2.31 | 3.47 | 2.70 | 2.56 | 2.82 | 5.25 | 4.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Microsoft Corp. | 3.74 | 3.76 | 3.70 | 3.44 | 3.77 | 3.80 | 3.73 | 3.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Oracle Corp. | 7.65 | 8.03 | 10.79 | 10.54 | 9.49 | 10.71 | 14.72 | 12.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palantir Technologies Inc. | 6.58 | 6.53 | 13.10 | 4.53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palo Alto Networks Inc. | 14.68 | 12.25 | 14.46 | 22.41 | 16.80 | 25.37 | 21.85 | 15.72 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| ServiceNow Inc. | 7.86 | 5.60 | 8.57 | 15.20 | 19.64 | 11.82 | 9.75 | 28.83 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Workday Inc. | 28.20 | 24.24 | 25.48 | 15.85 | 21.29 | 19.83 | 31.83 | 18.51 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-K (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-K (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-K (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-K (reporting date: 2016-06-30), 10-Q (reporting date: 2016-03-31), 10-Q (reporting date: 2015-12-31), 10-Q (reporting date: 2015-09-30).
1 Q3 2022 Calculation
Payables turnover
= (Costs of revenuesQ3 2022
+ Costs of revenuesQ2 2022
+ Costs of revenuesQ1 2022
+ Costs of revenuesQ4 2021)
÷ Accounts payable
= (2,512,200 + 2,341,200 + 2,222,600 + 2,205,500)
÷ 81,700 = 113.60
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals several key trends concerning costs of revenues, accounts payable, and payables turnover ratios over the period from September 2015 through March 2022.
- Costs of Revenues
- The costs of revenues display a general upward trend throughout the analyzed quarters. Starting at approximately $1.65 billion in the third quarter of 2015, there is some fluctuation but the overall trajectory is an increase, reaching approximately $2.51 billion by the first quarter of 2022. Intermittent quarterly decreases are minor and temporary relative to the general growth seen. This pattern suggests sustained operational scaling or rising cost inputs over time.
- Accounts Payable
- Accounts payable figures exhibit considerable volatility without a clear long-term directional trend. Initial values around $146 million in late 2015 fluctuate significantly, with recorded lows near $77.8 million in the fourth quarter of 2021 and highs exceeding $156 million in the third quarter of 2018. Such variability may reflect changes in supplier terms, payment policies, or working capital management strategies employed during the periods.
- Payables Turnover Ratio
- The payables turnover ratio shows an increasing trend over the available quarters, suggesting a faster rate at which accounts payable are being settled relative to purchases. The ratio begins at values in the mid-forties and progresses to peaks above 113 in the later quarters of 2021 and early 2022. This acceleration in turnover could indicate improved liquidity management or stronger negotiation of payment terms leading to quicker payment cycles.
- Relationship Among Metrics
- Despite the rising costs of revenues, the accounts payable figures do not show a proportional increase, which may imply tighter credit terms or changes in payment timing. The increasing payables turnover corroborates this interpretation, indicating a trend toward more rapid payment of obligations. This could be reflective of efficient cash flow management or strategic supplier relationships during the period under review.
Overall, the data suggest an increasing operational scale as indicated by escalating costs alongside evolving payment practices aimed at potentially optimizing working capital and supplier management.
Working Capital Turnover
Automatic Data Processing Inc., working capital turnover calculation (quarterly data)
| 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 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | Mar 31, 2016 | Dec 31, 2015 | Sep 30, 2015 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||||
| Current assets | 63,903,800) | 51,107,300) | 52,047,900) | 40,741,800) | 46,752,400) | 41,662,300) | 34,815,400) | 31,564,100) | 35,708,700) | 41,365,000) | 29,508,500) | 34,342,300) | 40,924,000) | 31,682,600) | 29,955,900) | 32,050,000) | 38,714,000) | 39,350,000) | 31,002,600) | 32,658,700) | 39,514,400) | 35,808,100) | 30,124,200) | 39,500,400) | 46,819,000) | 35,659,200) | 30,176,100) | ||||||||
| Less: Current liabilities | 63,106,500) | 49,084,000) | 49,669,900) | 38,094,800) | 44,615,200) | 39,176,500) | 32,329,600) | 30,126,600) | 34,672,800) | 40,522,400) | 29,200,900) | 32,627,700) | 39,166,000) | 30,296,900) | 29,037,300) | 30,413,600) | 36,741,200) | 37,250,900) | 28,286,600) | 29,815,900) | 36,418,500) | 32,956,300) | 26,719,300) | 35,847,400) | 43,250,400) | 32,468,100) | 26,587,300) | ||||||||
| Working capital | 797,300) | 2,023,300) | 2,378,000) | 2,647,000) | 2,137,200) | 2,485,800) | 2,485,800) | 1,437,500) | 1,035,900) | 842,600) | 307,600) | 1,714,600) | 1,758,000) | 1,385,700) | 918,600) | 1,636,400) | 1,972,800) | 2,099,100) | 2,716,000) | 2,842,800) | 3,095,900) | 2,851,800) | 3,404,900) | 3,653,000) | 3,568,600) | 3,191,100) | 3,588,800) | ||||||||
| Revenues | 4,513,000) | 4,025,400) | 3,832,300) | 3,737,000) | 4,102,000) | 3,695,700) | 3,470,700) | 3,376,800) | 4,047,800) | 3,669,500) | 3,495,700) | 3,498,700) | 3,847,400) | 3,505,900) | 3,323,200) | 3,318,600) | 3,693,000) | 3,235,400) | 3,078,800) | 3,064,800) | 3,410,800) | 2,987,300) | 2,916,900) | 2,898,200) | 3,248,600) | 2,807,000) | 2,714,000) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Working capital turnover1 | 20.20 | 7.76 | 6.46 | 5.67 | 6.85 | 5.87 | 5.86 | 10.15 | 14.20 | 17.22 | 46.64 | 8.27 | 7.96 | 9.99 | 14.77 | 8.14 | 6.63 | 6.09 | 4.62 | 4.35 | 3.94 | 4.23 | 3.49 | 3.19 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
| Accenture PLC | 13.41 | 15.55 | 15.85 | 12.77 | 7.71 | 8.35 | 7.70 | 8.71 | 10.32 | 10.56 | 9.98 | 9.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Adobe Inc. | 16.36 | 31.92 | 57.86 | 9.09 | 6.22 | 7.44 | 8.67 | 4.89 | 5.51 | 8.11 | 9.50 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Cadence Design Systems Inc. | 8.31 | 5.34 | 4.07 | 4.01 | 4.68 | 5.45 | 5.03 | 3.94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| CrowdStrike Holdings Inc. | 1.15 | 1.02 | 0.95 | 0.61 | 1.19 | 0.92 | 0.81 | 0.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Datadog Inc. | 1.02 | 0.95 | 0.85 | 0.77 | 0.68 | 0.61 | 0.47 | 0.42 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Fair Isaac Corp. | 15.25 | 13.60 | 9.46 | — | 111.99 | 25.98 | 11.15 | 10.83 | 53.70 | 318.71 | 63.09 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| International Business Machines Corp. | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intuit Inc. | 5.68 | 21.87 | 4.39 | 3.85 | 3.40 | 5.45 | 1.74 | 1.73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Microsoft Corp. | 2.52 | 1.91 | 1.88 | 1.76 | 1.71 | 1.44 | 1.37 | 1.30 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Oracle Corp. | 3.86 | 3.39 | 1.70 | 1.29 | 1.69 | 1.58 | 1.26 | 1.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palantir Technologies Inc. | 0.81 | 0.78 | 0.73 | 0.70 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palo Alto Networks Inc. | — | — | — | — | 3.52 | — | 2.15 | 1.40 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Salesforce Inc. | 27.10 | — | 4.36 | 5.11 | 7.48 | 10.29 | 9.75 | 15.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| ServiceNow Inc. | 6.63 | 11.21 | 10.61 | 21.76 | 11.15 | 16.31 | 5.62 | 5.76 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Synopsys Inc. | 14.02 | 7.78 | 9.47 | 10.65 | 9.50 | 9.18 | 16.88 | 9.00 | 27.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Workday Inc. | 11.69 | 24.99 | — | 8.31 | 12.50 | 3.44 | 5.62 | 28.97 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-K (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-K (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-K (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-K (reporting date: 2016-06-30), 10-Q (reporting date: 2016-03-31), 10-Q (reporting date: 2015-12-31), 10-Q (reporting date: 2015-09-30).
1 Q3 2022 Calculation
Working capital turnover
= (RevenuesQ3 2022
+ RevenuesQ2 2022
+ RevenuesQ1 2022
+ RevenuesQ4 2021)
÷ Working capital
= (4,513,000 + 4,025,400 + 3,832,300 + 3,737,000)
÷ 797,300 = 20.20
2 Click competitor name to see calculations.
The quarterly financial data reveals several notable trends and dynamics over the reported periods. Working capital initially remained within a moderate range but exhibited considerable volatility, especially in the later periods. Starting from a peak near 3,588,800 thousand US dollars in late 2015, working capital generally trended downward with significant fluctuations, reaching a low of approximately 307,600 thousand US dollars by the third quarter of 2019. Subsequently, although there were some recoveries, the value fluctuated without a clear linear trend, ending near 797,300 thousand US dollars by the first quarter of 2022.
Revenues demonstrated a generally upward trajectory across the time series, indicative of growth in the company's top-line performance. Starting at 2,714,000 thousand US dollars, revenues rose with some variability, showing cyclical spikes and occasional declines. Notably, revenues peaked at over 4,513,000 thousand US dollars by the first quarter of 2022, more than doubling the initial value, reflecting overall improvement in sales or service income over time.
The working capital turnover ratio, which measures the efficiency of the company's use of working capital to generate revenues, shows substantial variation and increasing recorded values in later periods. Early data entries for this ratio are missing, but from mid-2016 forward, the ratio shows an upward trend with several peaks and troughs. High turnover values were observed sporadically, for instance reaching a maximum of around 46.64 in late 2019 and 20.2 by the first quarter of 2022. These spikes suggest periods where revenues were very high relative to the working capital, which may be due to the rapid revenue growth coupled with a much lower working capital base during those quarters.
Overall, the data indicates that while the company achieved significant revenue growth, it concurrently experienced a reduction in working capital levels, which in turn increased the working capital turnover ratio. Such a pattern may indicate improved operational efficiency or a strategic shift to require less capital investment for generating sales; however, the volatility in working capital levels could also signal liquidity management challenges or changes in the asset and liability structure that merit closer examination.
- Working Capital
- Fluctuated significantly with a downward trend from 2015 to 2022, including precipitous drops and partial recoveries.
- Revenues
- Exhibited consistent growth overall, with revenues increasing by more than 60% from the earliest to the latest period.
- Working Capital Turnover
- Increased markedly towards the end of the reporting periods, reflecting a rising revenue-to-working capital ratio and suggesting enhanced capital efficiency but also notable volatility.
Average Receivable Collection Period
Automatic Data Processing Inc., average receivable collection period calculation (quarterly data)
| 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 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | Mar 31, 2016 | Dec 31, 2015 | Sep 30, 2015 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||||
| Receivables turnover | 4.96 | 5.74 | 5.55 | 5.50 | 5.30 | 5.81 | 5.85 | 5.98 | 5.61 | 5.61 | 5.76 | 5.81 | 5.63 | 5.25 | 6.12 | 6.72 | 6.40 | 6.25 | 7.01 | 7.27 | 6.74 | 6.55 | 7.32 | 6.69 | — | — | — | ||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
| Average receivable collection period1 | 74 | 64 | 66 | 66 | 69 | 63 | 62 | 61 | 65 | 65 | 63 | 63 | 65 | 70 | 60 | 54 | 57 | 58 | 52 | 50 | 54 | 56 | 50 | 55 | — | — | — | ||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||||||||
| Adobe Inc. | 37 | 35 | 38 | 43 | 37 | 37 | 41 | 40 | 39 | 41 | 43 | 50 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Cadence Design Systems Inc. | 42 | 44 | 42 | 41 | 40 | 49 | 51 | 46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| CrowdStrike Holdings Inc. | 80 | 85 | 77 | 100 | 83 | 83 | 93 | 125 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Datadog Inc. | 83 | 82 | 84 | 95 | 93 | 90 | 84 | 99 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Fair Isaac Corp. | 77 | 74 | 72 | 87 | 76 | 73 | 87 | 94 | 90 | 91 | 86 | 94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| International Business Machines Corp. | 33 | 36 | 37 | 43 | 40 | 38 | 34 | 35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intuit Inc. | 21 | 28 | 15 | 15 | 23 | 22 | 5 | 7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Microsoft Corp. | 62 | 66 | 57 | 83 | 60 | 65 | 57 | 82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Oracle Corp. | 40 | 39 | 40 | 49 | 43 | 41 | 43 | 52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palantir Technologies Inc. | 68 | 56 | 57 | 45 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palo Alto Networks Inc. | 88 | 72 | 65 | 106 | 70 | 65 | 69 | 111 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Salesforce Inc. | 59 | 63 | 52 | 134 | 60 | 65 | 62 | 132 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| ServiceNow Inc. | 47 | 47 | 48 | 86 | 51 | 55 | 49 | 82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Synopsys Inc. | 50 | 55 | 84 | 49 | 52 | 56 | 75 | 77 | 66 | 68 | 86 | 60 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Workday Inc. | 65 | 68 | 53 | 87 | 65 | 63 | 56 | 88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-K (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-K (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-K (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-K (reporting date: 2016-06-30), 10-Q (reporting date: 2016-03-31), 10-Q (reporting date: 2015-12-31), 10-Q (reporting date: 2015-09-30).
1 Q3 2022 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 4.96 = 74
2 Click competitor name to see calculations.
The receivables turnover ratio demonstrates a generally declining trend over the analyzed period. Starting from a high of 7.32 in December 2015, it gradually decreases with fluctuations, reaching 4.96 by March 2022. This indicates that the frequency at which receivables are collected has slowed over time.
Correspondingly, the average receivable collection period, measured in days, shows an overall increasing trend. Beginning at approximately 50 days in late 2015, it fluctuates moderately but rises to 74 days by March 2022. This suggests that the time taken to collect receivables has extended throughout the examined quarters.
- Receivables Turnover Ratio
- Peaked near 7.32 in December 2015, thereafter exhibiting a downward trend with minor rises, ultimately declining to below 5 by early 2022.
- Reflects a decreasing efficiency in converting receivables into cash within the fiscal periods reviewed.
- Average Receivable Collection Period
- Varied from around 50 days in late 2015 up to 74 days in early 2022.
- This increase indicates lengthening credit collection times, which can impact cash flow intensity negatively.
Overall, the data reveals a weakening in receivables management efficiency, with the company taking longer to collect outstanding debts as time progresses.
Average Payables Payment Period
Automatic Data Processing Inc., average payables payment period calculation (quarterly data)
| 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 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | Mar 31, 2016 | Dec 31, 2015 | Sep 30, 2015 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||||
| Payables turnover | 113.60 | 87.41 | 113.48 | 61.24 | 75.77 | 74.30 | 75.85 | 82.80 | 72.72 | 62.24 | 75.28 | 64.44 | 51.30 | 52.77 | 60.07 | 57.92 | 73.21 | 55.35 | 65.65 | 48.56 | 56.29 | 51.11 | 58.89 | 44.91 | — | — | — | ||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
| Average payables payment period1 | 3 | 4 | 3 | 6 | 5 | 5 | 5 | 4 | 5 | 6 | 5 | 6 | 7 | 7 | 6 | 6 | 5 | 7 | 6 | 8 | 6 | 7 | 6 | 8 | — | — | — | ||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||||||||||||
| Accenture PLC | 22 | 21 | 22 | 24 | 22 | 20 | 18 | 16 | 17 | 18 | 19 | 20 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Adobe Inc. | 55 | 66 | 56 | 61 | 68 | 65 | 54 | 65 | 48 | 61 | 56 | 46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| CrowdStrike Holdings Inc. | 8 | 24 | 5 | 19 | 13 | 20 | 15 | 3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Datadog Inc. | 32 | 61 | 26 | 39 | 61 | 60 | 29 | 60 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Fair Isaac Corp. | 22 | 21 | 24 | 23 | 20 | 20 | 22 | 23 | 20 | 26 | 34 | 25 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| International Business Machines Corp. | 50 | 49 | 47 | 56 | 54 | 49 | 44 | 47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intuit Inc. | 145 | 158 | 105 | 135 | 142 | 129 | 70 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Microsoft Corp. | 98 | 97 | 99 | 106 | 97 | 96 | 98 | 99 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Oracle Corp. | 48 | 45 | 34 | 35 | 38 | 34 | 25 | 29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palantir Technologies Inc. | 55 | 56 | 28 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Palo Alto Networks Inc. | 25 | 30 | 25 | 16 | 22 | 14 | 17 | 23 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| ServiceNow Inc. | 46 | 65 | 43 | 24 | 19 | 31 | 37 | 13 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Workday Inc. | 13 | 15 | 14 | 23 | 17 | 18 | 11 | 20 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-K (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-K (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-K (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-K (reporting date: 2016-06-30), 10-Q (reporting date: 2016-03-31), 10-Q (reporting date: 2015-12-31), 10-Q (reporting date: 2015-09-30).
1 Q3 2022 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 113.60 = 3
2 Click competitor name to see calculations.
- Payables Turnover
- The payables turnover ratio exhibits notable fluctuations across the reported periods, beginning from the earliest available data point at September 30, 2015, and extending through March 31, 2022. Initially, the ratio showed variability around the 44.91 to 65.65 range from late 2015 to 2017, indicating varied efficiency in managing payables during this timeframe.
- Subsequently, from 2017 to 2020, the ratio generally increased, reaching values in the vicinity of 70 to 82.8, suggesting improvement in the frequency of payables settlement. Noteworthy is the peak at September 30, 2020, with a ratio of 82.8, indicating a heightened turnover of accounts payable during this period.
- The ratio experienced some volatility thereafter, with a substantial increase in the last reported periods: it escalated sharply to 113.48 and 113.6 at December 31, 2021, and March 31, 2022, respectively, which may imply a considerable acceleration in payables payments or potentially changed payment practices or supplier terms.
- Average Payables Payment Period
- This metric reflects the average time taken to pay liabilities and shows an inverse trend to the payables turnover ratio, as expected. Initially, the payment period fluctuated between 5 and 8 days, evidencing some variability in payment timing.
- From 2019 onwards, the average payment period generally shortened, ranging mostly between 3 and 6 days. Particularly, there is a noticeable reduction to as few as 3 days in the latest periods (December 31, 2021, and March 31, 2022), implying a quicker conversion of obligations into cash outflows.
- The decreasing payment period aligns with the increasing payables turnover ratio, collectively indicating enhanced payables management efficiency, an accelerated payment process, or shifts in supplier payment terms during the more recent periods.
- Summary
- Over the analyzed periods, there is a clear trend of increasing payables turnover accompanied by a decreasing average payables payment period. This suggests an overall improvement in the speed and frequency with which payables are settled. The marked increases in turnover and reductions in payment days in the latest periods emphasize a strategic change towards faster payments or improved working capital management. These changes may reflect operational strategies to strengthen supplier relationships, optimize cash flow, or respond to market conditions.